Academic literature on the topic 'Zero Forcing (ZF)'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Zero Forcing (ZF).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Zero Forcing (ZF)"

1

Patra, Jyoti P., and Poonam Singh. "Improved Signal Detection Techniques for QOSTBC System in Fast Fading Channel." Journal of Telecommunications and Information Technology 1 (March 31, 2020): 6–12. http://dx.doi.org/10.26636/jtit.2020.138019.

Full text
Abstract:
Most existing quasi-orthogonal space time Block coding (QO-STBC) schemes have been developed relying on the assumption that the channel is at or remains static during the length of the code word symbol periods to achieve an optimal antenna diversity gain. However, in time-selective fading channels, this assumption does not hold and causes intertransmit-antenna-interferences (ITAI). Therefore, the simple pairwise maximum likelihood decoding scheme is not sufficient to recover original transmitted signals at the receiver side. To avoid the interferences, we have analyzed several signal detection schemes, namely zero forcing (ZF), two-step zero forcing (TS-ZF), minimum mean square error (MMSE), zero forcing - interference cancelation - decision feedback equalizer (ZF-IC-DFE) and minimum mean square error - interference cancelation { decision feedback equalizer (MMSE-IC-DFE). We have proposed two efficient iterative signal detection schemes, namely zero forcing - iterative interference cancelation - zero forcing { decision feedback equalization (ZF-IIC-ZF-DFE) and minimum mean square error - parallel interference cancelation - zero forcing – decision feedback equalization (MMSE-IIC-ZF-DFE). The simulation results show that these two proposed detection schemes significantly outperform all conventional methods for QOSTBC system over time selective channel.
APA, Harvard, Vancouver, ISO, and other styles
2

Prayitno, R. A., N. M. A. E. D. Wirastuti, and I. G. A. K. D. D. Hartawan. "ANALISIS UNJUK KERJA ZERO FORCING EQUALIZER PADA SISTEM OFDM MIMO." Jurnal SPEKTRUM 5, no. 1 (2018): 68. http://dx.doi.org/10.24843/spektrum.2018.v05.i01.p10.

Full text
Abstract:
Wireless network is one of the most important things in the development of telecommunication. However, the existing wireless technology has not been able to efficiently create a very high data rate because it was very sensitive to fading. Therefore, Orthogonal Frequency Division Multiplexing (OFDM) technology combined with MIMO (Multiple Input Multiple Output) transceiver system was used to gain more diversity and bandwidth efficiency. The propagation performed on the OFDM MIMO system was multipath propagation. To reduce Intersymbol Interference (ISI) was used Zero Forcing (ZF) equalizer which works by combining channel response and equalizer response itself to eliminate ISI. This study aims to determine the effect of Zero Forcing Equalizer on OFDM MIMO system using rayleigh fading channel and compared the result with OFDM MIMO STBC system. The research method used was simulation using MatLab R2015a. The simulation results showed that the performance of OFDM MIMO ZF system was worse than OFDM MIMO STBC system i.e BER vs EbNo simulation, eye diagram simulation, and constellation diagram simulation. The OFDM MIMO ZF system was required an Eb / No value more than 25 dB to achieve BER 10-4 while the OFDM MIMO STBC system only required an Eb / No value of 10.5 dB to achieve BER 10-4. The eye pattern generated by the OFDM MIMO ZF system was more closed and the dispersion of constellation signals away from the ideal point while OFDM MIMO STBC system displayed a more open eye pattern and the dispersion of its constellation signal closer to the ideal point. It indicated more ISI occurs in the OFDM MIMO ZF system than that in OFDM MIMO STBC system.
APA, Harvard, Vancouver, ISO, and other styles
3

HENDRY, JANS, and ANGGUN FITRIAN ISNAWATI. "Analisis Perbandingan Kinerja Ekualisasi Zero Forcing dan MMSE pada FBMC-OQAM." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7, no. 3 (2019): 600. http://dx.doi.org/10.26760/elkomika.v7i3.600.

