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Multipair Two-Way Half-Duplex DF Relaying With Massive Arrays and Imperfect CSI
Zhejiang Univ, Peoples R China; Xidian Univ, Peoples R China.
Zhejiang Univ, Peoples R China; Xidian Univ, Peoples R China.
Queens Univ Belfast, North Ireland.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
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2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 17, no 5, p. 3269-3283Article in journal (Refereed) Published
Abstract [en]

This paper considers a two-way half-duplex decode-and-forward relaying system, where multiple pairs of single-antenna users exchange information via a multiple-antenna relay. Assuming that the channel knowledge is nonideal and the relay employs maximum ratio processing, we derive a large-scale approximation of the sum spectral efficiency (SE) that is tight when the number of relay antennas M becomes very large. Furthermore, we study how the transmit power scales with M to maintain a desired SE. In particular, three special power-scaling cases are discussed and the corresponding asymptotic SE is deduced with clear insights. Our elegant power-scaling laws reveal a tradeoff between the transmit powers of the user/relay and pilot symbol. Finally, we formulate a power allocation problem in terms of maximizing the sum SE and obtain a local optimum by solving a sequence of geometric programming problems.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 17, no 5, p. 3269-3283
Keywords [en]
Decode-and-forward; geometric programming; massive MIMO; power-scaling law; two-way relaying
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-148109DOI: 10.1109/TWC.2018.2808952ISI: 000432014300032OAI: oai:DiVA.org:liu-148109DiVA, id: diva2:1211307
Note

Funding Agencies|National Science and Technology Major Project of China [2017ZX03001002-003]; National Natural Science Foundation of China [61671406, U1709219, 61725104]; Zhejiang Provincial Natural Science Foundation of China [LR15F010001]; Open Research Fund of State Key Laboratory of Integrated Services Networks [ISN19-05]

Available from: 2018-05-30 Created: 2018-05-30 Last updated: 2019-06-28

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • Other style
More styles
Language
  • de-DE
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  • Other locale
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Output format
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