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Downlink MU-MIMO With QoS Aware Transmission: precoder design and Performance Analysis

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2019年第2期18卷 969-982页

作者： Yalcin, Ahmet Zahid Yuksel, Melda Bahceci, Israfil TOBB Univ Econ & Technol Dept Elect & Elect Engn TR-06560 Ankara Turkey Ericsson Canada Inc Kanata ON K2K 2V6 Canada

In this paper, a downlink wireless communication channel is considered. The base station (BS) has common data for all users, unicast data for a set of intended users, and transmits the superposition of these messages. This setting neither falls into the non-orthogonal multiple access (NOMA) nor into the multi-group multicasting literatures. In NOMA systems, the BS has unicast data for all users, and multiple users share the same resources. In multi-group multicasting, there are non-overlapping groups, each demanding a different multicast message. This paper studies precoder design to achieve maximum weighted sum rate (WSR). It is first shown that the precoders designed for WSR maximization and weighted minimum mean square error (WMMSE) minimization are equivalent. Second, an iterative low complexity algorithm (named WMMSE), based on WMMSE transmit precoders and receivers, is proposed. Another low-complexity precoder, the phase aligned zero forcing (PAZF) precoder, is also introduced. The results show that both algorithms converge fast. The WMMSE algorithm outperforms both PAZF and the zero-forcing (ZF) precoder for all signal-to-noise ratio ranges. It offers better interference management and high coherent combining gains for common data while PAZF finds the optimal phase rotation on the ZF precoder, and increases coherent combining gains.

关键词： MIMO broadcast channel MU-MIMO multi-group multicast precoder design zero-forcing

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Multiobjective precoder design for Coexisting Wireless Energy Transfer and Information Transmission Systems

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IEEE SYSTEMS JOURNAL 2020年第1期14卷 445-456页

作者： Zhang, Haiyang Huang, Yongming Wang, Jiaheng Wang, Baoyun Yang, Luxi Southeast Univ Sch Informat Sci & Engn Nanjing 210096 Peoples R China Nanjing Univ Posts & Telecommun Coll Commun & Informat Nanjing 210096 Peoples R China

This paper studies the precoder design for coexisting wireless energy transfer (WET) and wireless information transmission (WIT) systems, where WET and WIT share the same spectrum band, and the cochannel interference generated by one system is regarded as useful rather than harmful resource for the other system. Specifically, we address the transmit covariance design from the multiple-objective optimization perspective in order to simultaneously maximize the total harvested energy of energy receivers in WET and the secrecy rate of information receiver in WIT. To deal with the challenging multiple-objective optimization problem (MOOP), we first find the Utopia point of the MOOP. Then, we transform the original MOOP into two different single-objective optimization problems (SOOPs) via the weighted sum and the weighted Tchebycheff approaches, respectively. The two SOOPs are, however, nonconvex and nonsmooth. We further develop two iterative algorithms to tackle them, respectively. For comparison, a distributed transmit covariance design based on the Nash equilibrium is also proposed. Simulation results are finally presented to demonstrate the effectiveness of the proposed designs and illustrate the tradeoff between the total harvested energy and the secrecy rate.

关键词： Coexisting wireless energy transfer and wireless information transmission multiobjective optimization precoder design physical-layer security

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Joint User Scheduling, precoder design, and Transmit Direction Selection in MIMO TDD Small Cell Networks

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2017年第4期16卷 2434-2449页

作者： Lagen, Sandra Agustin, Adrian Vidal, Josep Univ Politecn Cataluna Dept Signal Theory & Commun ES-08034 Barcelona Spain