Full text
Abstract:
ABSTRAKKebutuhan layanan data pada teknologi 5G sangatlah tinggi. FBMC sebagai solusi dari kelemahan yang ada di OFDM menjadi teknologi yang digunakan pada komunikasi 5G. Pada OFDM, penggunaan ekualisasi sudah sangat banyak dilakukan penelitiannya dan menunjukkan hasil yang bervariasi tergantung dari jenis ekualisasi yang digunakan. Beberapa jenis ekualisasi yang digunakan pada modulasi OFDM antara lain Zero Forcing dan MMSE. Pada penelitian ini, beberapa variasi ekualisasi tersebut diterapkan pada FBMC dan dianalisis perbandingan kinerjanya. Penggunaan modulasi Offset-QAM yang dipadukan dengan FBMC mempunyai fungsi sebagaimana cyclic prefix pada OFDM (CP-OFDM) yakni untuk mengurangi inter symbol interference (ISI). Hasilnya menunjukkan bahwa nilai BER pada FBMC yang menggunakan ekualisasi MMSE pada SNR 5 dB mempunyai nilai sebesar 0,2941 sedangkan BER pada FBMC yang menggunakan ekualisasi ZF sebesar 0,2875. Nilai SER untuk ZF sebesar 0,5514 dan untuk MMSE sebesar 0,5391. Kapasitas kanal Hal ini menunjukkan bahwa kinerja FBMC dengan menggunakan ekualisasi MMSE lebih baik dibanding Zero Forcing.Kata kunci: FBMC, Offset-QAM, ekualisasi, Zero Forcing, MMSE ABSTRACTThe needs of data service on 5G technology is extremely necessary. FBMC as a solution over OFDM's drawbacks becomes the technology that is used in 5G communication. In OFDM technology, various equalisation methods have been used and final result highly depends on which method being used. Some of equalisation methods used in OFDM modulation are Zero Forcing (ZF) and MMSE. In this research, those equalisation methods were used on FBMC modulation and the performances were analyzed. The use of Offset-QAM modulation combined with FBMC actually functioning like Cyclic Prefix on OFDM which is to reduce Inter Symbol Interference (ISI). The result shows that BER value on FBMC that used MMSE equalisation when SNR 5 dB equals to 0.2941 whereas BER value on FBMC that used ZF equals to 0.2875. The value of SER on ZF is 0.5514 and MMSE is 0.5391. Channel Capacity calculation also shows that FBMC performance with MMSE is better than Zero Forcing.Keywords: FBMC, Offset-QAM, equalization, Zero Forcing, MMSE
APA, Harvard, Vancouver, ISO, and other styles
4

Roji, Y., Prasad Avutha Shiva, Dakoori Arun, and Dandu Binith. "Channel Estimation of ZF and MMSE in MIMO System." Channel Estimation of ZF and MMSE in MIMO System 8, no. 11 (2023): 7. https://doi.org/10.5281/zenodo.10212388.

Full text
Abstract:
Enhancing communication efficiency and dependability in multiple input/multiple output systems (MIMO) is largely dependent on channel estimation. Two popular methods for calculating mean square error (MMSE) and zero forcing (ZF) are obtaining precise channel estimation. By creating an inverted channel matrix, the Zero Forcing method seeks to neutralize interference and essentially eliminate the influence of inter-symbol interference. Though it may be susceptible to errors and noise, this approach is computationally efficient. On the other hand, the aim of lowest mean square error channel estimating is to minimize the mean square error between the estimated and actual channels. keeping in mind both noise and interference. This technique provides improved robustness compared to ZF, especially in challenging signal conditions. Both ZF and MMSE techniques contribute significantly to the advancements of MIMO systems, with each method presenting its own advantages and trade-offs. The choice of channel estimation method depends on specific application requirements, computational complexity considerations, and the prevailing signal environment. Accurate channel estimates are crucial for optimizing data rates and ensuring reliable communication in MIMO Systems.Keywords:- Bit error rate (BER), Rayleigh Channels, Zero Forcing (ZF), Multiple Input Multiple Output Systems (MIMO), Signal to Noise Ratio (SNR), Binary Phase Shift Keying (BPSK), and Minimum Mean Square Error Method (MMSE).
APA, Harvard, Vancouver, ISO, and other styles
5

Girija, S. P., and Rameshwar Rao. "Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment." Communications in Science and Technology 6, no. 1 (2021): 1–10. http://dx.doi.org/10.21924/cst.6.1.2021.224.

