Journal articles: 'Additive white Gaussian noise channel'

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ISAKA, Motohiko. "Oblivious Transfer from the Additive White Gaussian Noise Channel." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 2 (2010): 516–25. http://dx.doi.org/10.1587/transfun.e93.a.516.

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Ping Hou, B. J. Belzer, and T. R. Fischer. "Shaping gain of the partially coherent additive white Gaussian noise channel." IEEE Communications Letters 6, no. 5 (2002): 175–77. http://dx.doi.org/10.1109/4234.1001655.

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Honary, B., F. Ali, and M. Darnell. "Information capacity of additive white gaussian noise channel with practical constraints." IEE Proceedings I Communications, Speech and Vision 137, no. 5 (1990): 295. http://dx.doi.org/10.1049/ip-i-2.1990.0041.

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Hansen, Henrik Enggaard, Metodi P. Yankov, Leif Katsuo Oxenløwe, and Søren Forchhammer. "Optimization of Probabilistic Shaping for Nonlinear Fiber Channels with Non-Gaussian Noise." Entropy 22, no. 8 (2020): 872. http://dx.doi.org/10.3390/e22080872.

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Probabilistic constellation shaping is investigated in the context of nonlinear fiber optic communication channels. Based on a general framework, different link types are considered—1. dispersion-managed channels, 2. unrepeatered transmission channels and 3. ideal distributed Raman amplified channels. These channels exhibit nonlinear effects to a degree that conventional probabilistic constellation shaping strategies for the additive white Gaussian (AWGN) noise channel are suboptimal. A channel-agnostic optimization strategy is used to optimize the constellation probability mass functions (PMFs) for the channels in use. Optimized PMFs are obtained, which balance the effects of additive amplified spontaneous emission noise and nonlinear interference. The obtained PMFs cannot be modeled by the conventional Maxwell-Boltzmann PMFs and outperform optimal choices of these in all the investigated channels. Suboptimal choices of constellation shapes are associated with increased nonlinear effects in the form of non-Gaussian noise. For dispersion-managed channels, a reach gain in 2 spans is seen and across the three channel types, gains of >0.1 bits/symbol over unshaped quadrature-amplitude modulation (QAM) are seen using channel-optimized probablistic shaping.

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Zhou, Yuqian, Jianbo Jiao, Haibin Huang, Jue Wang, and Thomas Huang. "Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10085–86. http://dx.doi.org/10.1609/aaai.v33i01.330110085.

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Discriminative learning based denoising model trained with Additive White Gaussian Noise (AWGN) performs well on synthesized noise. However, realistic noise can be spatialvariant, signal-dependent and a mixture of complicated noises. In this paper, we explore multiple strategies for applying an AWGN-based denoiser to realistic noise. Specifically, we trained a deep network integrating noise estimating and denoiser with mixed Gaussian (AWGN) and Random Value Impulse Noise (RVIN). To adapt the model to realistic noises, we investigated multi-channel, multi-scale and super-resolution approaches. Our preliminary results demonstrated the effectiveness of the newly-proposed noise model and adaptation strategies.

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Liu, Qiang. "Rate-compatible LDPC convolutional codes over non-gaussian noise channel." MATEC Web of Conferences 309 (2020): 01010. http://dx.doi.org/10.1051/matecconf/202030901010.

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This paper is aimed to study the characteristics of the underwater acoustic channel with non-Gaussian noise channel. And Gaussian mixture model (GMM) is utilized to fit the background noise over the non-Gaussian noise channel. Furthermore, coding techniques which use a sequence of rate-compatible low-density parity-check (RC-LDPC) convolutional codes with separate rates are constructed based on graph extension method. The performance study of RC-LDPC convolutional codes over non-Gaussian noise channel and the additive white Gaussian noise (AWGN) channel is performed. Study implementation of simulation is that modulation with binary phase shift keying (BPSK), and iterative decoding based on pipeline log-likelihood rate belief propagation (LLRBP) algorithm. Finally, it is shown that RC-LDPC convolutional codes have good bit-rate-error (BER) performance and can effectively reduce the impact of noise.

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Lev, Omri, and Anatoly Khina. "Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level." Entropy 25, no. 11 (2023): 1522. http://dx.doi.org/10.3390/e25111522.

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We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with respect to the noise level, that uses modulo-lattice modulation with multiple layers. For each layer, we employ either analog linear modulation or analog pulse-position modulation (PPM). We show that the designed scheme with linear layers requires less energy compared to existing solutions to achieve the same quadratically increasing distortion profile with the noise level; replacing the linear layers with PPM layers offers an additional improvement.

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Abedi, O., and M. C. E. Yagoub. "Performance Comparison of UWB Pulse Modulation Schemes under White Gaussian Noise Channels." International Journal of Microwave Science and Technology 2012 (October 2, 2012): 1–9. http://dx.doi.org/10.1155/2012/590153.

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In this paper, and for the first time, the performance of various ultra wideband pulse modulation schemes are discussed and compared in terms of narrowband interference robustness, symbol error rate, system complexity, data rate, and maximum transmit power with respect to transceiver distance and channel capacity. The channel model is the UWB IEEE 802.15.3a multipath indoor channel model under additive white Gaussian noise. The transmit power was evaluated by integrating the fifth derivative of the power spectrum density of the Gaussian pulse over the whole bandwidth.

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MARIÑO, INÉS P., CELSO GREBOGI, and EPAMINONDAS ROSA. "RECONSTRUCTION OF INFORMATION-BEARING CHAOTIC SIGNALS IN ADDITIVE WHITE GAUSSIAN NOISE: PERFORMANCE ANALYSIS AND EVALUATION." International Journal of Bifurcation and Chaos 11, no. 10 (2001): 2631–35. http://dx.doi.org/10.1142/s021812740100367x.

