Academic literature on the topic 'Rayleigh fading channel'

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Journal articles on the topic "Rayleigh fading channel"

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Heider, Inaam Abbas. "Improvement of Fading Channel Modeling Performance for Wireless Channel." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (June 1, 2018): 1451. http://dx.doi.org/10.11591/ijece.v8i3.pp1451-1459.

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Fading channel modeling is generally defined as the variation of the attenuation of a signal with various variables. Time, geographical position, and radio frequency which is included. Fading is often modeled as a random process. Thus, a fading channel is a communication channel that experiences fading. In this paper, the proposed system presents a new design and simulate a wireless channel using Rayleigh channels. Rayleigh channels using two approaches (flat and frequency-selective fading channels) in order to calculate some path space loss efforts and analysis the performance of different wireless fading channel modeling. The results show that the bite error rate (BER) performance is dramatically improved in the value of signal to noise ratio (SNR) is equal to 45dB. Finally, the experimental results show that the proposed method enhances the performance of fading channel modeling by reducing the error of BER when the SNR is reduced also. Moreover, the more accurate model is Rayleigh model which can be considered for developing fading channel model.
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Mohammed, Hasan Fadhil, and Ghanim Abdulkareem Mughir. "Performance evaluation of 4-quadrature amplitude modulation over orthogonal frequency division multiplexing system in different fading channels scenarios." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (October 1, 2022): 5123. http://dx.doi.org/10.11591/ijece.v12i5.pp5123-5135.

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<p>Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation (MCM) technique that divides the wide bandwidth into parallel narrow bands, each of which is modulated by orthogonal subcarriers. Currently, OFDM is a high-spectral efficiency modulation technique that is used in a variety of wired and wireless applications. The transmitted signal in a wireless communication channel spreads from transmitter to receiver through multiple reflective paths. This triggers multipath fading, which causes variations in the received signal's amplitude and phase. Slow/fast and frequency-selective/frequency-nonselective are the main types of multipath fading channels. Therefore, in this paper, we proposed new models for modeling multipath fading channels, such as the exponential fading channel and the Gamma fading channel. In addition, new bit-error-rate (BER) derivations have been derived. The performance of the OFDM system over proposed channel models has been evaluated using Monte-Carlo simulation and compared to the Rayleigh fading channel model. The obtained results via simulations show that the exponential fading channel at a rate parameter (λ=0.5) outperforms the Rayleigh fading channel by 6 dB for all values of Eb/No, while the Gamma fading channel at (α=2) outperforms the Rayleigh fading channel by 3 dB for all values of Eb/No.</p>
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Gnanaselvam, R., and M. S. Vasanthi. "Coverage Optimization in LoRa with Diverse Fading Wireless Channels." Journal of Physics: Conference Series 2335, no. 1 (September 1, 2022): 012008. http://dx.doi.org/10.1088/1742-6596/2335/1/012008.

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Abstract In LoRa (Long Range) network, the Probability of Coverage (PoCov) in the LoRa User Equipment (UEs) is evaluated in diverse fading wireless channels through closed expressions, particularly considering the distribution of Nakagami and Rayleigh wireless fading channels. The PoCov in Nakagami-m fading channel has been calculated approximately, similarly, the PoCov in Rayleigh fading channel was evaluated in an extract manner. Moreover, we see the effect of diverse interference under PoCov performance. In particular, consider interferences such as intra Spreading Factor (SF), inter SF, and both inter and intra SF.
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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 (December 27, 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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Yang, Yi Huai, Li Fang Wang, and Yuan Li. "Propagation Channel Modeling for Rayleigh and Rice Fading." Applied Mechanics and Materials 687-691 (November 2014): 3648–51. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3648.

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An important requirement for assessing technology for wireless applications is to have an accurate description of the wireless channel. Rayleigh and Rice are the most popular models for wireless channels. In this paper, we simulation study the most important statistical properties, such as PDF and CDF, of Rayleigh and Rice channels, we also simulate the outputs of complex signals which passed the Rayleigh and Rice channels, and give some useful results.
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Gómez-Déniz, E., L. Gómez, and H. W. Gómez. "The Slashed-Rayleigh Fading Channel Distribution." Mathematical Problems in Engineering 2019 (February 11, 2019): 1–14. http://dx.doi.org/10.1155/2019/2719849.

