Relevant bibliographies by topics / MU precoding

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  2. Dissertations / Theses
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Academic literature on the topic 'MU precoding'

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Published: 25 May 2024

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Journal articles on the topic "MU precoding"

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Ibrahim, Sarmad Khaleel, and Saif A. Abdulhussien. "Performance evaluation of precoding system for massive multiple-input multiple-output." Bulletin of Electrical Engineering and Informatics 11, no. 4 (August 1, 2022): 2054–61. http://dx.doi.org/10.11591/eei.v11i4.3877.

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Low latency, high data speeds, and a higher degree of perceived service quality for consumers and base station capacity are only some of the advantages of fifth generation (5G) mobile communications. This paper focuses on the design of a precoding system for downlink transmission of multi-user multiple-input multiple-output (MU-MIMO). For MU-MIMO systems, the traditional precoding techniques investigated are difficult since the transmitter precoding matrices created by singular value decomposition (SVD) are calculated twice. This paper implements different techniques of precoding with channel coding. Two advanced precoding, zero forcing (ZF) and maximum ratio transmitter (MRT) systems will be evaluated to find the best between them. Three different coding channels (turbo, low-density parity-check (LDPC), and polar) are used in this paper. The results indicate that the ZF-MU-MIMO with turbo coding outperforms MRT precoding, and more spatial diversity gain may be gained, in terms of throughput, number of users supported, and lower error rate in downlink and uplink massive MIMO.
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He, Yujiao, Jianing Zhao, Lijuan Tao, Fuyu Hou, and Wei Jia. "Improved Port Modulation for Multiuser Massive MIMO Systems." International Journal of Interdisciplinary Telecommunications and Networking 7, no. 4 (October 2015): 15–25. http://dx.doi.org/10.4018/ijitn.2015100102.

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This paper proposes an improved port modulation (PM) method which can be applied to the multiuser (MU) massive multiple-input multiple-output (MIMO) system. The precoding process of the improved PM can be divided into two parts: port precoding and MU precoding. The methods of the precoding and detection are provided and the performance of the proposed improved PM is simulated and analyzed. Simulation results show that the proposed improved PM system can achieve a satisfying bit error rate (BER) performance with a cutdown channel state information (CSI) feedback.
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Liang, Rui, Hui Li, Yingli Dong, and Guodong Xue. "Efficient Constant Envelope Precoding for Massive MU-MIMO Downlink via Majorization-Minimization Method." Entropy 26, no. 4 (April 21, 2024): 349. http://dx.doi.org/10.3390/e26040349.

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The practical implementation of massive multi-user multi-input–multi-output (MU-MIMO) downlink communication systems power amplifiers that are energy efficient; otherwise, the power consumption of the base station (BS) will be prohibitive. Constant envelope (CE) precoding is gaining increasing interest for its capability to utilize low-cost, high-efficiency nonlinear radio frequency amplifiers. Our work focuses on the topic of CE precoding in massive MU-MIMO systems and presents an efficient CE precoding algorithm. This algorithm uses an alternating minimization (AltMin) framework to optimize the CE precoded signal and precoding factor, aiming to minimize the difference between the received signal and the transmit symbol. For the optimization of the CE precoded signal, we provide a powerful approach that integrates the majorization-minimization (MM) method and the fast iterative shrinkage-thresholding (FISTA) method. This algorithm combines the characteristics of the massive MU-MIMO channel with the second-order Taylor expansion to construct the surrogate function in the MM method, in which minimizing this surrogate function is the worst-case of the system. Specifically, we expand the suggested CE precoding algorithm to involve the discrete constant envelope (DCE) precoding case. In addition, we thoroughly examine the exact property, convergence, and computational complexity of the proposed algorithm. Simulation results demonstrate that the proposed CE precoding algorithm can achievean uncoded biterror rate (BER) performance gain of roughly 1dB compared to the existing CE precoding algorithm and has an acceptable computational complexity. This performance advantage also exists when it comes to DCE precoding.
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FANG, Shu, Li-hua LI, and Ping ZHANG. "Grassmannian precoding MU-MIMO scheme." Journal of China Universities of Posts and Telecommunications 15, no. 3 (September 2008): 105–17. http://dx.doi.org/10.1016/s1005-8885(08)60116-8.