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Chaotic signals can be used as carriers of information in communication systems since they own some redundancy that can be exploited to reconstruct missing or distorted parts of a waveform that has been transmitted through a communication channel. In this paper, we extend our previous results for the ideal noise free channel [Mariño et al., 1999] to a more general situation where additive white Gaussian noise corrupts the information-bearing chaotic signal.

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Chen, Shaolei, Liangliang Zhu, Zhaoyang Zhang, Xiaoming Chen, and Kedi Wu. "Accumulate rateless codes and their performances over additive white Gaussian noise channel." IET Communications 7, no. 4 (2013): 372–81. http://dx.doi.org/10.1049/iet-com.2012.0315.

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Zaerin, M., and B. Seyfe. "Multiuser modulation classification based on cumulants in additive white Gaussian noise channel." IET Signal Processing 6, no. 9 (2012): 815–23. http://dx.doi.org/10.1049/iet-spr.2011.0357.

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Sales-Llopis, Marti, and Seb J. Savory. "Approximating the Partially Coherent Additive White Gaussian Noise Channel in Polar Coordinates." IEEE Photonics Technology Letters 31, no. 11 (2019): 833–36. http://dx.doi.org/10.1109/lpt.2019.2909803.

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Artail, Hassan A., and Jatinder S. Bedi. "A new receiver for additive white Gaussian noise channels." Integrated Computer-Aided Engineering 7, no. 2 (2000): 169–80. http://dx.doi.org/10.3233/ica-2000-7206.

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Lu, Zhi Jia, Zhen Yong Liu, Wan Qiang Han, and Yu Jian Li. "Analysis of Channel Transmission Performance in UHF RFID System." Advanced Materials Research 1049-1050 (October 2014): 1876–79. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1876.

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This paper analyzes the characteristics of four kinds of possible channels in UHF RFID communication system, and makes a deep analysis on additive white Gaussian noise channel and binary symmetric channel. At the same time, it sets up the ASK modulation and demodulation simulation models of those two kinds of channels, summarizing the relationship between the bit error rate and the variety of signal to noise ratio of those two kinds of system. Finally, it concludes the optimal parameter of transmission process in the RFID system in experiments.

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Enayet Ullah, Shaikh, Md Golam Rashed, and Most Farjana Sharmin. "Encrypted message transmission in a QO-STBC encoded MISO wireless Communication system under implementation of low complexity ML decoding algorithm." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (2012): 53–58. http://dx.doi.org/10.24297/ijct.v2i1.2617.

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In this paper, we made a comprehensive BER simulation study of a quasi- orthogonal space time block encoded (QO-STBC) multiple-input single output(MISO) system. The communication system under investigation has incorporated four digital modulations (QPSK, QAM, 16PSK and 16QAM) over an Additative White Gaussian Noise (AWGN) and Raleigh fading channels for three transmit and one receive antennas. In its FEC channel coding section, three schemes such as Cyclic, Reed-Solomon and Â½-rated convolutionally encoding have been used. Under implementation of merely low complexity ML decoding based channel estimation and RSA cryptographic encoding /decoding algorithms, it is observable from conducted simulation test on encrypted text message transmission that the communication system with QAM digital modulation and Â½-rated convolutionally encoding techniques is highly effective to combat inherent interferences under Raleigh fading and additive white Gaussian noise (AWGN) channels. It is also noticeable from the study that the retrieving performance of the communication system degrades with the lowering of the signal to noise ratio (SNR) and increasing in order of modulation.

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Hu, Rong, Haonan Zhang, and Huan Yang. "Feedback Approach for the Relay Channel with Noisy Feedback and Its Security Analysis." Entropy 26, no. 8 (2024): 651. http://dx.doi.org/10.3390/e26080651.

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Relay channels capture the essence of several important communication scenarios such as sensor network and satellite communication. In this paper, first, we propose an efficient coding scheme for an additive white Gaussian noise (AWGN) relay channel in the presence of AWGN feedback, which generalizes the conventional scheme for the AWGN relay channel with noiseless feedback by introducing a lattice-based strategy to eliminate the impact of the feedback channel noise on the performance of the original scheme. Next, we further extend the proposed scheme to the multi-input single-output (MISO) fading relay channel (FRC) with noisy feedback. The key to this extension is to use a pre-coding strategy to transform the MISO channel into a single-input single-output (SISO) channel and applying a two-dimensional lattice coding strategy to deal with the feedback fading channel noise. Finally, we analyze the security performance of our proposed scheme in several cases, and the results of this paper are further illustrated by numerical examples.

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Averina, Larisa I., and Oleg K. Kamentsev. "Application of complex-valued convolutional neural networks for equalization and detection of SEFDM systems." Physics of Wave Processes and Radio Systems 26, no. 4 (2023): 95–103. http://dx.doi.org/10.18469/1810-3189.2023.26.4.95-103.

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Background. The disadvantage of spectrally efficient signals with frequency multiplexing is the occurrence of intersymbol interference, which is further aggravated when these signals propagate in frequency selective channels. Aim. The possibility and effectiveness of using neural network approaches for channel equalization and signal detection in communication systems using SEFDM signals has been assessed. Methods. A receiver structure for SEFDM systems based on a deep complex-valued convolutional neural network is proposed, which allows recovering bits from the temporal representation of the signal without using the fractional Fourier transform and inverting the cross-correlation matrix between frequency subcarriers. A two-stage network training scheme has been developed. Based on simulation modeling, a comparative analysis of the noise immunity of SEFDM systems was carried out both in a channel with white Gaussian noise and in a channel with Rayleigh fading, using classical and neural network receivers. Results. It is shown that there is no loss of noise immunity in channels with additive white Gaussian noise and an increase in noise immunity of the system up to 2 dB in the channel specified by the extended automotive model (3GPP-EVA). Conclusion. The effectiveness of using deep neural complex-valued convolutional networks as receivers for spectrally efficient communication systems, as well as their advantage over classical ones, is shown.

