Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems

In this paper, we consider multiaccess communication through multi-hop linear non-regenerative relays, where all users, all relay nodes, and the destination node may have multiple antennas. We design the user, relay, and destination matrices that jointly minimize the mean-squared error (MSE) of the...

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Main Author: Rong, Yue
Other Authors: Baoyu Zheng
Format: Conference Paper
Published: IEEE 2011
Online Access:http://hdl.handle.net/20.500.11937/23747
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author Rong, Yue
author2 Baoyu Zheng
author_facet Baoyu Zheng
Rong, Yue
author_sort Rong, Yue
building Curtin Institutional Repository
collection Online Access
description In this paper, we consider multiaccess communication through multi-hop linear non-regenerative relays, where all users, all relay nodes, and the destination node may have multiple antennas. We design the user, relay, and destination matrices that jointly minimize the mean-squared error (MSE) of the signal waveform estimation. It is shown that the optimal amplifying matrix at each relay node can be viewed as a linear minimal MSE filter concatenated with another linear filter. As a consequence, the MSE matrix of the signal waveform estimation at the destination node is decomposed into the sum of the MSE matrices at all relay nodes. We show that at a high signal-to-noise ratio (SNR) environment, this MSE matrix decomposition significantly simplifies the solution to the problem of optimizing the user andrelay matrices. Simulation results show that even at the low to medium SNR range, the simplified optimization algorithms have only a marginal performance degradation but a greatly reduced computational complexity and signalling overhead compared with the existing optimal iterative algorithm, and thus are of great interest for practical relay systems.
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spelling curtin-20.500.11937-237472018-03-29T09:06:48Z Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems Rong, Yue Baoyu Zheng In this paper, we consider multiaccess communication through multi-hop linear non-regenerative relays, where all users, all relay nodes, and the destination node may have multiple antennas. We design the user, relay, and destination matrices that jointly minimize the mean-squared error (MSE) of the signal waveform estimation. It is shown that the optimal amplifying matrix at each relay node can be viewed as a linear minimal MSE filter concatenated with another linear filter. As a consequence, the MSE matrix of the signal waveform estimation at the destination node is decomposed into the sum of the MSE matrices at all relay nodes. We show that at a high signal-to-noise ratio (SNR) environment, this MSE matrix decomposition significantly simplifies the solution to the problem of optimizing the user andrelay matrices. Simulation results show that even at the low to medium SNR range, the simplified optimization algorithms have only a marginal performance degradation but a greatly reduced computational complexity and signalling overhead compared with the existing optimal iterative algorithm, and thus are of great interest for practical relay systems. 2011 Conference Paper http://hdl.handle.net/20.500.11937/23747 10.1109/WCSP.2011.6096806 IEEE restricted
spellingShingle Rong, Yue
Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems
title Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems
title_full Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems
title_fullStr Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems
title_full_unstemmed Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems
title_short Source and Relay Matrices Optimization for Multiuser Multi-Hop MIMO Relay Systems
title_sort source and relay matrices optimization for multiuser multi-hop mimo relay systems
url http://hdl.handle.net/20.500.11937/23747