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A Multi-cell MMSE Detector for Massive MIMO Systems and New Large System Analysis
Tsinghua Univ, Dept Elect Engn, State Key Lab Microwave & Digital Commun, Tsinghua Natl Lab Informat Sci & Technol, 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, Dept Elect Engn, State Key Lab Microwave & Digital Commun, Tsinghua Natl Lab Informat Sci & Technol, 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 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 = beta K, where beta >= 1 is called the pilot reuse factor. The novelty of the multicell 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 beta 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
IEEE , 2015.
Series
IEEE Global Communications Conference, ISSN 2334-0983
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295961DOI: 10.1109/GLOCOM.2015.7417112ISI: 000382389301013ISBN: 978-1-4799-5952-5 (print)OAI: oai:DiVA.org:kth-295961DiVA, id: diva2:1664580
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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