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A Multi-cell MMSE Precoder 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 precoder is proposed for massive MIMO systems. We consider a multi-cell network where each cell has K users and B orthogonal pilot sequences are available, with B = βK and β ≥ 1 being the pilot reuse factor over the network. In comparison with conventional single-cell precoding which only uses the K intra-cell channel estimates, the proposed multi-cell MMSE precoder utilizes all B channel directions that can be estimated locally at a base station, so that the transmission is designed spatially to suppress both parts of the inter-cell and intra-cell interference. To evaluate the performance, a large-scale approximation of the downlink SINR for the proposed multi-cell MMSE precoder is derived and the approximation is tight in the large-system limit. Power control for the pilot and payload, imperfect channel estimation and arbitrary pilot allocation are accounted for in our precoder. Numerical results show that the proposed multi-cell MMSE precoder achieves a significant sum spectral efficiency gain over the classical single-cell MMSE precoder and the gain increases as K or β grows. Compared with the recent M-ZF precoder, whose performance degrades drastically for a large K, our M-MMSE can always guarantee a high and stable performance. Moreover, the large-scale approximation is easy to compute and shown to be accurate even for 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-128676DOI: 10.1109/GLOCOM.2015.7417394ISBN: 978-14799-59-52-5OAI: oai:DiVA.org:liu-128676DiVA: diva2:931491
Conference
58th IEEE Global Communications Conference, GLOBECOM 2015. 6-10 December 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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