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Lukic, Djordje B., Goran B. Markovic, and Dejan D. Drajic. "Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems." Wireless Communications and Mobile Computing 2021 (January 7, 2021): 1–13. http://dx.doi.org/10.1155/2021/8887445.

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Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear precoding schemes show better performance, but their complexity is prohibitively high for a real-time implementation. Two-stage precoding schemes, proposed in the standardization process for 5G new radio (5G NR), combine these two approaches and present a reasonable trade-off between computational complexity and performance degradation. Before applying the precoding procedure, users should be properly allocated into beamforming subgroups. Yet, the optimal solution for user selection problem requires an exhaustive search which is infeasible in practical scenarios. Suboptimal user grouping approaches have been mostly focused on capacity maximization through greedy user selection. Recently, overlapping user grouping concept was introduced. It ensures that each user is scheduled in at least one beamforming subgroup. To the best of our knowledge, the existing two-stage precoding schemes proposed in literature have not considered overlapping user grouping strategy that solves user selection, ordering, and coverage problem simultaneously. In this paper, we present a two-stage precoding technique for MU-MIMO based on the overlapping user grouping approach and assess its computational complexity and performance in IoT-oriented 5G environment. The proposed solution deploys two-stage precoding in which linear zero forcing (ZF) precoding suppresses interference between the beamforming subgroups and nonlinear Tomlinson-Harashima precoding (THP) mitigates interuser interference within subgroups. The overlapping user grouping approach enables additional capacity improvement, while ZF-THP precoding attains balance between the capacity gains and suffered computational complexity. The proposed algorithm achieves up to 45% higher MU-MIMO system capacity with lower complexity order in comparison with two-stage precoding schemes based on legacy user grouping strategies.
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Lukic, Djordje B., Goran B. Markovic, and Dejan D. Drajic. "Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems." Wireless Communications and Mobile Computing 2021 (January 7, 2021): 1–13. http://dx.doi.org/10.1155/2021/8887445.

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Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear precoding schemes show better performance, but their complexity is prohibitively high for a real-time implementation. Two-stage precoding schemes, proposed in the standardization process for 5G new radio (5G NR), combine these two approaches and present a reasonable trade-off between computational complexity and performance degradation. Before applying the precoding procedure, users should be properly allocated into beamforming subgroups. Yet, the optimal solution for user selection problem requires an exhaustive search which is infeasible in practical scenarios. Suboptimal user grouping approaches have been mostly focused on capacity maximization through greedy user selection. Recently, overlapping user grouping concept was introduced. It ensures that each user is scheduled in at least one beamforming subgroup. To the best of our knowledge, the existing two-stage precoding schemes proposed in literature have not considered overlapping user grouping strategy that solves user selection, ordering, and coverage problem simultaneously. In this paper, we present a two-stage precoding technique for MU-MIMO based on the overlapping user grouping approach and assess its computational complexity and performance in IoT-oriented 5G environment. The proposed solution deploys two-stage precoding in which linear zero forcing (ZF) precoding suppresses interference between the beamforming subgroups and nonlinear Tomlinson-Harashima precoding (THP) mitigates interuser interference within subgroups. The overlapping user grouping approach enables additional capacity improvement, while ZF-THP precoding attains balance between the capacity gains and suffered computational complexity. The proposed algorithm achieves up to 45% higher MU-MIMO system capacity with lower complexity order in comparison with two-stage precoding schemes based on legacy user grouping strategies.
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Trifan, Razvan-Florentin, Andrei-Alexandru Enescu, and Constantin Paleologu. "Hybrid MU-MIMO Precoding Based on K-Means User Clustering." Algorithms 12, no. 7 (July 23, 2019): 146. http://dx.doi.org/10.3390/a12070146.

