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Robust energy-efficient precoding optimization for dual-polarized multiuser MIMO downlink

Robust energy-efficient precoding optimization for dual-polarized multiuser MIMO downlink
Robust energy-efficient precoding optimization for dual-polarized multiuser MIMO downlink
In this paper, we propose the robust fairness-based energy efficiency (EE) optimization of the dual-polarized multiuser multiple-input multiple-output (MIMO) downlink. Exploiting the special dual-polarized antenna structure, the polarizationbased subgrouping technique is adopted which enjoys low implementation complexity, low feedback overhead, and good performance. Based on this, the proposed robust fairness-based EE precoding design aims at maximizing the minimum EE, i.e., the worst-case EE, achieved among all users with the norm bounded channel errors. Further, the formulated nonconvex EE optimization problem is transformed into a series of standard semidefinite programming (SDP) problems, which can be effectively solved by the convex optimization technique. Simulation results demonstrate the robust EE performance advantages of the proposed polarization
1-5
IEEE
Gong, Shiqi
28581532-77f4-4d05-9bad-1d20682a2730
Xing, Chengwen
17b57c3c-f667-446d-87d8-f4b271b55898
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Yang, Nan
bb7d967b-e762-4b2e-8a66-882a3aed7c6c
Zhou, Yiqing
904bb426-8430-40a5-b80d-eaaf48405659
Gong, Shiqi
28581532-77f4-4d05-9bad-1d20682a2730
Xing, Chengwen
17b57c3c-f667-446d-87d8-f4b271b55898
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Yang, Nan
bb7d967b-e762-4b2e-8a66-882a3aed7c6c
Zhou, Yiqing
904bb426-8430-40a5-b80d-eaaf48405659

Gong, Shiqi, Xing, Chengwen, Chen, Sheng, Yang, Nan and Zhou, Yiqing (2017) Robust energy-efficient precoding optimization for dual-polarized multiuser MIMO downlink. In 2017 IEEE International Conference on Cognitive Computing (ICCC 2017). IEEE. pp. 1-5 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we propose the robust fairness-based energy efficiency (EE) optimization of the dual-polarized multiuser multiple-input multiple-output (MIMO) downlink. Exploiting the special dual-polarized antenna structure, the polarizationbased subgrouping technique is adopted which enjoys low implementation complexity, low feedback overhead, and good performance. Based on this, the proposed robust fairness-based EE precoding design aims at maximizing the minimum EE, i.e., the worst-case EE, achieved among all users with the norm bounded channel errors. Further, the formulated nonconvex EE optimization problem is transformed into a series of standard semidefinite programming (SDP) problems, which can be effectively solved by the convex optimization technique. Simulation results demonstrate the robust EE performance advantages of the proposed polarization

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iccc2017 - Accepted Manuscript
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Published date: 13 December 2017
Venue - Dates: IEEE International Conference on Communications in China, China, 2017-12-13 - 2017-12-16

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Local EPrints ID: 417468
URI: http://eprints.soton.ac.uk/id/eprint/417468
PURE UUID: 639710a9-bb3e-444c-be35-08de9864ed0c

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Date deposited: 31 Jan 2018 17:30
Last modified: 10 Sep 2020 16:54

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