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Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing
Ericsson Res, S-58112 Linköping, Sweden.;Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..ORCID-id: 0000-0002-5954-434x
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
2018 (engelsk)Inngår i: 2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018), IEEE , 2018, s. 1003-1007Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Cell-free Massive multiple-input multiple-output (MIMO) ensures ubiquitous communication at high spectral efficiency (SE) thanks to increased macro-diversity as compared cellular communications. However, system scalability and performance are limited by fronthauling traffic and interference. Unlike conventional precoding schemes that only suppress intracell interference, full-pilot zero-forcing (fpZF), introduced in [1], actively suppresses also inter-cell interference, without sharing channel state information (CSI) among the access points (APs). In this study, we derive a new closed-form expression for the downlink (DL) SE of a cell-free Massive MIMO system with multi-antenna APs and fpZF precoding, under imperfect CSI and pilot contamination. The analysis also includes max-min fairness DL power optimization. Numerical results show that fpZF significantly outperforms maximum ratio transmission scheme, without increasing the fronthauling overhead, as long as the system is sufficiently distributed.

sted, utgiver, år, opplag, sider
IEEE , 2018. s. 1003-1007
Serie
IEEE Global Conference on Signal and Information Processing, ISSN 2376-4066
Emneord [en]
Cell-free Massive MIMO, full-pilot zero-forcing, downlink spectral efficiency, max-min fairness power control
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-295885DOI: 10.1109/GlobalSIP.2018.8646666ISI: 000462968100205ISBN: 978-1-7281-1295-4 (tryckt)OAI: oai:DiVA.org:kth-295885DiVA, id: diva2:1664613
Konferanse
IEEE Global Conference on Signal and Information Processing (GlobalSIP), NOV 26-29, 2018, Anaheim, CA
Merknad

QC 20220620

Tilgjengelig fra: 2022-06-03 Laget: 2022-06-03 Sist oppdatert: 2023-04-24bibliografisk kontrollert

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