Full text
Abstract:
Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.
APA, Harvard, Vancouver, ISO, and other styles
6

Wang, Desheng, Haizhen Liu, Xiaoqiang Ma, Jun Wang, Yanrong Peng, and Yanyan Wu. "Energy Harvesting for Internet of Things with Heterogeneous Users." Wireless Communications and Mobile Computing 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/1858532.

Full text
Abstract:
We study the energy harvesting problem in the Internet of Things with heterogeneous users, where there are three types of single-antenna users: ID users that only receive information, EH users that can only receive energy, and ID/EH users that receive information and energy simultaneously from a multiantenna base station via power splitting. We aim to maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the ID users and ID/EH users by jointly designing the power allocation at the transmitter and the power splitting strategy at the ID/EH receivers under the maximum transmit power and the minimum energy harvesting constraints. Specifically, we first apply the semidefinite relaxation (SDR), zero-forcing (ZF), and maximum ratio transmission (MRT) techniques to solve the nonconvex problems. We then apply the zero-forcing dirty paper coding (ZF-DPC) technique to eliminate the multiuser interference and derive the closed-form optimal solution. Numerical results show that ZF-DPC provides higher achievable minimum SINR than SDR and ZF in most cases.
APA, Harvard, Vancouver, ISO, and other styles
7

Thurpati, Sammaiah, Mahesh Mudavath, and P. Muthuchidambaranathan. "Performance Analysis of Linear Precoding in Downlink Based on Polynomial Expansion on Massive MIMO Systems." Journal of Physics: Conference Series 2062, no. 1 (2021): 012006. http://dx.doi.org/10.1088/1742-6596/2062/1/012006.

Full text
Abstract:
Abstract The performance of linear precoding schemes in downlink Massive MIMO systems is dealt with in this paper. Linear precoding schemes are incorporated with zero-forcing (ZF) and maximum ratio transmission (MRT), truncated polynomial expansion (TPE), regularized zero force (RZF) in Downlink massive MIMO systems. Massive MIMO downlink output is evaluated with linear precoding included. This paper expresses the performance of achievable sum-rate linear precoding with variable signal-to-noise (SNR) ratio and achievable sum rate and several transmitter-receiver antennas, such as imperfect CSI, less complex processing, and inter-user interference. The transmitter has complete state information on the channel. The information narrates how a signal propagates to the receiver from the transmitter and reflects, for example, the cumulative effect of distance scattering, fading, and power decay. They show that the performance analysis of two linear precoding techniques, i.e., Maximum Ratio Transmission (MRT) and Zero Forcing (ZF) for downlink mMIMO output network over a perfect chain. The results show the improved ZF precoding achievable sum rate compared to the MRT precoding schemes and compared the average achievable rate RZF and TPE.
APA, Harvard, Vancouver, ISO, and other styles
8

Akande, Damilare O., Zachaeus K. Adeyemo, Olakunle O. Arowolo, Olasunkanmi F. Oseni, and Oluwole O. Obanisola. "Hybridization of zero forcing-minimum mean square error equalizer in multiple input multiple output system." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (2022): 836. http://dx.doi.org/10.11591/ijeecs.v26.i2.pp836-845.

