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Cell-Free Massive MIMO with Rician Fading: Estimation Schemes and Spectral Efficiency
Linköpings universitet, Institutionen för systemteknik, Kommunikationssystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för systemteknik, Kommunikationssystem. Linköpings universitet, Tekniska fakulteten.
Beijing Jiaotong Univ, Peoples R China.
2018 (Engelska)Ingår i: 2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, IEEE , 2018, s. 975-979Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

As the cell sizes in cellular networks shrink, the inter-cell interference becomes more of an issue. Instead of operating each cell autonomously, we can connect all the access points (APs) together to form a cell-free massive MIMO (multiple-input multiple-output) system that can alleviate interference by spatial processing. Previous studies have focused on Rayleigh fading channels, but in densely deployed systems, it is likely that some of the users will have line-of-sight (LoS) propagation to some of the APs. In this paper, we model this by arbitrarily distributed Rician fading channels. Two types of channel estimators are considered: a classical least-square (LS) estimator and a Bayesian minimum mean square error (MMSE) estimator. We derive closed-form spectral efficiency (SE) expressions for the uplink (UL) and downlink (DL) when using each of these estimators for maximum ratio (MR) processing. The performance difference is evaluated numerically to figure out under which conditions it is beneficial to know the channel statistics when estimating a channel.

Ort, förlag, år, upplaga, sidor
IEEE , 2018. s. 975-979
Serie
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
Nationell ämneskategori
Telekommunikation
Identifikatorer
URN: urn:nbn:se:liu:diva-158407DOI: 10.1109/ACSSC.2018.8645135ISI: 000467845100172ISBN: 978-1-5386-9218-9 (digital)OAI: oai:DiVA.org:liu-158407DiVA, id: diva2:1332806
Konferens
52nd Asilomar Conference on Signals, Systems, and Computers
Tillgänglig från: 2019-06-28 Skapad: 2019-06-28 Senast uppdaterad: 2019-06-28

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Özdogan, ÖzgecanBjörnson, Emil
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