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We propose an alternative distribution for modelling fading-shadowing wireless channels. This distribution presents certain advantages over the Rayleigh-lognormal distribution and the K distribution and has proved useful in the setting described. We obtain closed-form expressions for the average channel capacity and for the average bit error rate of differential phase-shift keying and of minimum shift keying when the new distribution is used. This distribution can be obtained exactly as the sum of mutual independent Gaussian stochastic processes, because it must represent the simulation of the fading channel; that is, it simulates the signal envelope. Finally, we describe practical applications of this distribution, comparing it with the Rayleigh-lognormal and K distributions.
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Yu, Xiao Lei, Yin Shan Yu, Yu Yu Ji, and Dong Hua Wang. "Communication Performance of RFID System and Anti-Interference in the Multipath Rayleigh Fading Channel." Applied Mechanics and Materials 239-240 (December 2012): 1022–26. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1022.

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With the communication environment of RFID system developing from near field communication to long distance communication, Rayleigh fading with Doppler frequency shift emerges from multipath effect between the readers and electronic tags. A systemic study was focused on modeling and analysis of channel transmission for Type A tag signals in the multipath Rayleigh fading channel. Furthermore, the OFDM system was added to the RFID tag signals to improve the sensitivity of SNR in the Rayleigh fading channel. The SNR of tag signal is not sensitive in the multipath Rayleigh fading channel. However, the sensitivity increases after OFDM is added to the RFID system and the anti-interference ability is highly improved.
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Kang, Weimin. "A Nonbinary LDPC-Coded Probabilistic Shaping Scheme for a Rayleigh Fading Channel." Entropy 24, no. 11 (November 14, 2022): 1649. http://dx.doi.org/10.3390/e24111649.

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In this paper, a novel, nonbinary (NB) LDPC-coded probabilistic shaping (PS) scheme for a Rayleigh fading channel is proposed. For the NB LDPC-coded PS scheme in Rayleigh fading channel, the rotation angle of 16 quadrature amplitude modulation (QAM) constellations, 64QAM constellations and 256QAM constellations are optimized by the exhaustive search. The simulation results verify the information–theoretical analysis. Compared with the binary LDPC-coded PS scheme for Rayleigh fading channel, the proposed NB LDPC-coded PS scheme can improve error performance. In summary, the proposed NB LDPC-coded PS scheme for Rayleigh fading channel is reliable and thus suitable for future communication systems.
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Aráuz, Julio, Prashant Krishnamurthy, and Miguel A. Labrador. "Discrete Rayleigh fading channel modeling." Wireless Communications and Mobile Computing 4, no. 4 (June 2004): 413–25. http://dx.doi.org/10.1002/wcm.185.

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Gambe, Hirohisa, Kenji Yokoyama, Miyoshi Saito, and Kiyomichi Araki. "Channel parameter estimation in Rayleigh fading channel." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 88, no. 5 (2005): 1–11. http://dx.doi.org/10.1002/ecjc.20152.

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Dissertations / Theses on the topic "Rayleigh fading channel"

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van, Nobelen Robert. "Coding for the Rayleigh fading channel." Thesis, University of Canterbury. Electrical and Electronic Engineering, 1996. http://hdl.handle.net/10092/6060.