Full text
Abstract:
Transmission of high data rate over multipath environment is associated with many wireless applications. However, this transmission results in high delay which leads to ISI distortion and causes high error. The existing LE in MIMO systems such as ZF equalizer used in addressing this problem reduces the ISI distortion completely but results in noise amplification. Likewise, MMSE equalizer only reduces the noise but cannot eliminate ISI. Therefore, this paper proposed a hybrid LE for Wi-Fi over Weibull fading channel. The hybridized ZF-MMSE equalizer was developed using conventional ZF and MMSE equalizers. Digital transmitted signal propagated over Weibull fading channel is received at the receiver through multiple antennas and then combined using MRC. The combined signal is then equalized using hybrid ZF-MMSE to eliminate both the ISI and the amplified noise. The developed model was simulated in MATLAB software environment and evaluation was performed using BER and Pout. The results obtained revealed that the hybrid ZF-MMSE equalizer gave better performance over existing equalizers in a MIMO system. Therefore, the proposed equalizer will help improve the performance of the Wi-Fi technology.
APA, Harvard, Vancouver, ISO, and other styles
9

Damilare, O. Akande1, K. Adeyemo1 Zachaeus, O. Arowolo1 Olakunle, F. Oseni1 Olasunkanmi, and O. Obanisola2 Oluwole. "Hybridization of zero forcing-minimum mean square error equalizer in multiple-input multiple-output system." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (2022): 836–45. https://doi.org/10.11591/ijeecs.v26.i2.pp836-845.

Full text
Abstract:
Transmission of high data rate over multipath environment is associated with many wireless applications. However, this transmission results in high delay which leads to inter-symbol interference (ISI) distortion and causes high error. The existing linear equalizer (LE) in multiple-input multiple-output (MIMO) systems such as zero forcing (ZF) equalizer used in addressing this problem reduces the ISI distortion completely but results in noise amplification. Likewise, minimum mean square error (MMSE) equalizer only reduces the noise but cannot eliminate ISI. Therefore, this paper proposed a hybrid LE for wireless fidelity (Wi-Fi) over Weibull fading channel. The hybridized ZF-MMSE equalizer was developed using conventional ZF and MMSE equalizers. Digital transmitted signal propagated over Weibull fading channel is received at the receiver through multiple antennas and then combined using maximal-ratio combining (MRC). The combined signal is then equalized using hybrid ZF-MMSE to eliminate both the ISI and the amplified noise. The developed model was simulated in MATLAB software environment and evaluation was performed using bit error rate (BER) and pout. The results obtained revealed that the hybrid ZF-MMSE equalizer gave better performance over existing equalizers in a MIMO system. Therefore, the proposed equalizer will help improve the performance of the Wi-Fi technology.
APA, Harvard, Vancouver, ISO, and other styles
10

Hassan, Ashraf, and Ali Saleh. "The Effect of the Eigenvalues of the Zero-Forcing Detector on Its Performance in the Space-Division Multiplexing System." International Journal of Intelligent Engineering and Systems 14, no. 1 (2021): 340–55. http://dx.doi.org/10.22266/ijies2021.0228.32.

Full text
Abstract:
Zero-Forcing (ZF) detector is used in Space-Division Multiplexing (SDM) receiver to remove interference among the received symbols. Previous works showed that the power of channel noise is enhanced in the output of the ZF detector. They recommend using the ZF detector when the received Signal-to-Noise Ratio (SNR) is high. This work proves that the performance of the ZF detector depends on the eigenvalues of the channel correlation matrix. The paper shows that if the sum of the eigenvalues of this correlation matrix is equal to the rank of the channel matrix, the ZF detector will not enhance noise power at its outputs. Moreover, if the sum of the eigenvalues is smaller than the rank of the channel matrix, the ZF detector will reduce noise power at its outputs. In this work, a theorem, which demonstrates the performance of the ZF detector in SDM receiver, is introduced and proved. The proposed work uses smart antennas in the transmitter and receiver to control the elements and eigenvalues of the channel matrix. The introduced theorem and a complete SDM receiver with ZF detector are simulated and evaluated at different conditions with different criteria. A real-time SDM receiver with ZF detector is also implemented and evaluated. The simulation and implementation results are shown at the end of this study. The results of the proposed systems show that a ZF detector can be used to remove interference in the SDM system without enhancing the channel noise.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Zero Forcing (ZF)"

1

Ngo, Hien Quoc, Michail Matthaiou, Trung Q. Duong, and Erik G. Larsson. "Uplink Performance Analysis of Multicell MU-SIMO Systems with ZF Receivers." Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92849.

