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A Multi-cell MMSE Detector for Massive MIMO Systems and New Large System Analysis
Tsinghua University, Beijing, 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, Beijing, China.
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2015 (English)In: 2015 IEEE Global Communications Conference, GLOBECOM 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 1-6 p.Conference paper (Refereed)
Abstract [en]

In this paper, a new multi-cell MMSE detector is proposed for massive MIMO systems. Let K and B denote the number of users in each cell and the number of available pilot sequences in the network, respectively, with B = βK, where β ≥ 1 is called the pilot reuse factor. The novelty of the multi-cell MMSE detector is that it utilizes all B channel directions that can be estimated locally at a base station, so that intra-cell interference, parts of the inter-cell interference and the noise can all be actively suppressed, while conventional detectors only use the K intra-cell channels. Furthermore, in the large- system limit, a deterministic equivalent expression of the uplink SINR for the proposed multi-cell MMSE is derived. The expression is easy to compute and accounts for power control for the pilot and payload, imperfect channel estimation and arbitrary pilot allocation. Numerical results show that significant sum spectral efficiency gains can be obtained by the multi-cell MMSE over the conventional single-cell MMSE and the recent multi-cell ZF, and the gains become more significant as β and/or K increases. Furthermore, the deterministic equivalent is shown to be very accurate even for relatively small system dimensions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 1-6 p.
National Category
Communication Systems Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-128677DOI: 10.1109/GLOCOM.2015.7417112ISBN: 978-1479-9-5952-5OAI: oai:DiVA.org:liu-128677DiVA: diva2:931492
Conference
58th IEEE Global Communications Conference, GLOBECOM 2015. 6-10 Dec. 2015, San Diego, CA
Available from: 2016-05-28 Created: 2016-05-28 Last updated: 2016-08-31

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Björnson, EmilLarsson, Erik G
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ReferencesLink to record
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