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The problem of effective coding for the Rayleigh fading channel is addressed. A signal transmitted over the Rayleigh fading channel experiences quasi-periodic deep fades in the signal amplitude, and random phase shifts. The fades in signal amplitude are the cause of error events and limit the bit error rate of an uncoded system to about 10-4 at a signal-to-noise ratio of 30 dB. For applications where a lower error rate is desired, more sophisticated methods of transmission and detection are required. We present an extensive generalised analysis of the probability of error of maximum likelihood sequence estimation techniques for the Rayleigh fading channel This analysis provides the criteria for good code design for the Rayleigh fading channel and we extend the recently developed area of geometrically uniform (GU) codes for the AWGN channel, to the Rayleigh fading channel, and present the results of searches for good GU trellis codes. The concept of geometric uniformity is extended to set of points to form geometrically uniform partitions of signal sets. The GU partitions readily allow powerful multi-level codes to be defined with good distance properties. Multi-level codes have the advantage of outperforming trellis codes in terms of decoding complexity at the cost of greater decoding delay. Good multi-level codes over GU partitions are presented and compared with similarly performing trellis codes. Finally a system is presented which combines the techniques of multiple symbol differential detection (MSDD) with multi-level coding to obtain a good probability of error performance without assuming coherent detection, or ideal channel state information.
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Hsu, Teh-Hsuan. "Robust concatenated codes for the slow Rayleigh fading channel." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2723.

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Sathini, Ramaswamy Vishnu Raghavan. "A comparative study of Rayleigh fading wireless channel simulators." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3046.

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Computer simulation is now increasingly being used for design and performance evaluation of communication systems. When simulating a mobile wireless channel for communication systems, it is usually assumed that the fading process is a random variate with Rayleigh distribution. The random variates of the fading process should also have other properties, like autocorrelation, spectrum, etc. At present, there are a number of methods to generate the Rayleigh fading process, some of them quite recently proposed. Due to the use of different Rayleigh fading generators, different simulations of the same communication system yield different results. Three methods, viz., the Jakes method, the IDFT method and the filtering WGN method, have been studied, simulated and compared based on the Rayleigh fading process' properties. Various communication systems have been simulated using the Rayleigh fading generators and the difference in the results, if any, have been analyzed. The research studies the different Rayleigh fading generators and compares them using the properties of the Rayleigh fading channel. It is found that the IDFT method and the filtering WGN method generate processes that have properties very close to the ideal Rayleigh fading process.
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Pan, Li. "Selective multistage detection algorithm in flat Rayleigh fading channel." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26735.

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Selective multistage detection algorithm applied in AWGN channel is first proposed in [1]. It is shown that the BER performance of this detector is slightly better than conventional multistage detector if the threshold level is properly selected. At the same time, the number of computations performed by the receiver is greatly reduced since MAI cancellation is only applied to those decision variables whose magnitudes are less than a threshold value. In this thesis, we will investigate the performance of selective multistage detection algorithm for the frequency nonselective Rayleigh fading channel which is more common in the wireless communications. The performance will be determined by computer simulation. First, we will consider the performance of selective multistage detection and nonselective multistage detection when the receiver perfectly estimates the channel gains of all of the users. Then we will employ pilots based estimation with optimum interpolator to estimate the channel gains. Receiver will make use of the estimated channel gain to detect the data of every user. Finally we will compare the performances of selective and nonselective multistage detectors under the imperfect channel estimation case. We also propose a modified selective multistage algorithm in order to improve the performance of selective multistage detector further without a large increase in the amount of computation. It applies partial MAI cancellation, instead of full cancellation, to those decision variables whose magnitudes are less than a threshold value. By employing the modified selective multistage algorithm, we will achieve the performance that is close to that of conventional multistage with perfect channel estimation.
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Manglani, Manish. "Wavelet Modulation in Gaussian and Rayleigh Fading Channels." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/34396.

