SINR-outage minimization of robust beamforming for the non-orthogonal wireless downlink
SINR-outage minimization of robust beamforming for the non-orthogonal wireless downlink
A probabilistically robust transmit beamforming problem is referred, when the wireless downlink (DL) communication is supported by a robust non-orthogonal transmission (NOT)-aided design. Realistic imperfect channel state information (CSI) is considered in the face of rapidly fluctuating vehicular wireless channels, when the road side unit (RSU) communicates with multiple vehicles. Our design objective is to keep the probability of each vehicle’s signal-to-interference-plus-noise ratio (SINR) outage below a given threshold. Minimizing the outage probability presents a significant analytical and computational challenge, since it does not lend itself to tractable closed-form expressions. Assuming a Gaussian CSI uncertainty distribution, we provide an approximation method by resorting to the semidefinite relaxation (SDR) and then apply a convex restriction to the original SINR outage constraints. Furthermore, the infinite constraints are reformulated into linear matrix inequalities (LMIs) by exploiting the popular S-procedure. As a benefit, the reformulated program can be solved efficiently using off-the-shelf solvers. Computer simulations are performed for benchmarking our convex method both against the non-robust non-orthogonal as well as the classical orthogonal designs. The results show that our robust beamforming design offers excellent high-mobility performance.
Robust optimization, channel state information (CSI), high mobility, non-orthogonal multiple access (NOMA), outage probability
1-11
Chen, Yingyang
7ca49191-73de-4b56-b282-abd2aa143da9
Wen, Miaowen
bc059b46-23e5-49d7-a333-cd5cb404e9d7
Wang, Li
f54669eb-8e6b-43ea-a6df-47cda21d6950
Liu, Weiping
4df171a1-a0d0-4a9a-bdde-21330128f48e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, Yingyang
7ca49191-73de-4b56-b282-abd2aa143da9
Wen, Miaowen
bc059b46-23e5-49d7-a333-cd5cb404e9d7
Wang, Li
f54669eb-8e6b-43ea-a6df-47cda21d6950
Liu, Weiping
4df171a1-a0d0-4a9a-bdde-21330128f48e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, Yingyang, Wen, Miaowen, Wang, Li, Liu, Weiping and Hanzo, Lajos
(2020)
SINR-outage minimization of robust beamforming for the non-orthogonal wireless downlink.
IEEE Transactions on Communications, 68 (11), , [9151971].
(doi:10.1109/TCOMM.2020.3012696).
Abstract
A probabilistically robust transmit beamforming problem is referred, when the wireless downlink (DL) communication is supported by a robust non-orthogonal transmission (NOT)-aided design. Realistic imperfect channel state information (CSI) is considered in the face of rapidly fluctuating vehicular wireless channels, when the road side unit (RSU) communicates with multiple vehicles. Our design objective is to keep the probability of each vehicle’s signal-to-interference-plus-noise ratio (SINR) outage below a given threshold. Minimizing the outage probability presents a significant analytical and computational challenge, since it does not lend itself to tractable closed-form expressions. Assuming a Gaussian CSI uncertainty distribution, we provide an approximation method by resorting to the semidefinite relaxation (SDR) and then apply a convex restriction to the original SINR outage constraints. Furthermore, the infinite constraints are reformulated into linear matrix inequalities (LMIs) by exploiting the popular S-procedure. As a benefit, the reformulated program can be solved efficiently using off-the-shelf solvers. Computer simulations are performed for benchmarking our convex method both against the non-robust non-orthogonal as well as the classical orthogonal designs. The results show that our robust beamforming design offers excellent high-mobility performance.
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More information
Accepted/In Press date: 23 July 2020
e-pub ahead of print date: 29 July 2020
Keywords:
Robust optimization, channel state information (CSI), high mobility, non-orthogonal multiple access (NOMA), outage probability
Identifiers
Local EPrints ID: 442868
URI: http://eprints.soton.ac.uk/id/eprint/442868
ISSN: 0090-6778
PURE UUID: 562e5cee-f304-4f60-bbf3-497a1ccf98ad
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Date deposited: 30 Jul 2020 16:30
Last modified: 28 Apr 2022 01:34
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Contributors
Author:
Yingyang Chen
Author:
Miaowen Wen
Author:
Li Wang
Author:
Weiping Liu
Author:
Lajos Hanzo
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