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Multi-User (MU) Multiple-Input-Multiple-Output (MIMO) systems have been extensively investigated over the last few years from both theoretical and practical perspectives. The low complexity Linear Precoding (LP) schemes for MU-MIMO are already deployed in Long-Term Evolution (LTE) networks; however, they do not work well for users with strongly-correlated channels. Alternatives to those schemes, like Non-Linear Precoding (NLP), and hybrid precoding schemes were proposed in the standardization phase for the Third-Generation Partnership Project (3GPP) 5G New Radio (NR). NLP schemes have better performance, but their complexity is prohibitively high. Hybrid schemes, which combine LP schemes to serve users with separable channels and NLP schemes for users with strongly-correlated channels, can help reduce the computational burden, while limiting the performance degradation. Finding the optimum set of users that can be co-scheduled through LP schemes could require an exhaustive search and, thus, may not be affordable for practical systems. The purpose of this paper is to present a new semi-orthogonal user selection algorithm based on the statistical K-means clustering and to assess its performance in MU-MIMO systems employing hybrid precoding schemes.
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Son, Vu Van, Nguyen Le Cuong, Nguyen Thu Phuong, Tran Manh Hoang, and Pham Thanh Hiep. "Approximation of Capacity for Downlink Multi-User System with Combination of Precoding and NOMA Methods." Applied Sciences 11, no. 22 (November 10, 2021): 10578. http://dx.doi.org/10.3390/app112210578.

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Enhancing performance of downlink MU systems is an attractive and important research for future wireless systems. The non-orthogonal multiple access (NOMA) method was proposed to improve the performance of MU systems. In order to further improve the outage probability (OP) and ergodic capacity (EC) of downlink NOMA MU systems, we propose the combination of precoding and NOMA methods, and then the OP and EC of MU systems with our novel method are derived in scenarios of perfect and imperfect successive interference cancellation (SIC) scheme. Moreover, the closed-form expression of OP and EC for both scenarios is theoretically derived and compared with Monte Carlo simulations. The results show that, the analysis method is accurate, and the proposed combining precoding and NOMA can further enhance the performance of MU systems in comparing with the original orthogonal multiple access method.
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Shaheen, Imad, Abdelhalim Zekry, Fatma Newagy, and Reem Ibrahim. "PAPR reduction for FBMC/OQAM using hybrid scheme of different Precoding transform and mu-law companding." International Journal of Engineering & Technology 6, no. 4 (November 14, 2017): 154. http://dx.doi.org/10.14419/ijet.v6i4.8326.

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The filter banks multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) is developing multicarrier modulation technique used in the next wireless communication system (5G). FBMC/OQAM supports high data rate and high band width efficiency. However, one of the major drawbacks of FBMC system is high peak to Average Power Ratio (PAPR) of the transmitted signal, which causes serious degradation in performance of the system. Therefore, it is required to use a proper PAPR scheme at the transmitter to reduce the PAPR. In this paper, a hybrid scheme is investigated with the combination of preceding transform technique and Mu Law Companding technique to reduce PAPR in FBMC systems. Moreover, four preceding techniques are examined to find the best Precoding technique which can be used with Mu law commanding. We assessed the discrete Hartley transform (DHT). The discrete cosine transformed (DCT), the Discrete Sine Transform (DST), and the Walsh Hadamard transforms (WHT) which are applied separately with Mu Companding. The numerical results verify that the FBMC systems with all Precoding technique combined with Mu law commanding can improve PAPR performance of the signals greatly with the best results achieved when the combination scheme consists of the DST Precoding and Mu law commanding for both PAPR and BER performance.
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De Luna Ducoing, J. C., Yiping Qin, Yun Xue, and Konstantinos Nikitopoulos. "Gyre Precoding for MU-MIMO Systems." IEEE Communications Letters 25, no. 8 (August 2021): 2723–27. http://dx.doi.org/10.1109/lcomm.2021.3082808.

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Dissertations / Theses on the topic "MU precoding"

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Pakdeejit, Eakkamol. "Linear Precoding Performance of Massive MU-MIMO downlink System." Thesis, Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94225.