Full text
Abstract:
We consider the uplink of a multicell multiuser single-input multiple-output system where the channel experiences both small and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base station (BS) has perfect channel state information of all users in its cell. We derive  new, exact analytical expressions for the uplink rate, symbol error rate, and outage probability per user, as well as alower bound on the achievable rate. This bound is very tight and becomes exact in the large-number-of-antennas limit. We further study the asymptotic system performance in the regimes of high signal-to-noise ratio (SNR), large number of antennas, and large number of users per cell. We show that at high SNRs, the system is interference-limited and hence, we cannot improve the system performance by increasing the transmit power of each user. Instead, by increasing the number of BS antennas, the effects of interference and noise can be reduced, thereby improving the system performance. We demonstrate that, with very large antenna arrays at the BS, the transmit power of each user can be made inversely proportional to the number of BS antennas while maintaining a desired quality-of-service. Numerical results are presented to verify our analysis.
APA, Harvard, Vancouver, ISO, and other styles
2

Shrestha, Sanjeeb. "Addressing the hidden terminal problem in MU-MIMO WLANs with relaxed zero-forcing approach." Thesis, Optimal ZF precoding vector, 2017. http://hdl.handle.net/10453/116766.

Full text
Abstract:
University of Technology Sydney. Faculty of Engineering and Information Technology.<br>An ever-increasing data rate demand, mainly due to the proliferation of numerous smart devices, enterprises’ mission critical networks, and industry automation, has mounted tremendous pressure on today’s Wireless Local Area Networks (WLANs). Several avenues such as bandwidth, constellation density, the Multiple Input Multiple Output (MIMO) technique, etc., have been explored, e.g., IEEE802.11n/ac standards, to keep up with the demand. Future WLAN standard, e.g., IEEE802.11ax, with potential technologies such as uplink Multi-User (MU)-MIMO, full duplex transmission, etc., is anticipated by 2019. Having said that, there has been a strong emphasis on solving the technical issues with WLANs along with the addition of new frontiers in order to cope with the data rate demanded. One such appending decade-long issue is the inevitable Hidden Terminal (HT) problem in a distributive, decentralised and densely deployed WLANs, which fundamentally arises because of the transmission time overlaps between different transmitters operating at a particular frequency. The consequence is that it causes collisions of signals, which sharply reduces the system throughput. In the context of MU-MIMO based WLANs, several designs for a general network scenario, without the consideration of the HT problem, have been proposed, bringing efficiency by avoiding the collision of signals. However, a dedicated design, which could effectively address the HT problem in MU-MIMO WLANs and also become interoperable (with legacy standards) and feasible with existing hardware, is lacking to the best of our knowledge. In this thesis, we propose a solution for the HT problem which has three fundamental attributes. First, a) at the Physical (PHY) layer, the Zero-forcing (ZF) transmission strategy with fairness and throughput aware precoding is proposed, b) a hybrid scheduling scheme, combining the packet position-based First In First Out (FIFO) and channel quality-based scheme, namely the Best of the Two Choices, is designed, c) at the Medium Access Control (MAC) layer, Degrees-of-Freedom (DoF) based Transmission Opportunity (TXOP) for Access Points (APs) is developed which is backed by an extended Point Coordination Function (PCF), d) an explicit channel acquisition framework is proposed for ZF which has a reduced signaling time overhead of 98.6740 μs compared to IEEE802.11ac. e) performance evaluation methodologies are: i) hardware testbed results of the PHY strategy, which shows a received SNR gain of about 6 dB on average, and about 10 dB in comparison to the HT scenario, ii) simulation results of the MAC design, which shows a constant throughput gain of 4 − 5 times w.r.t. the popular Request to Send/Clear to Send (RTS/CTS) solution. Second, to address the interoperability issue, we purposefully use the standard frame format except for some required logical changes. Notably, the transition mechanism of our design, and for any MAC that uses standard frame formats, is investigated meticulously. The transition condition, transition steps and transition frame formats are detailed. Third, to address a practical constraint of an imperfect Channel State Information (CSI) at APs, a) we incorporate the Finite Rate Feedback (FRF) model in our solution. The effects on system parameters such as quantisation error bounds, throughput loss w.r.t. perfect CSI, etc., are discussed with closed-form analytical expressions, b) instead of an ideal ZF technique, a Relaxed ZF (RZF) framework is considered, in which the interference and power constraints of the optimisation problem are relaxed to the interference upper bound and to the maximum transmit power respectively. Our results lead to a distributive algorithm for calculating the optimal ZF precoding vector which suits the distributive, decentralised and uncoordinated nature of MU-MIMO WLANs.
APA, Harvard, Vancouver, ISO, and other styles
3