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Bystrom, M., and J. W. Modestino. "Combined source-channel coding schemes for video transmission over an additive white Gaussian noise channel." IEEE Journal on Selected Areas in Communications 18, no. 6 (2000): 880–90. http://dx.doi.org/10.1109/49.848242.

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Chisab, Raad Farhood. "An active technique for power saving in WSN under additive white gaussian noise channel." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 386–96. https://doi.org/10.11591/ijece.v9i1.pp386-396.

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The WSN works with feature of self-power supply by solar cell or by the battery or together at the same time. Therefore, the power dissipation is the big problem in wireless sensor network (WSN) especially when it is works for long time. The efficient method for reducing the power consumption within working is needed. The process of reducing waste power is one of the top priorities of scientists and designers of wireless sensor networks. The aim of this paper is to find the dominant method to reduce the power consumption in the wireless sensor network in order to stay works for long time and maintain the links with other nodes without loss of connection and transfer the information correctly. In this paper, a modified method was invented to minimize power utilization per data bit in a connection. This new method depends on the optimization process for reducing the power consumption as low as possible. All the tests of simulation process were done in additive white Gaussian noise (AWGN) channel. Numerical results demonstrated that the new method reduce the power when different values of noise are present with different types of modulation. Also the distance that the WSN will reach the information to it will be increase with presence of various noise amounts with different types of modulation. As a result, the power was decreased and the signal was reach more distance.

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Ni'amah, Khoirun, Muhammad Panji Kusuma Praja, and Yuninda Dwianti Marimbun. "Comparative Analysis of 16-QAM and 64-QAM Modulation in Additive White Gaussian Noise and Rayleigh Fading Channels." CESS (Journal of Computer Engineering, System and Science) 7, no. 1 (2021): 90. http://dx.doi.org/10.24114/cess.v7i1.26729.

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This reseach simulates and analyzes paramaters bit error rate (BER) of 16-QAM and 64-QAM modulation on Additive White Gaussian Noise and Rayleigh Fading channels. This research aims to determine 5G modulation with the level of data quality after the transmission process is carried out. The modulation simulation results obtained will be compared with the theoretical bit error rate (BER). The simulation results obtained from the two channel scenarios used are 16-QAM modulation reaching BER 10-4, AWGN channel only requires 15 dB Eb/N0 and for Rayleigh Fading channel it requires 38 dB Eb/N0. The BER theoretical results obtained for the 16-QAM modulation of the AWGN channel have a difference of 3 dB with the simulation results, while for the Rayleigh Fading channel it is 5 dB. Then, the simulation results of 64-QAM modulation AWGN channel to achieve BER 10-4 requires Eb/N0 of 24.6 dB, Rayleigh Fading of 47 dB. The theoretical results of BER obtained for the 64-QAM modulation of the AWGN channel have a difference of 1 dB with the simulation results, while for the Rayleigh Fading channel it is 0.5 dB. In this study, between 16-QAM and 64-QAM 5G modulation is more suitable to use 16-QAM modulation because it requires less power to achieve the desired BER 10-4.

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Chen, Wei, Feng Li, and Yiting Peng. "3D-MIMO Channel Estimation under Non-Gaussian Noise with Unknown PDF." Electronics 8, no. 3 (2019): 316. http://dx.doi.org/10.3390/electronics8030316.

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Three-dimensional-multiple-input-multiple-output (3D-MIMO) technology has attracted a lot of attention in the field of wireless communication. Most of the research mainly focuses on channel estimation model which is affected by additive-white-Gaussian-noise (AWGN). However, under the influence of some specified factors, such as electronic interference and man-made noise, the noise of the channel does not follow the Gaussian distribution anymore. Sometimes, the probability density function (PDF) of the noise is unknown at the receiver. Based on this reality, this paper tries to address the problem of channel estimation under non-Gaussian noise with unknown PDF. Firstly, the common support of angle domain channel matrix is estimated by compressed sensing (CS) reconstruction algorithm and a decision rule. Secondly, after modeling the received signal as a Gaussian mixture model (GMM), a data pruning algorithm is exerted to calculate the order of GMM. Lastly, an expectation maximization (EM) algorithm for linear regression is implemented to estimate the the channel matrix iteratively. Furthermore, sparsity, not only in the time domain, but in addition in the angle domain, is utilized to improve the channel estimation performance. The simulation results demonstrate the merits of the proposed algorithm compared with the traditional ones.

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Li, Daoben. "Overlapped Multiplexing Principle and an Improved Capacity on Additive White Gaussian Noise Channel." IEEE Access 6 (2018): 6840–48. http://dx.doi.org/10.1109/access.2017.2787730.

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Al Bassam, Nizar, and Oday Jerew. "Design and Implementation of a Chaotic Scheme in Additive White Gaussian Noise Channel." Journal of Computer Networks and Communications 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5976282.

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A new chaotic scheme named Flipped Chaotic On-Off Keying (FCOOK) is proposed for binary transmission. In FCOOK, the low correlation value between the stationary signal and its mirrored version is utilized. Transmitted signal for binary 1 is a chaotic segment added to its time flipped (mirrored) version within one bit duration, while in binary 0, no transmission takes place within the same bit duration. The proposed scheme is compared with the standard chaotic systems: Differential Chaos Shift Keying (DCSK) and Correlation Delay Shift Keying (CDSK). The Bit Error Rate (BER) of FCOOK is studied analytically based on Gaussian approximation method. Results show that the BER performance of FCOOK outperforms DCSK and CDSK in AWGN channel environment and with variousEb/Nolevels. Additionally, FCOOK offers a double bit rate compared with the standard DCSK.