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Wavelet Modulation (WM)---also referred to as fractal modulation---simultaneously sends data at multiple rates through an unknown channel. This novel multirate diversity strategy offers improved message recovery over conventional modulation techniques: if the message is not received at one rate due to the channel disturbances, it can be received at another rate where the channel is clear. Previous research has demonstrated the performance of wavelet modulation in Gaussian channels. This paper extends the investigation to the performance of wavelet modulation in time varying channels. We show that bit error rate (BER) wavelet demodulation performance in the additive, white, Gaussian noise (AWGN) channel is comparable to theoretical binary phase shift keying. Our results depict the improvement in performance that can be realized for time varying channels by utilizing the various rates of wavelet modulation; BER versus SNR curves for each fading channel show how the message at one rate can be more accurately recovered than at another rate. Furthermore, we also present results indicating the dramatic improvement in wavelet demodulation performance when multiple rates are available and utilized for demodulation. This improvement in performance is highly visible in BER performance for the AWGN and flat fading channels. Finally, a comparison of binary phase shift keying (BPSK) and WM in a frequency selective channel is performed. The BER improvement of WM is shown when demodulation is done at rates which are least corrupted by ISI. We illustrate our new algorithm that: identifies the channel characteristics; determines which rates are maximally corrupted by ISI; and, utilizes only those uncorrupted copies in demodulation.
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Teletar, İbrahim Emre. "Coding and multiaccess for the energy limited Rayleigh fading channel." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14759.

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Zhu, Chao. "Performance Analysis of Minimum Selection GSC with Channel Estimation Errors in Rayleigh Fading Channels." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1250184723.

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Jagiello, Kristin, and Charlie Cooper. "Convolutional Versus LDPC and Turbo Codes on the Rayleigh Fading Channel." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606117.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada
We consider the performance of low-density parity-check (LDPC) codes, turbo codes and convolutional codes over the binary-input AWGN channel with flat Rayleigh fading. LDPC and turbo codes are capacity-approaching codes for long codewords. For short and medium codewords we seek to determine if they still outperform the industry-standard memory-6, rate-1/2 convolutional code. For a fixed SNR, the probability of error for the codes of interest are plotted as a function of codelength. We find that for very short codewords, the convolutional code performs best.
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Vu, Hung Van. "Capacities of Bernoulli-Gaussian Impulsive Noise Channels in Rayleigh Fading." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1407370145.

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Al-Agamy, M. A. A. "Time-efficient error correction coding for the Rayleigh fading mobile communications channel." Thesis, University of Kent, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304148.

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Books on the topic "Rayleigh fading channel"

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Conka, Tahir. Performance analysis of noncoherent differential phase shift keying using Post-Detection Selection Combining over a Rayleigh fading channel. Monterey, Calif: Naval Postgraduate School, 1998.

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Oggier, Frédérique. Algebraic number theory and code design for Rayleigh fading channels. Hanover, MA: Now, 2004.

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Choy, Gary Ka-Chung. Comparative studies of space-time block codes and fading-resistant modulations in rayleigh fading channels. Ottawa: National Library of Canada, 2002.

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Lau, Andy. A concatenated Reed-Solomon-encoded PSK system for Rayleigh fading channels. Ottawa: National Library of Canada, 1993.

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Performance Analysis of Noncoherent Differential Phase Shift Keying Using Post-Detection Selection Combining Over a Rayleigh Fading Channel. Storming Media, 1998.

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Omidi, Mohammad Javad. Structures for kalman-based detection over rayleigh fading channels. 1998.

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Yu, Xiaoyong. Innovations based maximum likelihood sequence estimation for Rayleigh fading channels. 1995.

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Performance of Serially Concatenated Convolutional Codes with Binary Modulation in AWGN and Noise Jamming over Rayleigh Fading Channels. Storming Media, 2001.

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Book chapters on the topic "Rayleigh fading channel"

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Sudhamani, Chilakala, and M. Satya Sai Ram. "Cooperative Spectrum Sensing Over Rayleigh Fading Channel." In Lecture Notes in Networks and Systems, 231–39. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8204-7_24.

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Marina, Ninoslav. "Rayleigh Fading Multiple Access Channel Without Channel State Information." In Telecommunications and Networking - ICT 2004, 128–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27824-5_19.

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Routray, G., and P. Kanungo. "Rayleigh Fading MIMO Channel Prediction Using RNN with Genetic Algorithm." In Communications in Computer and Information Science, 21–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25734-6_4.

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Xu, Yao, Gang Wang, Liming Zheng, Rongkuan Liu, and Donglai Zhao. "BER Performance Evaluation of Downlink MUSA over Rayleigh Fading Channel." In Machine Learning and Intelligent Communications, 85–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73564-1_9.

