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Energy-Efficient Cooperative Hybrid Precoding for Millimeter-wave Communication Networks
Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China..
Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China..
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2018 (English)In: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, article id 8647975Conference paper, Published paper (Refereed)
Abstract [en]

Millimeter wave (mmwave) communication operating in the band of 30-300 GHz is promising to provide Gbps data rates owing to its abundant spectrum resource, and has attracted increasing attention. Cooperative transmission, by converting undesired interferences into useful signals, is able to further improve performance of mmwave systems. In this paper, we propose a novel cooperative transmission scheme for mmwave communication networks, where each mobile user is cooperatively served by multiple access points (APs) that use hybrid precoders. Our goal is to maximize the system energy efficiency, which leverages on a joint design of the hybrid precoders of all APs. The formulated problem is a difficult nonlinear fractional programming subject to unit modulus constraints. We propose an efficient algorithm by incorporating penalty decomposition and block coordinate descent methods. Numerical results are provided to confirm the effectiveness of the proposed algorithm and reveal some important insights.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. article id 8647975
Series
IEEE Global Communications Conference, ISSN 2334-0983
Keywords [en]
Energy efficiency, hybrid precoding, cooperative transmission, millimeter wave communication
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-252938DOI: 10.1109/GLOCOM.2018.8647975ISI: 000465774305031Scopus ID: 2-s2.0-85063541227ISBN: 978-1-5386-4727-1 (print)OAI: oai:DiVA.org:kth-252938DiVA, id: diva2:1323383
Conference
2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018
Note

QC 20190612

Available from: 2019-06-12 Created: 2019-06-12 Last updated: 2019-06-12Bibliographically approved

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Xiao, Ming

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