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Rojas, Alejandro J. "Stabilizability of nonminimum phase unstable plants with arbitrary multiplicity over AWGN channels." Sba: Controle & Automação Sociedade Brasileira de Automatica 23, no. 4 (2012): 404–14. http://dx.doi.org/10.1590/s0103-17592012000400002.

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In the present paper we obtain the infimal signal-to-noise ratio (SNR) required for the stabilizability of a linear output feedback loop over an additive white Gaussian noise (AWGN) channel in closed-form. The focus on AWGN channels allow us to then define the minimal channel capacity required for stabilizability. Finally, the infimal SNR for stabilizability also allow us to identify in closed-form the related stabilizing Hermitian positive semidefinite solution to the continuous-time algebraic Riccati equation of LQ control with vanishing state weight and repeated eigenvalues.

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Sheikh-Hosseini, Mohsen, and Ghosheh Abed Hodtani. "On the capacity of additive white mixture Gaussian noise channels." Transactions on Emerging Telecommunications Technologies 30, no. 7 (2019): e3585. http://dx.doi.org/10.1002/ett.3585.

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Jondral, Friedrich K. "White Gaussian Noise – Models for Engineers." Frequenz 72, no. 5-6 (2018): 293–99. http://dx.doi.org/10.1515/freq-2017-0064.

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AbstractThis paper assembles some information about white Gaussian noise (WGN) and its applications. It starts from a description of thermal noise, i. e. the irregular motion of free charge carriers in electronic devices. In a second step, mathematical models of WGN processes and their most important parameters, especially autocorrelation functions and power spectrum densities, are introduced. In order to proceed from mathematical models to simulations, we discuss the generation of normally distributed random numbers. The signal-to-noise ratio as the most important quality measure used in communications, control or measurement technology is accurately introduced. As a practical application of WGN, the transmission of quadrature amplitude modulated (QAM) signals over additive WGN channels together with the optimum maximum likelihood (ML) detector is considered in a demonstrative and intuitive way.

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Chisab, Raad Farhood. "An active technique for power saving in WSN under additive white gaussian noise channel." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 386. http://dx.doi.org/10.11591/ijece.v9i1.pp386-396.

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The work with feature of self-power supply by solar cell or by the battery or together at the same time. Therefore, the power dissipation is the big problem in wireless sensor network (WSN) especially when it is works for long time. The efficient method for reducing the power consumption within working is needed. The process of reducing waste power is one of the top priorities of scientists and designers of wireless sensor networks. The aim of this paper is to find the dominant method to reduce the power consumption in the wireless sensor network in order to stay works for long time and maintain the links with other nodes without loss of connection and transfer the information correctly. In this paper, a modified method was invented to minimize power utilization per data bit in a connection. This new method depends on the optimization process for reducing the power consumption as low as possible. All the tests of simulation process were done in additive white Gaussian noise (AWGN) channel. Numerical results demonstrated that the new method reduce the power when different values of noise are present with different types of modulation. Also the distance that the WSN will reach the information to it will be increase with presence of various noise amounts with different types of modulation. As a result, the power was decreased and the signal was reach more distance.

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Bretienbach, Jerome R. "The Capacity of the White Gaussian Noise Channel." Probability in the Engineering and Informational Sciences 4, no. 3 (1990): 345–53. http://dx.doi.org/10.1017/s0269964800001650.

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The capacity of the white Gaussian noise (WGN) channel is widely stated asS/N0nats/unit time. This conclusion is commonly derived either formally, or from the capacity,Wln(l +S/N0W), of the corresponding band-limited channel with bandwidthW, by takingW→8. In this paper, the WGN channel capacity is instead found directly by treating WGN as an arbitrary noise sequence that whitens in a general sense. In addition, the coding theorems proved make explicit the class of allowable receivers, either finite- or infinite-dimensional correlation receivers, or unconstrained. The capacities for these three receiver classes are found to be, respectively:S/N0forS> 0, and 0 forS= 0; and 8 for allS≥ 0. In those cases where the capacity is infinite, actual transmitter–receiver pairs are specified that achieve capacity.

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Lee, Sungmin, and Moonsik Min. "Convexity of the Capacity of One-Bit Quantized Additive White Gaussian Noise Channels." Mathematics 10, no. 22 (2022): 4343. http://dx.doi.org/10.3390/math10224343.

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In this study, the maximum error-free transmission rate of an additive white Gaussian noise channel with a symmetric analog-to-digital converter (ADC) was derived as a composite function of the binary entropy function, Gaussian Q-function, and the square root function, assuming that the composite function was convex on the set of all non-negative real numbers. However, because mathematically proving this convexity near zero is difficult, studies in this field have only presented numerical results for small values in the domain. Because the low-signal-to-noise (SNR) regime is considered to be a major application area for one-bit ADCs in wireless communication, deriving a concrete proof of the convexity of the composite function on small SNR values (non-negative values near zero) is important. Therefore, this study proposes a novel proof for convexity, which is satisfied for all non-negative values, based on the continuity of the involved functions.

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Subramaniam, A. D., W. R. Gardner, and B. D. Rao. "Iterative joint source-channel decoding of speech spectrum parameters over an additive white Gaussian noise channel." IEEE Transactions on Audio, Speech and Language Processing 14, no. 1 (2006): 152–62. http://dx.doi.org/10.1109/tsa.2005.854114.