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Nowadays, multiuser Multiple-In Multiple-Out systems (MU-MIMO) are used in a new generation wireless technologies. Due to that wireless technology improvement is ongoing, the numbers of users and applications increase rapidly. Then, wireless communications need the high data rate and link reliability at the same time. Therefore, MU-MIMO improvements have to consider 1) providing the high data rate and link reliability, 2) support all users in the same time and frequency resource, and 3) using low power consumption. In practice, the interuser interference has a strong impact when more users access to the wireless link. Complicated transmission techniques such as interference cancellation should be used to maintain a given desired quality of service. Due to these problems, MU-MIMO with very large antenna arrays (known as massive MIMO) are proposed. With a massive MU-MIMO system, we mean a hundred of antennas or more serving tens of users. The channel vectors are nearly orthogonal, and then the interuser interference is reduced significantly. Therefore, the users can be served with high data rate simultaneously. In this thesis, we focus on the performance of the massive MU-MIMO downlink where the base station uses linear precoding techniques to serve many users over Rayleigh and Nakagami-m fading channels.
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Kibria, Mirza Golam. "Radio Resource Allocation Optimization for Cellular Wireless Networks." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/189689.

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Cheng, Xinying. "Study and mitigation techniques of RF impairments for beyond 5G multi-carrier waveforms." Electronic Thesis or Diss., Sorbonne université, 2021. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2021SORUS181.pdf.

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La recherche fondamentale vers les réseaux cellulaires au-delà de la 5G est en cours et la vision de 2020 et au-delà comprend un nombre important de cas d'utilisation comptenu d'un grand nombre d'appareils avec un large éventail de caractéristiques et de demandes. D'une part, la bonne efficacité spectrale donne plus de capacité pour la transmission tandis que d'autre part, la construction d'équipements radio compacts et peu coûteux, flexibles et de haute qualité est une tâche très difficile. Le contexte des travaux de cette thèse est l'étude des techniques de type massive MIMO en présence d'imperfections RF, notamment celles apportées par les amplificateurs de puissance (PA) non linéaires (NL). Le nombre important de PA dans une station de base de type massive-MIMO crée différentes contraintes et les résultat de ces contraintes entraine fortes dégradation des signaux émis tant dans la bande que hors bande. D'autre part, la normalisation 5G a introduit le concept de différentes numérologies conjointement à la technique massive MIMO. L'influence des différentes numérologies utilisées par les différents utilisateurs sera aussi étudiée dans cette thèse
Fundamental research towards beyond 5G cellular networks is ongoing and the vision of 2020 and beyond includes a significant amount use cases considering a massive number of devices with a wide range of characteristics and demands. On the one hand, the good spectral efficiency gives more capacity for the transmission while on the other hand, building compact and low-cost flexible and high-quality radio equipment is a very challenging task. The context of this thesis is the study of massive MIMO techniques with the presence of radio frequency (RF) imperfections, in particular, the non-linear (NL) power amplifiers (PA). The large number of PAs equipped in the base station (BS) creates various constraints which lead to strong degradation of the transmission quality both in the band and out of band. On the other hand, 5G standardization introduced the concept of different numerologies together with the massive MIMO technique. The influence of the different numerologies used by the different users will also be studied in this thesis
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Lin, Chih-Hsien, and 林致賢. "Design of MU-MIMO Precoding Algorithm and Essential Module." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/07852485954829541858.

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碩士
國立中央大學
電機工程研究所
100
In future services of digital home, transmission of high-quality audio and video data to multiple users is a necessity. Multi-user MIMO precoding schemes that utilize the feedback of the channel state information to reduce either the receiver complexity or to enhance the system performance become attractive. Thus, consumers can have the benefits of low cost, small area, low power but high quality in the receiver. Due to the fact that the next-generation wireless systems such as 802.11ac, WiMax, and 3GPP LTE-Advanced all support 8×8 MIMO configuration, we aim to offer the design, in algorithm and architecture, for 8 antennas. In this thesis, we propose a reduced-complexity multi-user MIMO precoding algorithm including sorted-QR decomposition, block-based power allocation, and THP algorithm. The proposed scheme outperforms other MU-MIMO precoding schemes when the system supposts more users. The sorted QRD and proposed power allocation are effective to improve the BER performance. In addition, our proposed power allocation further reduces complexity and has only slight BER degradation. Finally, the THP algorithm is adopted to cancel the interference in advance at transmitter. As to the hardware implementation, we propose a scalable design of high throughput 8×8 Sorted QRD. It can compute three sets of 4×4 Sorted QRD simultaneously. Various numbers of sorting layers are supported. The Givens Rotation algorithm of the QRD is adopted for its merit in pipelining with the CORDIC operation. Finally, a hardware-efficient design with good AT product is shown.
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Tsungwei, Cho, and 卓宗緯. "SLNR Based Tomlinson-Harashima Precoding Techniques For MU-MIMO Communications Systems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/25865049868233222952.