New short-length single-direction frame structures are proposed for 5G time division duplex (TDD) systems, where the transmit direction [i. e., either downlink (DL) or uplink (UL)] can be independently chosen at each cell in every frame. Accordingly, high flexibility is provided to match the per-cell DL/UL traffic asymmetries and full exploitation of dynamic TDD is allowed. As a downside, interference management becomes crucial. In this regard, this paper proposes a procedure for dynamic TDD in dense multiple-input multiple-output small cell networks, where the transmit direction selected per small cell (SC) is dynamically optimized together with the user scheduling and transmit precoding. We focus on the maximization of a general utility function that takes into account the DL/UL traffic asymmetries of each user and the interference conditions in the network. Although the problem is non-convex, it is decomposed thanks to the interference-cost concept and then efficiently solved in parallel. Simulation results show gains in DL and UL average rates for different traffic asymmetries and SC/user densities as compared to existing dynamic TDD schemes thanks to the proposed joint optimization. The gains become more significant when there is high interference and limited number of antennas.

关键词： Dynamic TDD small cell networks 5G short-length single-direction frame structure MIMO user scheduling precoder design power allocation transmit direction selection

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Iterative Source and Relay precoder design for Non-Regenerative MIMO Cognitive Relay Systems

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IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第10期63卷 3497-3510页

作者： Budhathoki, Krishna Ram Maleki, Mehdi Bahrami, Hamid Reza Univ Akron Dept Elect & Comp Engn Akron OH 44325 USA

The problem of joint precoder design for the source and relay nodes of a cooperative cognitive radio (CR) system is investigated. We consider a non-regenerative relaying secondary CR system with underlay spectrum sharing methodology with the primary users. Based on an expression for the achievable throughput of secondary system, we develop an optimization problem to maximize the throughput subject to power constraints at the secondary source and relay, and an interference power constraint at the primary due to secondary source and relay transmission. First, we derive the structure of each of the relay and source precoding matrices separately assuming the other is known. Then, we propose an iterative technique to jointly design the source and relay precoding matrices. The results are also extended to the case where the direct source-destination link is available. Through simulation, we demonstrate the effectiveness of our proposed approach in improving the achievable throughput, and compare its performance with that of numerical optimization, source only precoding, relay only precoding, and a naive amplify-and-forward method.

关键词： Cognitive radio (CR) multi-input multi-output (MIMO) non-regenerative relaying achievable throughput precoder design

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Joint Source and Relay precoder design in Amplify-and-Forward MIMO Relay Systems with Direct Link

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WIRELESS PERSONAL COMMUNICATIONS 2014年第1期75卷 511-530页

作者： Wang, Nan Chen, Ming Wu, Xia Dai, Jianxin Southeast Univ Natl Mobile Commun Res Lab NCRL Nanjing 210096 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Sch Sci Nanjing 210023 Jiangsu Peoples R China

This paper investigates the precoder design problem in a two-hop amplify-and-forward multiple-input-multiple-output relay system. Many previous works on this problem are based on the minimum mean-square error criterion and the presence of a direct link between the source and the destination is ignored. In this paper, we propose a new method for joint source and relay precoder design based on maximizing the mutual information between the source and the destination, taking both the relay link and the direct link into account. In contrast to previous works, which consider the transmit power constraints of the source and the relay independently, we assume a total power constraint on the sum transmit power of the source and the relay instead to study also the optimal power distribution over the two nodes. A constrained optimization problem with respect to the unknown source precoder matrix and relay precoder matrix is then formulated, which is nonconvex and very difficult to solve directly. We propose a structural constraint on the precoders by analyzing the structure of the problem and referring to related works. With the proposed precoders' structure and by applying the Hadamard's inequality, the original problem is simplified from a matrix-valued problem to a scalar-valued one. However, the new scalar-valued problem is still nonconvex and we manage to convert it into two subproblems and solve it in an iterative fashion. By using the Karash-Kuhn-Tucker (KKT) conditions, we give out the closed-form solutions to the subprobelms. Simulation results demonstrate that the proposed design method converges rapidly and significantly outperforms the existing methods.