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FANG, Song, Hideaki ISHII, and Jie CHEN. "Control over Additive White Gaussian Noise Channels: Bode-Type Integrals, Channel Blurredness, Negentropy Rate, and Beyond." IFAC Proceedings Volumes 47, no. 3 (2014): 3770–75. http://dx.doi.org/10.3182/20140824-6-za-1003.00307.

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Liu, Haoqiang, Hongbo Zhao, Xiaowen Chen, and Wenquan Feng. "An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments." PLOS ONE 16, no. 5 (2021): e0250930. http://dx.doi.org/10.1371/journal.pone.0250930.

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Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise (AWGN) channel and degrades severely while facing the impulsive noise. However, navigation communication often suffers from impulsive interference due to the occurrence of high amplitude “spikes”. At this time, the conventional Gaussian noise assumption is inadequate. The impulsive component of interference has been found to be significant which influences the reliability of transmitted information. Therefore the LDPC decoding algorithms for AWGN channel are not suitable for impulsive noise environments. Consider that LDPC codes over GF(q) perform better than binary LDPC in resisting burst errors for current navigation system, it is necessary to conduct research on LDPC codes over GF(q). In this paper, an optimized initialization by calculating posterior probabilities of received symbols is proposed for non-binary LDPC decoding on additive white Class A noise (AWAN) channel. To verify the performance of the proposed initialization, extensive experiments are performed in terms of convergence, validity, and robustness. Preliminary results demonstrate that the decoding algorithm with the optimized initialization for non-binary LDPC codes performs better than the competing methods and that of binary LDPC codes on AWAN channel.

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Huang, Qiang, and Tao Song. "Finite blocklength feedback approach for multi-antenna wireless channels." PLOS ONE 19, no. 2 (2024): e0297810. http://dx.doi.org/10.1371/journal.pone.0297810.

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Ultra-reliable low-latency communication (URLLC) is a key technology in future wireless communications, and finite blocklength (FBL) coding is the core of the URLLC. In this paper, FBL coding schemes for the wireless multi-antenna channels are proposed, which are based on the classical Schalkwijk-Kailath scheme for the point-to-point additive white Gaussian noise channel with noiseless feedback. Simulation examples show that the proposed feedback-based schemes almost approach the corresponding channel capacities.

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T.D., Ebinowen1 Y. K. Abdulrazak2 &. B.O Tijani3. "OPTIMIZATION OF MIMO SYSTEM USING SIC-MMSE IN ADDITIVE WHITE GAUSSIAN NOISE RAYLEIGH FADING CHANNELS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 9 (2018): 146–53. https://doi.org/10.5281/zenodo.1411110.

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Multiple-Input Multiple-Output(MIMO) technology is one of the most promising wireless technologies that can efficiently boost the data transmission rate, improve on system coverage and enhance the link liability. The performance of MIMO system can be improved by using multiple antennas at transmitter and receiver side to provide spatial diversity. The use of multiple antennas at both transmitter and receiver side can considerably increase the channel throughput which makes it irresistible for high data rate wireless applications. In this paper, the effects of the number of transmit and receiver’s antennas on the performance of MIMO system over AWGN and Rayleigh fading channels with MMSE receiver were analyzed. This paper also analyzed the effect of inter-symbol interference in MIMO.Channel estimation scheme was developed called the Successive Interference Cancellation Minimum Mean Square Error (SIC-MMSE) based on bit error rate using Mat-lab software. The results show an improvement to the MMSE scheme. As a result of reduction in the amplified noise of MMSE scheme, SIC-MMSE was formed with an improvement of threepercentage (3%).

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Brychkov, Yu A., and N. V. Savischenko. "Capacity of a communication channel with quadrature phase-shift keying and phase quantization." Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki 166, no. 3 (2024): 306–19. http://dx.doi.org/10.26907/2541-7746.2024.3.306-319.

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The influence of the number of phase quantization levels L on the capacity CM,L of a communication channel with additive white Gaussian noise (AWGN) was studied in a communication system using QPSK (4-PSK).

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Dmitriev, Alexander, Anton Ryzhov, and Christian Sierra-Teran. "Statistical Characteristics of Differential Communication Scheme Based on Chaotic Radio Pulses." Electronics 12, no. 6 (2023): 1495. http://dx.doi.org/10.3390/electronics12061495.

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The aim of this paper is to analyze statistical characteristics of the new differential communication scheme based on chaotic radio pulses in the presence of additive white noise (Gaussian) and using various distributions of instantaneous values of the chaotic signal. The characteristic feature of the presented scheme is the usage of significantly shorter time delays compared to the classical differential chaotic shift keying (DCSK) scheme. In order to investigate noise immunity of the direct chaotic differential communication (DC2) scheme, numerical statistical simulation is performed in terms of the bit error probability (BER) of the transmitted information. Then, the results of this simulation are compared to the results of analytical research. It is shown that due to the inherent internal noises of the scheme, the bit error probability (BER) for arbitrarily large values of the ratio of the signal energy to the Gaussian noise spectral density (Eb/N0) is higher than 10−3 for the values of processing gain K < 30 for any distribution of instantaneous values of the chaotic signal. With the increase of the K values, there is a rapid decrease in BER in a system with a channel without white noise. Numeric simulation is performed, which verifies and clarifies the analytical estimates obtained earlier regarding the bit error probabilities as functions of processing gain and ratio of the signal energy to the Gaussian noise spectral density. The minimum values of Eb/N0 are obtained, which provide necessary error probabilities with the processing gain set. It is shown that with a high processing gain (K > 30), the communication scheme considered here operates effectively both in a channel without fluctuation noises and in a channel with additive white Gaussian noise. The statistical characteristics of the proposed scheme do not depend on the choice of a particular distribution of instantaneous values of the chaotic signal. Taking into account that the scheme uses short delays, which do not depend on the processing gain of the used signal and are easily implemented, for example, on fragments of a high-frequency cable, the results obtained show good prospects for its implementation in a physical experiment.