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碩士
國立中正大學
通訊工程研究所
100
Multi-user multiple-input-multiple-out (MU-MIMO) downlink communications have drawn great research attention recently due to its capability of providing high data-rate high reliability services. In order to effectively suppress the co-channel interference (CCI) among the mobile users, the leakage-based precoding has been proposed. The leakage-based precoding decouples the MU-MIMO system into multiple parallel single-user system and allows for closed-form solution, and therefore has relatively low computational complexity. In this paper, we investigate a number of new leakage-based precoding design problems. In our first proposed scheme, the design allows parallel encoding for all spatial streams in the Tomlinson-Harashima precoding within the same user and hence has the advantage of very low precoding latency. In our second scheme, we combine the technique of geometric-mean-decomposition (GMD) with leakage-based precoding and then compare with the existing block-diagonal geometric-mean-decomposition (BD-GMD). In the third scheme, we introduce the lattice reduction technique to leakage-based precoding, and show great computational savings in the lattice-reduction procedure. The proposed designs have been verified and compared through extensive numerical simulations.
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Tse-WeiHuang and 黃則惟. "A Scalable Precoding Scheme based on Grassmannian Codebook for MU-MIMO." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/kw5x4k.

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碩士
國立成功大學
電腦與通信工程研究所
105
This thesis presents a precoding scheme based on Grassmannian codebook with low feedback rate in MU-MIMO systems. For a spatial-multiplexing system, the codebook-based precoding is attractive for its low feedback rate requirement. In this context, the codebook design based on Grassmannian line packing has been proposed for multi-user MIMO systems. However, Grassmannian codebook requires to operate at sufficiently high signal-to-noise ratio (SNR) and spatially uncorrelated channels. To address the aforementioned issues, the solution proposed in this work consists of two parts. To reduce the feedback rate requirement for MU-MIMO precoding, the channel state information (CSI) is quantized. However, the BER tends to be saturated in high SNR region due to quantization noise. And also when the channel independence is corrupted, companding is used in Grassmannian codebook precoding to make BER lower. On the other hand, searching the optimal codeword in the multi-user scenario incurs high computational complexity. To remedy the difficulty, a low-complexity and efficient searching method is proposed based on genetic algorithm (GA). Simulation results are presented to demonstrate the efficacy of the proposed precoding method for MU-MIMO systems.
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Xiao, Zh-Hong, and 蕭智鴻. "Optimal Linear Precoding for Full-Duplex Wireless MU-MIMO Networks with Sequential Training." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/54vk27.

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碩士
國立交通大學
電信工程研究所
105
In this thesis, we propose an optimization framework for designing optimal precoding matrices in full-duplex wireless multiuser multi-input-multi-output (MU-MIMO) networks. We study both the sequential training phase and the data transmission phase. In the sequential training phase, to take advantage of the full-duplex capability, the base station (BS) concurrently performs channel estimation and data transmission. In the data transmission phase, to benefit from recent progresses in all-digital self-interference cancellation, we formulate an optimization problem to obtain optimal precoding matrices based on channel state information. Simulation results show that the proposed approach could significantly improve the performance of wireless MU-MIMO networks, especially when the residual self-interference is small.
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Chen, Chun An, and 陳俊安. "Design and Implementation of Generalized Eigenvalue Decomposition Processor for Leakage-based Precoding in MU-MIMO Systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/82827565258079226456.