Ben, Salem Aymen. "The Application of Multiuser Detection to Spectrally Efficient MIMO or Virtual MIMO SC-FDMA Uplinks in LTE Systems." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30351.

Full text
Abstract:
Single Carrier Frequency Division Multiple Access (SC-FDMA) is a multiple access transmission scheme that has been adopted in the 4th generation 3GPP Long Term Evolution (LTE) of cellular systems. In fact, its relatively low peak-to-average power ratio (PAPR) makes it ideal for the uplink transmission where the transmit power efficiency is of paramount importance. Multiple access among users is made possible by assigning different users to different sets of non-overlapping subcarriers. With the current LTE specifications, if an SC-FDMA system is operating at its full capacity and a new user requests channel access, the system redistributes the subcarriers in such a way that it can accommodate all of the users. Having less subcarriers for transmission, every user has to increase its modulation order (for example from QPSK to 16QAM) in order to keep the same transmission rate. However, increasing the modulation order is not always possible in practice and may introduce considerable complexity to the system. The technique presented in this thesis report describes a new way of adding more users to an SC-FDMA system by assigning the same sets of subcarriers to different users. The main advantage of this technique is that it allows the system to accommodate more users than conventional SC-FDMA and this corresponds to increasing the spectral efficiency without requiring a higher modulation order or using more bandwidth. During this work, special attentions wee paid to the cases where two and three source signals are being transmitted on the same set of subcarriers, which leads respectively to doubling and tripling the spectral efficiency. Simulation results show that by using the proposed technique, it is possible to add more users to any SC-FDMA system without increasing the bandwidth or the modulation order while keeping the same performance in terms of bit error rate (BER) as the conventional SC-FDMA. This is realized by slightly increasing the energy per bit to noise power spectral density ratio (Eb/N0) at the transmitters.
APA, Harvard, Vancouver, ISO, and other styles
4

Asif, Rameez, Mohammed S. Bin-Melha, Abubakar S. Hussaini, et al. "Performance evaluation of ZF and MMSE equalizers for wavelets V-Blast." 2013. http://hdl.handle.net/10454/9616.

Full text
Abstract:
No<br>In this work we present the work on the equalization algorithms to be used in future orthogonally multiplexed wavelets based multi signaling communication systems. The performance of ZF and MMSE algorithms has been analyzed using SISO and MIMO communication models. The transmitted electromagnetic waves were subjected through Rayleigh multipath fading channel with AWGN. The results showed that the performance of both of the above mentioned algorithms is the same in SISO channel but in MIMO environment MMSE has better performance.
APA, Harvard, Vancouver, ISO, and other styles
5

Asif, Rameez, Abubakar S. Hussaini, Raed A. Abd-Alhameed, et al. "Performance of different wavelet families using DWT and DWPT-channel equalization using ZF and MMSE." 2013. http://hdl.handle.net/10454/9618.