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Zhou, Hong Min, Ying Zhang, and Ying Yu. "Noise Reduction Multi-Carrier Differential Chaos Shift Keying System." Journal of Circuits, Systems and Computers 27, no. 14 (2018): 1850233. http://dx.doi.org/10.1142/s021812661850233x.

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In multi-carrier differential chaos shift keying (MC-DCSK) system, channel noises pollute both the reference and data signals, resulting in deteriorated performance. To reduce noises in received signals in MC-DCSK, a novel noise reduction MC-DCSK (NR-MC-DCSK) system is proposed in this paper. The proposed system utilizes duplicated chaotic samples, rather than different ones, as the reference. At the receiver side, identical samples can be averaged before correlation detection, which helps decrease the noise interferences and thus brings performance improvement. Theoretical bit error rate (BER) expressions are derived and verified by simulation results for additive white Gaussian noise and multipath Rayleigh fading channels. Finally, comparisons to MC-DCSK and other DCSK-based systems are given to confirm the superiority of the proposed system in BER performance.

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Song, Yang, Jie Yang, Min Zheng, and Chen Peng. "Disturbance attenuation for Markov jump linear system over an additive white Gaussian noise channel." International Journal of Control 89, no. 12 (2016): 2482–91. http://dx.doi.org/10.1080/00207179.2016.1164343.

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Zope, Rajendrakumar Govinda, and Balasaheb Shrirangrao Agarkar. "Channel Estimation for DS-CDMA Rake Receiver using Sparse Recovery Approach." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 1 (2022): 41–46. http://dx.doi.org/10.35940/ijrte.f6841.0511122.

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In the literature of direct-sequence code-division multiple-access (DS-CDMA), for issues related to channel estimation, some exclusive architectures have been proposed, which are characterized by known channel noise statistics and noise observation. But in reality, the channel parameters are frequently assessed utilizing training sequences that lead to difficulty in obtaining the channel noise statistics. Channel estimation quality has been proved to play an important role in the performance of rake receiver. This paper addresses the issues of optimizing DS–CDMA rake receiver channel estimation equipped with an Iterative least square sparse recovery (IL2SR) channel estimator. Moreover, the ambient noises corrupt the signal received and multiple-access interference further aggravates it. Because of this observation noises become hard to acquire. Hence this paper proposes as an iterative least square structure for channel estimation algorithm in rake receiver employed in DS-CDMA communication systems. Further, examination of blind channel estimation problem for rake-based DS-CDMA communication framework having multi-path fading channels with time variation is also attempted. The validity of the proposed techniques has been verified through results obtained from simulation for different channel parameters and spreading codes. Further exploration has been carried out with execution of the IL2SR with Rake receiver in DS-CDMA framework for multi-path fading channels. It is found that better performance is obtained with this framework under various channels with different spreading codes. The proposed system is compared with Kalman based techniques and it was found that DS-CDMA framework under additive white gaussian noise (AWGN)channel with IL2SR receiver reveals better outcomes in terms of bit error rate (BER). Also, there has been improvement in video quality while using the proposed IL2SR receiver with increase in the values of ratio of signal to noise ratio.

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Rajendrakumar, Govinda Zope, and Shrirangrao Agarkar Balasaheb. "Channel Estimation for DS-CDMA Rake Receiver using Sparse Recovery Approach." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 1 (2022): 41–46. https://doi.org/10.35940/ijrte.F6841.0511122.

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<strong>Abstract:</strong> In the literature of direct-sequence code-division multiple-access (DS-CDMA), for issues related to channel estimation, some exclusive architectures have been proposed, which are characterized by known channel noise statistics and noise observation. But in reality, the channel parameters are frequently assessed utilizing training sequences that lead to difficulty in obtaining the channel noise statistics. Channel estimation quality has been proved to play an important role in the performance of rake receiver. This paper addresses the issues of optimizing DS–CDMA rake receiver channel estimation equipped with an Iterative least square sparse recovery (IL2SR) channel estimator. Moreover, the ambient noises corrupt the signal received and multiple-access interference further aggravates it. Because of this observation noises become hard to acquire. Hence this paper proposes as an iterative least square structure for channel estimation algorithm in rake receiver employed in DS-CDMA communication systems. Further, examination of blind channel estimation problem for rake-based DS-CDMA communication framework having multi-path fading channels with time variation is also attempted. The validity of the proposed techniques has been verified through results obtained from simulation for different channel parameters and spreading codes. Further exploration has been carried out with execution of the IL2SR with Rake receiver in DS-CDMA framework for multi-path fading channels. It is found that better performance is obtained with this framework under various channels with different spreading codes. The proposed system is compared with Kalman based techniques and it was found that DS-CDMA framework under additive white gaussian noise (AWGN)channel with IL2SR receiver reveals better outcomes in terms of bit error rate (BER). Also, there has been improvement in video quality while using the proposed IL2SR receiver with increase in the values of ratio of signal to noise ratio.

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Cui, Jin, Ding Rong Shao, and Bo Zhang. "New OFDM Channel Estimation Method Based on ISI Cancellation." Applied Mechanics and Materials 651-653 (September 2014): 2343–46. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2343.

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According to the application needs of OFDM techniques, a new method of orthogonal frequency division multiplexing (OFDM) channel estimation based on inter symbol interference (ISI) cancellation was proposed. The channel estimation was based on circular convolution, after which a low-complexity frequency-domain ZF equalization was used. The performance of bit-error-rate (BER) was also simulated and analyzed under the additive-white-Gaussian-noise (AWGN) channel, Rayleigh fading channel with mobility. The simulation results showed that this method could be applied to the channels of time-varying environments, and could get better performance than the traditional cyclic prefix (CP)-OFDM.

