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A Multi-cell MMSE Precoder for Massive MIMO Systems and New Large System Analysis
Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Dept Elect Engn, State Key Lab Microwave & Digital Commun, Beijing 100084, Peoples R China..
Linköping Univ, Dept Elect Engn ISY, SE-58183 Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Linköping Univ, Dept Elect Engn ISY, SE-58183 Linköping, Sweden..
Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Dept Elect Engn, State Key Lab Microwave & Digital Commun, Beijing 100084, Peoples R China..
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2015 (English)In: 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), IEEE , 2015Conference paper, Published 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 = beta K and beta >= 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 beta 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
IEEE , 2015.
Series
IEEE Global Communications Conference, ISSN 2334-0983
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295960DOI: 10.1109/GLOCOM.2015.7417394ISI: 000382389302132ISBN: 978-1-4799-5952-5 (print)OAI: oai:DiVA.org:kth-295960DiVA, id: diva2:1664565
Conference
IEEE Global Telecommunications Conference (GLOBECOM), DEC 06-10, 2015, San Diego, CA
Note

QC 20220620

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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CiteExportLink to record
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  • apa
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