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碩士
國立清華大學
通訊工程研究所
104
The high data rate and the quality of transmission is attached great importance in recent years.Though the multiple-input-multiple-output (MIMO) system can achieve these requirement, the new MIMO technology called generalized spatial modulation MIMO (GSM-MIMO) that has additional consideration about power consumption.This thesis proposes a hardware design of CECML-OB-MMSE detector \cite{CECML} called parallel 4 shared index processing with joint QR-SIC in GSM-MIMO system.At the index selection, the new algorithm uses shared index method instead of memory access to reduce hardware resource and computational complexity.And the parallel technology trades off the hardware latency and area.At the symbol detection, we use joint QR-SIC detector \cite{JQRSIC} instead of MMSE detector to avoid matrix inverse and decrease hardware latency.After using error correction code (ECC), the BER performance of this algorithm is close to maximum likelihood (ML).The hardware architecture is designed and verificated by FPGA. The analysis of hareware area, hareware timing and hareware power are presented as well.
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Lee, Ling, and 李. 凌. "Design and Implementation of Modified Generalized Eigenvalue Decomposition Processor based on Square-Root Algorithm for Leakage-based Precoding in MU-MIMO Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/fe23hm.

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碩士
國立清華大學
通訊工程研究所
104
In order to improve the speed and reliability in current wireless communication system, multiuser MIMO (MU-MIMO) has become a popular research topic. For suppressing co-channel interference, it is necessary to design a precoding scheme for MU-MIMO downlink communication system. Leakage-based precoding scheme is a popular scheme for MU-MIMO communication system because of good performance. By adopting leakage-based precoding scheme, generalized eigenvalue decomposition (GEVD) is not only an inevitable process but also a complicated operation to calculate the precoder. Therefore, a GEVD hardware algorithm is proposed for decreasing computational time in this thesis. Compared to the conventional GEVD algorithm, the proposed algorithm has the less number of multiplications and shorter latency according to the theoretical analysis and practical implementation. The architecture of the proposed algorithm is presented in the following content. The proposed algorithm is implemented and verified by FPGA. The synthesis results in terms of FPGA and TSMC 90nm/40nm are shown. In the end of thesis, the architecture of the proposed algorithm is implemented as chip with TSMC 40nm and the specifications of the chip are presented.
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Ubaidulla, P. "Robust Precoder And Transceiver Optimization In Multiuser Multi-Antenna Systems." Thesis, 2010. https://etd.iisc.ac.in/handle/2005/2261.