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Quyen, Nguyen Xuan. "Bit-Error-Rate Evaluation of High-Efficiency Differential-Chaos-Shift-Keying System Over Wireless Channels." Journal of Circuits, Systems and Computers 27, no. 01 (2017): 1850008. http://dx.doi.org/10.1142/s0218126618500081.

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A high-efficiency differential-chaos-shift-keying (HE-DCSK) system has been proposed previously for the improvement of both bit-rate and bit-error-rate (BER) performance in comparison with the conventional DCSK system. This improvement made HE-DCSK be a promising solution for chaos-based communications. However, the performance of this system was just investigated under an additive white Gaussian noise (AWGN) channel. This is main motivation for our work to evaluate the performance of HE-DCSK over a typical wireless channel which is simultaneously affected by white noise, fading, multipath, and delay spread. The operation of the transmitter and receiver over the wireless channel is modeled and described. The BER performance is evaluated by theoretical analysis using Gaussian approximation and discrete integration. The numerical results obtained by Monte Carlo simulations are presented to verify the analyzed performance. Obtained results point out that the HE-DCSK system not only performs better than other DCSK-based ones under wireless channels but also can exploit the multipath characteristic to improve the performance.

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Zhang, Xiaoyue. "Performance analysis of GFSK modulation over AWGN channel." Applied and Computational Engineering 37, no. 1 (2024): 52–60. http://dx.doi.org/10.54254/2755-2721/37/20230469.

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This paper analyses the performance of Gaussian Frequency Shift Keying (GFSK) modulation in Additive White Gaussian Noise (AWGN) channels. Using MATLAB 2022b for simulations, the study explores GFSK modulation principles, the role of Gaussian low-pass filters, the characteristics reflected by Power Spectral Density (PSD), and the influence of Bit Time-Bandwidth Product (BT) on Bit Error Rate (BER). It has been observed that the Gaussian filter restricts sidelobe amplitudes and enhances spectral efficiency. Through varying BT values, it is observed that higher BT values correlate with lower BER. Additionally, the study successfully reconstructs original baseband signals through sampling decisions, confirming GFSK modulation effectiveness.

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Tian, Tian, Kunde Yang, Fei-Yun Wu, and Ying Zhang. "Channel Estimation for Underwater Acoustic Communications in Impulsive Noise Environments: A Sparse, Robust, and Efficient Alternating Direction Method of Multipliers-Based Approach." Remote Sensing 16, no. 8 (2024): 1380. http://dx.doi.org/10.3390/rs16081380.

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Channel estimation in Underwater Acoustic Communication (UAC) faces significant challenges due to the non-Gaussian, impulsive noise in ocean environments and the inherent high dimensionality of the estimation task. This paper introduces a robust channel estimation algorithm by solving an l1−l1 optimization problem via the Alternating Direction Method of Multipliers (ADMM), effectively exploiting channel sparsity and addressing impulsive noise outliers. A non-monotone backtracking line search strategy is also developed to improve the convergence behavior. The proposed algorithm is low in complexity and has robust performance. Simulation results show that it exhibits a small performance deterioration of less than 1 dB for Channel Impulse Response (CIR) estimation in impulsive noise environments, nearly matching its performance under Additive White Gaussian Noise (AWGN) conditions. For Delay-Doppler (DD) doubly spread channel estimation, it maintains Bit Error Rate (BER) performance comparable to using ground truth channel information in both AWGN and impulsive noise environments. At-sea experimental validations for channel estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems further underscore the fast convergence speed and high estimation accuracy of the proposed method.

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Fu, Yu, and Hongwen Yang. "Improving Log-Likelihood Ratio Estimation with Bi-Gaussian Approximation under Multiuser Interference Scenarios." Entropy 23, no. 6 (2021): 784. http://dx.doi.org/10.3390/e23060784.

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Accurate estimation of channel log-likelihood ratio (LLR) is crucial to the decoding of modern channel codes like turbo, low-density parity-check (LDPC), and polar codes. Under an additive white Gaussian noise (AWGN) channel, the calculation of LLR is relatively straightforward since the closed-form expression for the channel likelihood function can be perfectly known to the receiver. However, it would be much more complicated for heterogeneous networks where the global noise (i.e., noise plus interference) may be dominated by non-Gaussian interference with an unknown distribution. Although the LLR can still be calculated by approximating the distribution of global noise as Gaussian, it will cause performance loss due to the non-Gaussian nature of global noise. To address this problem, we propose to use bi-Gaussian (BG) distribution to approximate the unknown distribution of global noise, for which the two parameters of BG distribution can easily be estimated from the second and fourth moments of the overall received signals without any knowledge of interfering channel state information (CSI) or signaling format information. Simulation results indicate that the proposed BG approximation can effectively improve the word error rate (WER) performance. The gain of BG approximation over Gaussian approximation depends heavily on the interference structure. For the scenario of a single BSPK interferer with a 5 dB interference-to-noise ratio (INR), we observed a gain of about 0.6 dB. The improved LLR estimation can also accelerate the convergence of iterative decoding, thus involving a lower overall decoding complexity. In general, the overall decoding complexity can be reduced by 25 to 50%.

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Hosseinpour, Ali, and Reza Montasari. "Modeling and Analyzing Trellis-Coded Modulation on Power Line Communication Systems." International Journal of Strategic Engineering 5, no. 1 (2022): 1–10. http://dx.doi.org/10.4018/ijose.292443.