关键词： precoder design MIMO relay Mutual information maximization Nonconvex optimization

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Broad Coverage precoder design for 3D Massive MIMO System Synchronization

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IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第7期68卷 4233-4246页

作者： Guo, Weiran Lu, An-An Meng, Xin Gao, Xiqi Xia, Xiang-Gen Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211111 Peoples R China Huawei Technol Co Ltd Shanghai 201206 Peoples R China Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

In this paper, we investigate broad coverage precoder design for 3D massive multi-input multi-output (MIMO) systems, where the base station (BS) is equipped with a uniform rectangular array (URA). We focus on the synchronization performance in the cell coverage. The flat fading channel model is formulated. The synchronization performance can be characterized by the missed detection (MD) probability. By considering the MD probability fairness in the cell, we formulate a criterion for the precoder design. Moreover, we consider the equal transmit power constraint on each antenna to efficiently utilize the power amplifier (PA) capacity of the BS. By using the manifold optimization framework, we design the precoder under the aforementioned criterion and constraint. Simulation results show that the fairness among all the users in this cell can be ensured. Compared with the precoders designed by half power beam-width (HPBW), the proposed scheme causes much less inter-cell interference and has a better synchronization performance.

关键词： Synchronization MIMO communication Transmitting antennas Antenna arrays Precoding Three-dimensional displays Matrix converters Massive MIMO URA synchronization performance precoder design radiation power pattern manifold optimization

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A New Paradigm of precoder design for Finite-Alphabet Inputs Based Communications

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第7期73卷 10829-10834页

作者： Xia, Guiyang Xu, Hao Zhou, Xiaobo Shu, Feng Wang, Jiangzhou Anhui Agr Univ Sch Informat & Artificial Intelligence Hefei 230036 Peoples R China Hainan Univ Sch Informat & Commun Engn Haikou 570228 Peoples R China Univ Kent Sch Engn Canterbury CT2 7NT Kent England

This paper proposes a pair of new linear precoder designs to reduce the high computation complexity in the context of multi-input multi-output communications with finite-alphabet inputs. We initially develop a high-performance mutual information maximization scheme using closed cut-off rate expression, formulating a standard convex optimization problem for iterative precoder optimization. To address the computational challenges associated with a large number of the possible transmit symbol vectors, we leverage the convexity of the exponential function to simplify the objective function. This approach results in an efficient bound that depends only on the maximum and minimum terms. Consequently, the corresponding optimization problem requires only two auxiliary variables to optimize the precoder, significantly reducing the computational complexity. Finally, numerical simulation verifies the efficiency of our proposed mutual information maximization schemes in terms of performance-versus-computation tradeoff.

关键词： Symbols Vectors Optimization Precoding Mutual information Linear programming Convex functions precoder design mutual information finite-alphabet inputs performance-versus-computation tradeoff

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Linear precoder design for SWIPT in MIMO Broadcasting Systems With Discrete Input Signals: Manifold Optimization Approach

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IEEE TRANSACTIONS ON COMMUNICATIONS 2017年第7期65卷 2877-2888页

作者： Lu, An-An Gao, Xiqi Zheng, Yahong Rosa Xiao, Chengshan Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA

In this paper, we investigate the design of linear precoders for simultaneously wireless information and power transfer (SWIPT) in a multi-input multi-output (MIMO) broadcasting system with discrete input signals. The considered system model consists of one base station (BS), one information receiver (IR), and one energy receiver (ER). The design objective is to maximize the input-output mutual information of the IR subject to the power constraint and the harvested energy requirement for the ER. We derive the structure of the optimal linear precoder by using manifold optimization, and propose an algorithm to find the optimal precoder. Simulation results show that the proposed algorithm can achieve better performance than the time sharing scheme and the Gaussian optimal precoder when Gaussian inputs are replaced by discrete input signals.

