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Spectral and energy spectral efficiency optimization of joint transmit and receive beamforming based multi-relay MIMO-OFDMA cellular networks

Spectral and energy spectral efficiency optimization of joint transmit and receive beamforming based multi-relay MIMO-OFDMA cellular networks
Spectral and energy spectral efficiency optimization of joint transmit and receive beamforming based multi-relay MIMO-OFDMA cellular networks
We first conceive a novel transmission protocol for a multi-relay multiple-input--multiple-output orthogonal frequency-division multiple-access (MIMO-OFDMA) cellular network based on joint transmit and receive beamforming. We then address the associated network-wide spectral efficiency (SE) and energy spectral efficiency (ESE) optimization problems. More specifically, the network's MIMO channels are mathematically decomposed into several effective multiple-input--single-output (MISO) channels, which are essentially spatially multiplexed for transmission. Hence, these effective MISO channels are referred to as spatial multiplexing components (SMCs). For the sake of improving the SE/ESE performance attained, the SMCs are grouped using a pair of proposed grouping algorithms. The first is optimal in the sense that it exhaustively evaluates all the possible combinations of SMCs satisfying both the semi-orthogonality criterion and other relevant system constraints, whereas the second is a lower-complexity alternative. Corresponding to each of the two grouping algorithms, the pair of SE and ESE maximization problems are formulated, thus the optimal SMC groups and optimal power control variables can be obtained for each subcarrier block. These optimization problems are proven to be concave, and the dual decomposition approach is employed for obtaining their solutions. Relying on these optimization solutions, the impact of various system parameters on both the attainable SE and ESE is characterized. In particular, we demonstrate that under certain conditions the lower-complexity SMC grouping algorithm achieves 90% of the SE/ESE attained by the exhaustive-search based optimal grouping algorithm, while imposing as little as 3.5% of the latter scheme's computational complexity.
green communications, spatial multiplexing, beamforming, multi-relay, MIMO-OFDMA, fractional programming, dual decomposition, cross-layer design
6147-6165
Cheung, Kent Tsz Kan
2cd81603-71fa-4ef6-b859-5892fdb08bfd
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Cheung, Kent Tsz Kan
2cd81603-71fa-4ef6-b859-5892fdb08bfd
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Cheung, Kent Tsz Kan, Yang, Shaoshi and Hanzo, Lajos (2014) Spectral and energy spectral efficiency optimization of joint transmit and receive beamforming based multi-relay MIMO-OFDMA cellular networks. IEEE Transactions on Wireless Communications, 13 (11), 6147-6165.

Record type: Article

Abstract

We first conceive a novel transmission protocol for a multi-relay multiple-input--multiple-output orthogonal frequency-division multiple-access (MIMO-OFDMA) cellular network based on joint transmit and receive beamforming. We then address the associated network-wide spectral efficiency (SE) and energy spectral efficiency (ESE) optimization problems. More specifically, the network's MIMO channels are mathematically decomposed into several effective multiple-input--single-output (MISO) channels, which are essentially spatially multiplexed for transmission. Hence, these effective MISO channels are referred to as spatial multiplexing components (SMCs). For the sake of improving the SE/ESE performance attained, the SMCs are grouped using a pair of proposed grouping algorithms. The first is optimal in the sense that it exhaustively evaluates all the possible combinations of SMCs satisfying both the semi-orthogonality criterion and other relevant system constraints, whereas the second is a lower-complexity alternative. Corresponding to each of the two grouping algorithms, the pair of SE and ESE maximization problems are formulated, thus the optimal SMC groups and optimal power control variables can be obtained for each subcarrier block. These optimization problems are proven to be concave, and the dual decomposition approach is employed for obtaining their solutions. Relying on these optimization solutions, the impact of various system parameters on both the attainable SE and ESE is characterized. In particular, we demonstrate that under certain conditions the lower-complexity SMC grouping algorithm achieves 90% of the SE/ESE attained by the exhaustive-search based optimal grouping algorithm, while imposing as little as 3.5% of the latter scheme's computational complexity.

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twc-hanzo-2348996-proof_Part1.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 9 August 2014
e-pub ahead of print date: 18 August 2014
Published date: November 2014
Keywords: green communications, spatial multiplexing, beamforming, multi-relay, MIMO-OFDMA, fractional programming, dual decomposition, cross-layer design
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 359527
URI: https://eprints.soton.ac.uk/id/eprint/359527
PURE UUID: e5eca53f-48c0-4bad-9a9f-bb2c9c8b3539
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 06 Nov 2013 13:43
Last modified: 06 Jun 2018 13:15

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Contributors

Author: Kent Tsz Kan Cheung
Author: Shaoshi Yang
Author: Lajos Hanzo ORCID iD

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