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The research reported in this thesis is concerned with robust precoder and transceiver optimization in multiuser multi-antenna wireless communication systems in the presence of imperfect channel state information(CSI). Precoding at the transmit side, which utilizes the CSI, can improve the system performance and simplify the receiver design. Transmit precoding is essential for inter-user interference cancellation in multiuser downlink where users do not cooperate. Linear and non-linear precoding have been widely investigated as low-complexity alternatives to dirty paper coding-based transmission scheme for multiuser multiple-input multiple-output(MU-MIMO)downlink. Similarly, in relay-assisted networks, precoding at the relay nodes have been shown to improve performance. The precoder and joint precoder/receive filter (transceiver) designs usually assume perfect knowledge of the CSI. In practical systems, however, the CSI will be imperfect due to estimation errors, feedback errors and feedback delays. Such imperfections in CSI will lead to deterioration of performance of the precoders/transceivers designed assuming perfect CSI. In such situations, designs which are robust to CSI errors are crucial to realize the potential of multiuser multi-antenna systems in practice. This thesis focuses on the robust designs of precoders and transceivers for MU-MIMO downlink, and for non-regenerative relay networks in the presence of errors in the CSI. We consider a norm-bounded error(NBE) model, and a stochastic error(SE) model for the CSI errors. These models are suitable for commonly encountered errors, and they allow mathematically and computationally tractable formulations for the robust designs. We adopt a statistically robust design in the case of stochastic error, and a minimax or worst-case robust design in the case of norm-bounded error. We have considered the robust precoder and transceiver designs under different performance criteria based on transmit power and quality-of-service(QoS) constraints. The work reported in this thesis can be grouped into three parts, namely,i ) robust linear pre-coder and transceiver designs for multiuser downlink, ii)robust non-linear precoder and transceiver designs for multiuser downlink, and iii)robust precoder designs for non-regenerative relay networks. Linear precoding: In this part, first, a robust precoder for multiuser multiple-input single-output(MU-MISO)downlink that minimizes the total base station(BS)transmit power with constraints on signal-to-interference-plus-noise ratio(SINR) at the user terminals is considered. We show that this problem can be reformulated as a second order cone program(SOCP) with the same order of computational complexity as that of the non-robust precoder design. Next, a robust design of linear transceiver for MU-MIMO downlink is developed. This design is based on the minimization of sum mean square error(SMSE) with a constraint on the total BS transmit power, and assumes that the error in the CSI at the transmitter(CSIT) follows the stochastic error model. For this design, an iterative algorithm based on the associated Karush-Kuhn-Tucker(KKT) conditions is proposed. Our numerical results demonstrate the robust performance of the propose designs. Non-linear precoding: In this part, we consider robust designs of Tomlinson-Harashima precoders(THP) for MU-MISO and MU-MIMO downlinks with different performance criteria and CSI error models. For MU-MISO systems with imperfect CSIT, we investigate the problem of designing robust THPs under MSE and total BS transmit power constraints. The first design is based on the minimization of total BS transmit power under constraints on the MSE at the individual user receivers. We present an iterative procedure to solve this problem, where each iteration involves the solution of a pair of convex optimization problems. The second design is based on the minimization of a stochastic function of the SMSE under a constraint on the total BS transmit power. We solve this problem efficiently by the method of alternating optimization. For MU-MIMO downlink, we propose robust THP transceiver designs that jointly optimize the TH precoder and receiver filters. We consider these transceiver designs under stochastic and norm-bounded error models for CSIT. For the SE model, we propose a minimum SMSE transceiver design. For the NBE model, we propose three robust designs, namely, minimum SMSE design, MSE-constrained design, and MSE-balancing design. Our proposed solutions to these robust design problems are based on iteratively solving a pair of sub-problems, one of which can be solved analytically, and the other can be formulated as a convex optimization problem that can be solved efficiently. Robust precoder designs for non-regenerative relay networks: In this part, we consider robust designs for two scenarios in the case of relay-assisted networks. First, we consider a non-regenerative relay network with a source-destination node pair assisted by multiple relay nodes, where each node is equipped with a single antenna. The set of the cooperating relay nodes can be considered as a distributed antenna array. For this scenario, we present a robust distributed beam former design that minimizes the total relay transmit power with a constraint on the SNR at the destination node. We show that this robust design problem can be reformulated as a semi-definite program (SDP)that can be solved efficiently. Next, we consider a non-regenerative relay network, where a set of source-destination node pairs are assisted by a MIMO-relay node, which is equipped with multiple transmit and multiple receive antennas. For this case, we consider robust designs in the presence of stochastic and norm-bounded CSI errors. We show that these problems can be reformulated as convex optimization problems. In the case of norm-bounded error, we use an approximate expression for the MSE in order to obtain a tractable solution.
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Book chapters on the topic "MU precoding"

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Fu, Hongliang, Beibei Zhang, Huawei Tao, Yong Tao, and Zheng Luo. "Codebook Perturbation Based Limited Feedback Precoding MU-MIMO System." In Advances in Intelligent and Soft Computing, 165–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30126-1_27.

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Zhang, Yanqiu, Shu Fang, Yuanchao Han, and Yu Zeng. "D2D Assisted MU-MIMO Precoding to Enhance LTE Network." In Communications and Networking, 512–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78130-3_53.

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Zhang, Wei, Wenjie Wo, and Jingjing Duan. "A Precoding Scheme Based on SLNR for Downlink MU-MIMO Systems." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 448–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73317-3_51.

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Priya, S. B. M., and P. Kumar. "Principal Component Analysis-Based Block Diagonalization Precoding Algorithm for MU-MIMO System." In System and Architecture, 53–61. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8533-8_6.

