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Large-scale Massive MIMO Network Evaluation Using Ray-based Deterministic Simulations
SIRADEL, France.
SIRADEL, France.
Linköpings universitet, Institutionen för systemteknik, Kommunikationssystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-5954-434X
Linköpings universitet, Institutionen för systemteknik, Kommunikationssystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-7599-4367
2018 (engelsk)Inngår i: 2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), IEEE , 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Large-scale massive MIMO network deployments can provide higher spectral efficiency and better coverage for future communication systems like 5G. Due to the large number of antennas at the base station, the system achieves stable channel quality and spatially separable channels to the different users. In this paper, linear, planar, circular and cylindrical arrays are used in the evaluation of a large-scale multi-cell massive MIMO network. The system-level performance is predicted using two different kinds of channel models. First, a ray-based deterministic tool is utilized in a real North American city environment. Second, an independent and identically distributed (i.i.d.) Rayleigh fading channel model is considered, as often used in previously published massive MIMO studies. The analysis is conducted in a 16-macro-cell network with outdoor and randomly distributed users. It is shown that the array configuration has a large impact on the throughput statistics. Although the system level performance with i.i.d. Rayleigh fading can be close to the deterministic prediction in some situations (e.g., with large linear arrays), significant differences are noticed when considering other types of arrays.

sted, utgiver, år, opplag, sider
IEEE , 2018.
Serie
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops, ISSN 2166-9570
Emneord [en]
Massive MIMO; channel modelling; ray-based model
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-154762DOI: 10.1109/PIMRC.2018.8580760ISI: 000457761900055ISBN: 978-1-5386-6009-6 (tryckt)OAI: oai:DiVA.org:liu-154762DiVA, id: diva2:1291729
Konferanse
29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Merknad

Funding Agencies|European Commission [641985]

Tilgjengelig fra: 2019-02-26 Laget: 2019-02-26 Sist oppdatert: 2019-06-28

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