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Massive MIMO with multi-cell MMSE processing: exploiting all pilots for interference suppression
Tsinghua University, Peoples R China.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
Tsinghua University, Peoples R China.
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2017 (English)In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, 117Article in journal (Refereed) Published
Abstract [en]

A new state-of-the-art multi-cell minimum mean square error (M-MMSE) scheme is proposed for massive multiple-input-multiple-output (MIMO) networks, which includes an uplink MMSE detector and a downlink MMSE precoder. Contrary to conventional single-cell schemes that suppress interference using only channel estimates for intra-cell users, our scheme shows the optimal way to suppress both intra-cell and inter-cell interference instantaneously by fully utilizing the available pilot resources. Specifically, let K and B denote the number of users per cell and the number of orthogonal pilot sequences in the network, respectively, where beta = B/K is the pilot reuse factor. Our scheme utilizes all B channel directions that can be estimated locally at each base station, to actively suppress both intra-cell and inter-cell interference. Our scheme is practical and general, since power control, imperfect channel estimation, and arbitrary pilot allocation are all accounted for. Simulations show that significant spectral efficiency (SE) gains are obtained over the conventional single-cell MMSE scheme and the multi-cell zero-forcing (ZF) scheme. Furthermore, large-scale approximations of the uplink and downlink signal-to-interference-and-noise ratios (SINRs) are derived, which are tight in the large-system limit. These approximations are easy to compute and very accurate even for small system dimensions. Using these SINR approximations, a low-complexity power control algorithm is further proposed to maximize the sum SE.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2017. 117
Keyword [en]
Massive MIMO; Multi-cell MMSE; Large-scale SINR approximations; Power control
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-139399DOI: 10.1186/s13638-017-0879-2ISI: 000404395100003OAI: oai:DiVA.org:liu-139399DiVA: diva2:1129881
Note

Funding Agencies|National Basic Research Program [2012CB316000]; National Natural Science Foundation of China [61201192]; National High Technology Research Development Program of China [2014AA01A703]; National ST Major Project [2014ZX03003003-002]; Tsinghua-Qualcomm Joint Research Program; Keysight Technologies, Inc.; ELLIIT; CENIIT project [15.01]; FP7-MAMMOET project

Available from: 2017-08-07 Created: 2017-08-07 Last updated: 2017-08-27

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