Full text
Abstract:
No<br>We have studied the performance of multidimensional signaling techniques using wavelets based modulation within an orthogonally multiplexed communication system. The discrete wavelets transform and wavelet packet modulation techniques have been studied using Daubechies 2 and 8, Biothogonal1.5 and 3.1 and reverse Biorthognal 1.5 and 3.1 wavelets in the presence of Rayleigh multipath fading channels with AWGN. Results showed that DWT based systems outperform WPM systems both in terms of BER vs. SNR performance as well as processing. The performances of two different equalizations techniques, namely zero forcing (ZF) and minimum mean square error (MMSE), were also compared using DWT. When the channel is modeled using Rayleigh multipath fading, AWGN and ISI both techniques yield similar performance.
APA, Harvard, Vancouver, ISO, and other styles
6

Asif, Rameez, Tahereh S. Ghazaany, Raed A. Abd-Alhameed, et al. "MIMO discrete wavelet transform for the next generation wireless systems." 2013. http://hdl.handle.net/10454/9617.

Full text
Abstract:
No<br>Study is presented into the performance of Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) and MIMO-DWT with transmit beamforming. Feedback loop has been used between the equalizer at the transmitter to the receiver which provided the channel state information which was then used to construct a steering matrix for the transmission sequence such that the received signals at the transmitter can be combined constructively in order to provide a reliable and improved system for next generation wireless systems. As convolution in time domain equals multiplication in frequency domain no such counterpart exist for the symbols in space, means linear convolution and Intersymbol Interference (ISI) generation so both zero forcing (ZF) and minimum mean squared error (MMSE) equalizations have been employed. The results show superior performance improvement and in addition allow keeping the processing, power and implementation cost at the transmitter which has less constraints and the results also show that both equalization algorithms perform alike in wavelets and the ISI is spread equally between different wavelet domains.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Zero Forcing (ZF)"

1

Wang, Haonan, and Ang Li. "Spatial Multiplexing for MIMO/Massive MIMO." In MIMO Communications - Fundamental Theory, Propagation Channels, and Antenna Systems [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112041.

Full text
Abstract:
In this chapter, we will discuss how to achieve spatial multiplexing in multiple-input multiple-output (MIMO) communications through precoding design, for both traditional small-scale MIMO systems and massive MIMO systems. The mathematical description for MIMO communications will first be introduced, based on which we discuss both block-level precoding and the emerging symbol-level precoding techniques. We begin with simple and closed-form block-level precoders such as maximum ratio transmission (MRT), zero-forcing (ZF), and regularized ZF (RZF), followed by the classic symbol-level precoding schemes such as Tomlinson-Harashima precoder (THP) and vector perturbation (VP) precoder. Subsequently, we introduce optimization-based precoding solutions, including power minimization, SINR balancing, symbol-level interference exploitation, etc. We extend our discussion to massive MIMO systems and particularly focus on precoding designs for hardware-efficient massive MIMO systems, such as hybrid analog-digital precoding, low-bit precoding, nonlinearity-aware precoding, etc.
APA, Harvard, Vancouver, ISO, and other styles
2

Xia, Xiang-Gen, Genyuan Wang, and Pingyi Fan. "Space-Time Modulated Codes for MIMO Channels with Memory." In Handbook on Advancements in Smart Antenna Technologies for Wireless Networks. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-988-5.ch007.

Full text
Abstract:
Modulated codes (MC) are error correction codes (ECC) defined on the complex field and therefore can be naturally combined with an intersymbol interference (ISI) channel. It has been previously proved that for any finite tap ISI channel there exist MC with coding gain comparing to the uncoded AWGN channel. In this chapter, we first consider space-time MC for memory channels, such as multiple transmit and receive antenna systems with ISI. Similar to MC for single antenna systems, the space-time MC can be also naturally combined with a multiple antenna system with ISI, which provides the convenience of the study. Some lower bounds on the capacities C and the information rates Ii.i.d of the MC coded systems are presented. We also introduce an MC coded zero-forcing decision feedback equalizer (ZF-DFE) where the channel is assumed known at both the transmitter and the receiver. The optimal MC design based on the ZF-DFE are presented.
APA, Harvard, Vancouver, ISO, and other styles
3

Patra, Trilochan, and Swarup Kumar Mitra. "Performance Evaluation of a Maximum-Likelihood Optimum Receiver." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde231063.