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Wang, Dehao, Le Yang, Xupeng Li, Qian Wang, Feng Zhang, and Dingyuan Shi. "A Precoding Algorithm Based on Weighted MMSE for MmWave MU-MIMO System with Discrete Lens Array." In Lecture Notes in Electrical Engineering, 36–43. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1260-5_5.

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Saeid, Elsadig, Varun Jeoti, and Brahim Belhaouari Samir. "Precoding for Multiuser MIMO." In Developments in Wireless Network Prototyping, Design, and Deployment, 130–56. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1797-1.ch007.

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Abstract:
Future Wireless Networks are expected to adopt multi-user multiple input multiple output (MU-MIMO) systems whose performance is maximized by making use of precoding at the transmitter. This chapter describes the recent advances in precoding design for MU-MIMO and introduces a new technique to improve the precoder performance. Without claiming to be comprehensive, the chapter gives deep introduction on basic MIMO techniques covering the basics of single user multiple input multiple output (SU-MIMO) links, its capacity, various transmission strategies, SU-MIMO link precoding, and MIMO receiver structures. After the introduction, MU-MIMO system model is defined and maximum achievable rate regions for both MU-MIMO broadcast and MU-MIMO multiple access channels are explained. It is followed by critical literature review on linear precoding design for MU-MIMO broadcast channel. This paves the way for introducing an improved technique of precoding design that is followed by its performance evaluation.
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Saeid, Elsadig, Varun Jeoti, and Brahim B. "On MU-MIMO Precoding Techniques for WiMAX." In Selected Topics in WiMAX. InTech, 2013. http://dx.doi.org/10.5772/56034.

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Conference papers on the topic "MU precoding"

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Lyu, Taek Keun, and Xin Wang. "Capacity of precoding for MU-MIMO systems." In 2015 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2015. http://dx.doi.org/10.1109/ictc.2015.7354573.

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Yang Shi, Xian-Zhong Xie, and Xi Wang. "A Grouped Precoding in MU-MIMO Downlink." In 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications (ISSSTA). IEEE, 2008. http://dx.doi.org/10.1109/isssta.2008.136.

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Marshoud, Hanaa, Diana Dawoud, Vasileios M. Kapinas, George K. Karagiannidis, Sami Muhaidat, and Bayan Sharif. "MU-MIMO precoding for VLC with imperfect CSI." In 2015 4th International Workshop on Optical Wireless Communications (IWOW). IEEE, 2015. http://dx.doi.org/10.1109/iwow.2015.7342273.

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Trifan, Razvan-Florentin, Regis Lerbour, Gregory Donnard, and Yann Le Helloco. "K-Means MU-MIMO User Clustering for Optimized Precoding Performance." In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019. http://dx.doi.org/10.1109/vtcspring.2019.8746389.

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Angeline Beulah, V., and S. Markkandan. "Performance analysis of precoding techniques for Massive MU-MIMO systems." In 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE, 2015. http://dx.doi.org/10.1109/iciiecs.2015.7192863.

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Yingqi Chai, Qinghe Du, and Pinyi Ren. "Precoding for MU-MIMO system in low scattering channel environments." In 2013 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2013. http://dx.doi.org/10.1109/wcsp.2013.6677030.

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Sifaou, Houssem, Abla Kammoun, Ki-Hong Park, and Mohamed-Slim Alouini. "Robust precoding design for indoor MU-MISO visible light communication." In 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2018. http://dx.doi.org/10.1109/wcnc.2018.8376958.

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Liu, Rang, Hongyu Li, Ming Li, and Qian Liu. "Symbol-Level Precoding Design for IRS-assisted MU-MISO Systems." In 2020 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2020. http://dx.doi.org/10.1109/wcnc45663.2020.9120710.

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Balatsoukas-Stimming, Alexios, Oscar Castaneda, Sven Jacobsson, Giuseppe Durisi, and Christoph Studer. "Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO." In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2019. http://dx.doi.org/10.1109/spawc.2019.8815519.

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Mingguang Xu and Dong Lin. "Non-orthogonal precoding matrix design for MU-MIMO downlink channels." In IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE, 2006. http://dx.doi.org/10.1109/wcnc.2006.1696476.

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