Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks

In this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is to minimize the sum power of transmitters and relays by beamforming optimization under the stream signal-to-interference...

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Main Authors: Cenk M. Yetis, Ronald Y. Chang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8515183/
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spelling doaj-35800fbd57e24230bb2367ba66b850b42021-03-29T22:55:37ZengIEEEIEEE Access2169-35362019-01-0177535755410.1109/ACCESS.2018.28787088515183Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference NetworksCenk M. Yetis0https://orcid.org/0000-0002-6198-4555Ronald Y. Chang1https://orcid.org/0000-0003-4620-6824Research Center for Information Technology Innovation, Academia Sinica, Taipei, TaiwanResearch Center for Information Technology Innovation, Academia Sinica, Taipei, TaiwanIn this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is to minimize the sum power of transmitters and relays by beamforming optimization under the stream signal-to-interference-plus-noise-ratio (SINR) constraints. For transmit beamforming optimization, the problem is a well-known non-convex quadratically constrained quadratic program (QCQP) that is NP-hard to solve. After semi-definite relaxation (SDR), the problem can be optimally solved via alternating direction method of multipliers (ADMM) algorithm for distributed implementation. Analytical and extensive numerical analyses demonstrate that the proposed ADMM solution converges to the optimal centralized solution. The convergence rate, computational complexity, and message exchange load of the proposed algorithm outperforms the existing solutions. Furthermore, by SINR approximation at the relay side, distributed joint transmit and relay beamforming optimization is also proposed that further improves the total power saving at the cost of increased complexity.https://ieeexplore.ieee.org/document/8515183/Alternating direction method of multipliers (ADMM)distributed multi-stream beamformingMIMO multi-relay interference networks with direct linksquality of service assurance
collection DOAJ
language English
format Article
sources DOAJ
author Cenk M. Yetis
Ronald Y. Chang
spellingShingle Cenk M. Yetis
Ronald Y. Chang
Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
IEEE Access
Alternating direction method of multipliers (ADMM)
distributed multi-stream beamforming
MIMO multi-relay interference networks with direct links
quality of service assurance
author_facet Cenk M. Yetis
Ronald Y. Chang
author_sort Cenk M. Yetis
title Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
title_short Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
title_full Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
title_fullStr Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
title_full_unstemmed Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
title_sort distributed multi-stream beamforming in mimo multi-relay interference networks
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is to minimize the sum power of transmitters and relays by beamforming optimization under the stream signal-to-interference-plus-noise-ratio (SINR) constraints. For transmit beamforming optimization, the problem is a well-known non-convex quadratically constrained quadratic program (QCQP) that is NP-hard to solve. After semi-definite relaxation (SDR), the problem can be optimally solved via alternating direction method of multipliers (ADMM) algorithm for distributed implementation. Analytical and extensive numerical analyses demonstrate that the proposed ADMM solution converges to the optimal centralized solution. The convergence rate, computational complexity, and message exchange load of the proposed algorithm outperforms the existing solutions. Furthermore, by SINR approximation at the relay side, distributed joint transmit and relay beamforming optimization is also proposed that further improves the total power saving at the cost of increased complexity.
topic Alternating direction method of multipliers (ADMM)
distributed multi-stream beamforming
MIMO multi-relay interference networks with direct links
quality of service assurance
url https://ieeexplore.ieee.org/document/8515183/
work_keys_str_mv AT cenkmyetis distributedmultistreambeamforminginmimomultirelayinterferencenetworks
AT ronaldychang distributedmultistreambeamforminginmimomultirelayinterferencenetworks
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