Full text
Abstract:
This paper introduces the sequential intervention cancellation (SIC) detection method which is an encouraging method for increasing the efficacy regarding cellular networks with comparatively small additional complexity. This scheme renders much advantage as well as does not demand the exact orthogonal to be necessitated for time-space block encoding. Contiguous manifolding needs very robust decision process at the receiver. This paper focuses on one to five ordered sequential intervention cancellation (SIC) detection methods. SIC is adopted for diminishing interference. To achieve better performance, 2x2 MIMO and 4x4 MIMO techniques have been adopted in this paper. It uses flat Rayleigh damping of individual transmitter-receiver links for the non-coded BPSK, QPSK, 8PSK, 16PSK and 32PSK modulation systems. The details of ideal medium is determined at the acceptor without feedback to the sender. This paper presents a pair of non-linear intervention cancellation procedures like zero-forcing (ZF) as well as minimum-mean-square-error (MMSE) including symbol rejection and at the same time differentiates the performances with the maximum-likelihood (ML) optimum receiver.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Zero Forcing (ZF)"

1

Mahdi Salih, Layla, Thuraya Mahmood Al-Qaradaghi, and Bzhar Rahman Othman. "Effect of NR-LDPC Codes on the Uplink Massive MIMO." In The 3rd International Conference on Engineering and Innovative Technology. Salahaddin University-Erbil, 2025. https://doi.org/10.31972/iceit2024.052.

Full text
Abstract:
Future wireless communication technologies and the current fifth generation (5G) mobile communication system will need to provide greater coverage, spectral efficiency and reliability with reduced data traffic congestion. However, in wireless communication, reaching these objectives presents difficulties. Therefore, using only massive multiple-input multiple-output (M-MIMO) technology will not be sufficient to meet the continuously increasing demand, guarantee high reliability and avoid data traffic congestion. In this paper, the performance of M-MIMO system concatenated with channel coding using the low-density parity-check codes described in the Third Generation Partnership Project (3GPP) technical specification TS 38.212 is investigated. The performance is evaluated and comparisons are made in terms of bit error rate (BER) as a function of the signal to noise ratio (SNR) for different linear receivers: maximal ratio combiner (MRC), zero-forcing (ZF) and minimum mean square errors (MMSE). In addition, a comparison for the coded and uncoded M-MIMO in the uplink (UL) using these receivers are made. MMSE and ZF showed the best simulation results across all scenarios; however, MRC needed a notably greater number of antenna elements to match their performance.
APA, Harvard, Vancouver, ISO, and other styles
2

Tsai, Feng-Cheng, Fang-Biau Ueng, and Ding-Ching Lin. "Low-Complexity Receiver for Massive MIMO-GFDM Communications." In 7th International Conference on Natural Language Computing (NATL 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112009.

Full text
Abstract:
OFDM has two disadvantages. The first is high peak-to-average power ratio (PAPR), and the second is high out-of-band (OOB) radiated power. In the future communication applications, the diversified scenarios such as Internet of Things, inter-machine communication and telemedicine make the fourth-generation mobile communication no longer applicable. The generalized frequency division multiplexing (GFDM) has a pulse-shaping filter, which has less out-of-band radiated power and peak-to-average power ratio and fewer cyclic prefixes (CP) than OFDM. In order to meet high- data-transmission rate, it is an inevitable trend to install massive multi-input multi-output (massive MIMO) antennas. As the number of antennas increases, so does its complexity. This paper employs time reversal (TR) technology to reduce the computational complexity. Although the number of base station (BS) antennas has increased to eliminate interference, there is still residual interference. In order to eliminate the interference one step further, we deploy a zero forcing equalization (ZF equalization) after the time reversal combination.
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!