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

Shiqi Gong, Chengwen Xing, Sheng Chen, Nan Yang, Yiqing Zhou

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    In this paper, we investigate 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 polarization-based 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 techinique. Simulation results demonstrate the robust EE performance advantages of the proposed polarization-based subgrouping precoding scheme.

    Original languageEnglish
    Title of host publication2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538645024
    DOIs
    Publication statusPublished - 2 Jul 2017
    Event2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 - Qingdao, China
    Duration: 22 Oct 201724 Oct 2017

    Publication series

    Name2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
    Volume2018-January

    Conference

    Conference2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
    Country/TerritoryChina
    CityQingdao
    Period22/10/1724/10/17

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