关键词： Simultaneously wireless information and power transfer (SWIPT) multi-input multi-output (MIMO) precoder design discrete input signals manifold optimization

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Rate Splitting for Multi-Antenna Downlink: precoder design and Practical Implementation

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2020年第8期38卷 1910-1924页

作者： Li, Zheng Ye, Chencheng Cui, Ying Yang, Sheng Shamai, Shlomo Univ Paris Sud CNRS Cent Supelec Lab Signals & Syst F-91192 Gif Sur Yvette France Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China Technion Israel Inst Technol IL-3200003 Haifa Israel

Rate splitting (RS) is a potentially powerful and flexible technique for multi-antenna downlink transmission. In this paper, we address several technical challenges towards its practical implementation for beyond 5G systems. To this end, we focus on a single-cell system with a multi-antenna base station (BS) and K single-antenna receivers. We consider RS in its most general form with 2(K) - 1 streams, and joint decoding to fully exploit the potential of RS. First, we investigate the achievable rates under joint decoding and formulate the precoder design problems to maximize a general utility function, or to minimize the transmit power under pre-defined rate targets. Building upon the concave-convex procedure (CCCP), we propose precoder design algorithms for an arbitrary number of users. Our proposed algorithms approximate the intractable non-convex problems with a number of successively refined convex problems, and provably converge to stationary points of the original problems. Then, to reduce the decoding complexity, we consider the optimization of the precoder and the decoding order under successive decoding. Further, we propose a stream selection algorithm to reduce the number of precoded signals. With a reduced number of streams and successive decoding at the receivers, our proposed algorithm can even be implemented when the number of users is relatively large, whereas the complexity was previously considered as prohibitively high in the same setting. Finally, we propose a simple adaptation of our algorithms to account for the imperfection of the channel state information at the transmitter. Numerical results demonstrate that the general RS scheme provides a substantial performance gain as compared to state-of-the-art linear precoding schemes, especially with a moderately large number of users.

关键词： Decoding Receivers Interference Optimization Approximation algorithms Complexity theory MIMO communication Multi-antenna downlink transmission rate splitting (RS) precoder design stream selection imperfect channel state information at the transmitter's side (CSIT) optimization

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Power Minimization precoder design for Uplink MIMO Systems With Multi-Group NOMA Scheme

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第10期70卷 10553-10569页

作者： Zhang, Rongbin Leung, Shu-Hung Wang, Hong Tang, Weijun Luo, Zhen Shantou Univ Dept Elect & Informat Engn Shantou 515063 Peoples R China City Univ Hong Kong Dept Elect Engn State Key Lab Terahertz & Millimeter Waves Kowloon Tong Hong Kong Peoples R China Nanjing Univ Posts & Telecommun Sch Commun & Informat Engn Nanjing 210003 Peoples R China South China Univ Technol Sch Elect & Informat Engn Guangzhou 510641 Peoples R China Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China

This paper presents a non-orthogonal multiple access (NOMA) scheme with group detection for uplink multiple-input multiple-output (MIMO) systems, for which an effective precoder design is developed. In the scheme, users are divided into groups in accordance with their locations for detection at the base station. The inter- and intra-group interferences are mitigated by successive interference cancellation (SIC) and transceivers, respectively. Based on a derived approximate signal-to-interference-plus-noise ratio (SINR) for using zero-forcing detection, an iterative power and beamforming update procedure is developed for obtaining the user precoders. The precoder design effectively mitigates the intra-group-inter-user correlation making the adopted approximate SINR represent the original SINR accurately. The proposed multi-group MIMO-NOMA scheme can work under more practical transmit-receive antenna configurations and is shown to outperform upon existing cluster-based MIMO-NOMA schemes in terms of total transmit power for various system configurations. The impact of SIC residuals on the multi-group MIMO-NOMA scheme is investigated. Feasibility conditions for the design under imperfect SIC based on the fractional cancellation error model are developed.

关键词： Interference Silicon carbide Uplink NOMA Signal to noise ratio Transceivers MIMO communication MIMO NOMA precoder design multi-group detection imperfect SIC

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