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Power Line channels present a very harsh environment for high speed data transfer which degrades the data transmission. Using proper channel coding can enhance the data transmission over PLC systems. The purpose of using channel coding is to encode the information transmitted over communication channel in such a way that in presence of other interferences and noise, the error can be detected and possibly corrected. This paper investigates the Bit Error Rate (BER) performance of PLC systems based on Orthogonal Frequency Division Multiplexing (OFDM), in presence of Middleton class A noise, and applying Trellis Coded Modulation (TCM) / Rectangular Quadrature Amplitude Modulation (QAM) TCM as a channel coding. Simulations are undertaken in Matlab 2013b. The obtained results illustrates that although trellis codes produce improvements in the SNR in presence of Additive white Gaussian noise (AWGN), they do not perform well with multipath power line channel and Middleton class A noise. Therefore the Rectangular QAM TCM has been used to enhance the results.

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Chen, Xiao Min, Xiao Dan Yu, Wei Tan, and Xiang Bin Yu. "Iterative Detection Scheme for Turbo-BLAST System with Adaptive Power Allocation in the Presence of Channel State Information Imperfection." Advanced Materials Research 646 (January 2013): 120–25. http://dx.doi.org/10.4028/www.scientific.net/amr.646.120.

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We propose an iterative detection scheme for Turbo-BLAST system with optimal power allocation in the presence of channel state information imperfection. The proposed scheme uses the channel estimation matrix for detection and treats the interference caused by channel estimation errors and additive white Gaussian noise as equivalent noise where the channel estimation matrix and the statistical characteristic of channel estimation errors are necessitated. Simulation results show the proposed algorithm is effective to improve bit error rate (BER) performance through iterative detection for modified Turbo-BLAST system with optimal power allocation in the presence of imperfect channel state information.

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Anade, Dadja, Jean-Marie Gorce, Philippe Mary, and Samir M. Perlaza. "An Upper Bound on the Error Induced by Saddlepoint Approximations—Applications to Information Theory." Entropy 22, no. 6 (2020): 690. http://dx.doi.org/10.3390/e22060690.

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This paper introduces an upper bound on the absolute difference between: ( a ) the cumulative distribution function (CDF) of the sum of a finite number of independent and identically distributed random variables with finite absolute third moment; and ( b ) a saddlepoint approximation of such CDF. This upper bound, which is particularly precise in the regime of large deviations, is used to study the dependence testing (DT) bound and the meta converse (MC) bound on the decoding error probability (DEP) in point-to-point memoryless channels. Often, these bounds cannot be analytically calculated and thus lower and upper bounds become particularly useful. Within this context, the main results include, respectively, new upper and lower bounds on the DT and MC bounds. A numerical experimentation of these bounds is presented in the case of the binary symmetric channel, the additive white Gaussian noise channel, and the additive symmetric α -stable noise channel.

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Savischenko, N. V., and E. V. Lebeda. "Multi-position signal coherent reception error probability in a channel with generalized gamma or K fading and white noise." Information and Control Systems, no. 1 (February 19, 2019): 76–88. http://dx.doi.org/10.31799/1684-8853-2019-1-76-88.

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Introduction:One of the main problems in communication theory is giving definitions to such characteristics of an information transmission system as noise immunity (error probability) and transfer rate. Their knowledge allows you to determine the transmitted information quality and quantity, respectively. The calculation of the error probability for a communications channel (for example, with fading) allows you to estimate the loss or gain in noise immunity with modems of various signal designs.Purpose:Developing a technique for calculating the probability of a bit error with coherent reception of signals in a communication channel with additive white Gaussian noise and general (non-selective in terms of frequency) fading described by gamma distribution orKdistribution (called gamma fading andKfading respectively).Results:The obtained relations allow you to calculate the reception noise immunity in arbitrary twodimensional signaling designs for a communication channel with gamma orKfading and additive white Gaussian noise. Examples are given of bit error probability calculation for phase modulation and quadrature-amplitude modulation signals. The calculation of error probability in a channel with fading for two different distribution laws was reduced to a new special function which is an integral of the product of Tricomi function and an algebraic function. This allowed us to develop a universal mathematical approach valid for both variants of fading. To calculate the new special function introduced in the article and its representation through the known functions, we used both classical hypergeometric functions and a generalized hypergeometric functions of two variables which is Kampé de Fériet function.Practical relevance:When using multi-position signal structures in new telecommunication standards, this technique allows you to obtain an estimate of their potential noise immunity, objectively comparing signal constructions and correctly choosing the best options for new modem developer.

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Souillah, Hadjer, Lahcen Hadj Abderrahmane, Belkacem Imine, and Adda Ali-Pacha. "Effect study of the probability of error on the frozen bit positions in polar codes." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e12084. https://doi.org/10.54021/seesv5n2-779.

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Polar codes are a channel coding technique designed to achieve the symmetric capacity of a binary input discrete memoryless channel (BI-DMC). Constructing polar codes involves selecting the most reliable channels from a set of polar sub-channels, which are linear combinations of the original channel outputs . This paper examines the relationship between error probability and the positions of frozen bits in polar codes, considering different channel models, including the Binary Erasure Channel (BEC), Binary Symmetric Channel (BSC), and Additive White Gaussian Noise (AWGN) channel, while maintaining a constant code length. The study aims to understand how variations in error probability affect the reliability of sub-channels. These variations, in turn, influence the position of the frozen bits, which play a crucial role in the encoding process. By exploring these factors, the research seeks to optimize polar codes for different communication scenarios, enhancing performance by gaining a deeper understanding of how error probabilities and frozen bit positions interact across various channel conditions.

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Journal articles on the topic 'Additive white Gaussian noise channel'

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