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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Kim, Young-Tae Park, Moonseo Lee, Kyoung-Jae Lee, Inkyu Korea Univ Sch Elect Engn Seoul South Korea

ISBN: (纸本)9781424492688

In this paper, we propose precoding methods for multiple input multiple output physical network coding systems, which employ the modulo operation. In our work, the transmit and receive filters are determined to maximize the minimum distance on the received constellations. Especially, to address non-concavity of the given problems, we change our problem into a concave one which can be optimized by an iterative method. Also, we propose a suboptimal non-iterative scheme whose performance is very close to the optimum iterative method. In our derivations, we prove that the modulo operation achieves the optimality in terms of the minimum distance. Finally, it is confirmed from the simulation results that the proposed systems outperform conventional schemes in terms of the error performance.

关键词： Bit error rate Equations Interference MIMO MIMO communication Network coding Relays Signal to noise ratio iterative methods linear codes linear precoding design minimum distance multiple input multiple output network network coding precoding receive filter suboptimal noniterative scheme transmit filter two-way MIMO physical network coding system

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linear precoding designs for Amplify-and-Forward Multiuser Two-Way Relay Systems

Linear Precoding Designs for Amplify-and-Forward Multiuser T...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Wang, Rui Tao, Meixia Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

ISBN: (纸本)9781424492688

We investigate the linear precoding designs for multiuser two-way relay system (MU-TWRS) where a multi-antenna base-station (BS) communicates with multiple single-antenna mobile stations (MSs) via a multi-antenna relay station (RS). The amplify-and-forward (AF) relay protocol is employed. The design goal is to optimize the precodings at BS, RS or both so as to minimize the total mean-square error (MSE) of the uplink messages while maintaining the individual signal-to-interference-plus-noise ratio (SINR) requirement for each downlink signal. We show that the BS precoding design problem can be converted to a standard second order cone programming (SOCP), while the RS precoding is non-convex for which a local optimal solution is obtained using an iterative algorithm. A joint BS-RS precoding is also obtained by alternating optimization of BS precoding and RS precoding with guaranteed convergence. Numerical results show that RS-precoding is superior to BS-precoding. Furthermore, the joint BS-RS precoding can significantly outperform the two individual precoding schemes. The implementation issues including complexity and feedback overhead are also discussed.

关键词： BS-precoding Downlink Interference Joints Optimization RS-precoding Relays Signal to noise ratio Vectors amplify and forward communication amplify and forward protocol concave programming cone programming interference suppression iterative algorithm iterative methods linear codes linear precoding design mean square error method mean square error methods mobile stations multi-antenna base station multi-antenna relay station multifrequency antennas multiuser channels multiuser two-way relay system nonconvex programming optimization precoding protocols signal to interference plus noise ratio uplink messages

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Precoder design for Multi-Hop Cognitive MIMO Relay Systems With Finite-Alphabet Inputs

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2023年第2期72卷 2231-2245页

作者： Chen, Baojun Zhu, Xiaodong Tu, Xiaodong Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 610054 Peoples R China

This paper investigates the precoder design in a multi-hop multiple-input multiple-output (MIMO) relay system with cognitive radio. We assume that the source node (secondary user) sends data to the destination node (secondary user) by means of multiple relay nodes (secondary users), and that the source and relays simultaneously share the same frequency band with primary users. Unlike previous research, this paper assumes the inputs to be practical finite-alphabet signals, such as phase shift keying (PSK). Our objective is to maximize the mutual information of the overall system by optimizing the precoders at the source and relays under the constraints of the transmit power at each node and the interference power to the primary users. The precoder designs in two channel state information (CSI) cases, where the nodes know the perfect or statistical CSI, are both investigated. The formulated optimization problems are nondeterministic polynomial-time (NP)-hard and nonconvex, so the global optimal solution cannot be found within the polynomial time. However, by exploiting the structures of the optimization problems, we develop a new framework, which combines the iterative rank penalty (IRP) algorithm with the customized Uzawa algorithm, to solve them. Simulation results are provided to verify the efficacy of the proposed precoding algorithms.

关键词： Relays Optimization MIMO communication Spread spectrum communication Interference Symmetric matrices precoding Finite-alphabet inputs linear precoding design cognitive radio multiple-input multiple-output (MIMO) multi-hop relay system

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Modified leakage-based transmit filter designs for multi-user MIMO systems

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PHYSICAL COMMUNICATION 2014年第PartC期13卷 73-87页

作者： Patcharamaneepakorn, Piya Armour, Simon Doufexi, Angela Univ Bristol CCR Bristol BS8 1UB Avon England

This paper proposes two modified definitions of signal-to-leakage-plus-noise ratio (mSLNR) as criteria for linear transmit filter design in Multi-User MIMO systems. The proposed criteria incorporate receiver structures and priority weight matrices into the precoder design, which can effectively exploit unused receive signal spaces, in the case that available eigenmodes are not fully transmitted, and can potentially prioritise users' data streams. Iterative SLNR (iSLNR) precoding algorithms based on the proposed mSLNR definitions are also presented. Further, the variations of the iSLNR algorithms are thoroughly studied. In particular, the impact of the mSLNR definitions, choices of receive filters and iteration types on the convergence property and sum-rate performance is discussed. Moreover, the effect of weight matrices on users' prioritisation is elaborated. For extreme weight values, the proposed algorithms are shown to converge to either eigenbeamforming or null-space decomposition techniques. Further, a robust design of the proposed schemes for the case of imperfect channel state information (CSI) is presented. It is shown that adequate knowledge of effective receive subspaces can be attained by simply assuming matched filters (MF) in the iterative precoding process, while further improvement can be obtained by an actual implementation of interference-mitigation-capable receivers. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Multiuser MIMO linear precoding design Signal-to-leakage-plus-noise ratio (SLNR) Modified SLNR

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