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Lau, Vincent K. N., and S. V. Maric. "Variable rate adaptive channel coding for coherent and non-coherent rayleigh fading channel." In Crytography and Coding, 180–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0024463.

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Chopra, Shakti Raj, Akhil Gupta, and Himanshu Monga. "Performance Analysis of Space Time Trellis Codes in Rayleigh Fading Channel." In Harmony Search and Nature Inspired Optimization Algorithms, 957–67. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0761-4_90.

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Fard, Sina Mohammadi, Hadi Hashemi, Abbas Taherpour, and Tamer Khattab. "Non-uniform Quantized Distributed Sensing in Practical Wireless Rayleigh Fading Channel." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 78–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24540-9_7.

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Mayr, Bernhard, and Hans Weinrichter. "Fractional-rate hybrid PSK-TCM codes for the Rayleigh fading channel." In Lecture Notes in Computer Science, 121–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57856-0_12.

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Agrawal, Anand, Aman jain, Ritwik Singh, and Arvindra Kant Nagar. "Performance Analysis of MIMO-OFDM-IM System Using Rayleigh Fading Channel." In Soft Computing: Theories and Applications, 601–9. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0707-4_54.

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Tran, Truc Thanh, and Hyung Yun Kong. "A Method to Improve Reliability of Spectrum Sensing over Rayleigh Fading Channel." In Communications in Computer and Information Science, 280–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27204-2_34.

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Conference papers on the topic "Rayleigh fading channel"

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Ding, Y. H., R. J. Tian, J. S. Tao, X. R. Ma, X. C. Wang, and X. Ma. "SoS models for Rayleigh fading channel." In International conference on Communication Technology and Application. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/cta140111.

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Moradi, Saeed, and Saeed Gazor. "An OFDM Rayleigh Fading Channel Simulator." In IEEE Vehicular Technology Conference. IEEE, 2006. http://dx.doi.org/10.1109/vtcf.2006.427.

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de Oliveira Brante, Glauber Gomes, Richard Demo Souza, and Javier Garcia-Frias. "Analog joint source-channel coding in Rayleigh fading channels." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946689.

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Ta Duc Tuyen. "V-BLAST architecture in fading Rayleigh channel." In 2008 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2008. http://dx.doi.org/10.1109/atc.2008.4760624.

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Elsidig, Abdelmojeb, and Sharief Babiker. "Rayleigh Fading Channel Equalization using Neural Networks." In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE). IEEE, 2018. http://dx.doi.org/10.1109/iccceee.2018.8515895.

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Chen, Yifan, Zheng Dou, Yun Lin, and Ying Li. "Prediction of V2V channel quality under double-Rayleigh fading channels." In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE, 2020. http://dx.doi.org/10.1109/vtc2020-spring48590.2020.9129411.

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Shen, Dongya, Anxian Lu, Yanni Cui, Fuqiang Kuang, Xiupu Zhang, Ke Wu, and Jianping Yao. "On the channel capacity of MIMO Rayleigh-Lognormal fading channel." In 2010 International Conference on Microwave and Millimeter Wave Technology (ICMMT). IEEE, 2010. http://dx.doi.org/10.1109/icmmt.2010.5525261.

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Bhise, Suvarna, and Uday Pandit Khot. "Rayleigh and Ricean Fading Channel simulator-a review." In 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). IEEE, 2016. http://dx.doi.org/10.1109/icatcct.2016.7912116.

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Vani, Vepuri Prasanna. "Blind Interference Alignment Simulation over Rayleigh fading channel." In 2017 Ninth International Conference on Advanced Computing (ICoAC). IEEE, 2017. http://dx.doi.org/10.1109/icoac.2017.8441312.

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Alimohammad, Amirhossein, and Bruce F. Cockburn. "A Reconfigurable SOS-based Rayleigh Fading Channel Simulator." In 2006 IEEE Workshop on Signal Processing Systems Design and Implementation. IEEE, 2006. http://dx.doi.org/10.1109/sips.2006.352552.

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