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Sergei Shikhantsov

dblp:236/9348 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-0967-6379ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › channel modeling
MIMO channel modeling
0.412020
Massive MIMO Propagation Modeling With User-Induced Coupling Effects Using Ray-Tracing and FDTD · IEEE J. Sel. Areas Commun. 2020
Physical-layer communications
specific absorption rate
0.412020
Massive MIMO Propagation Modeling With User-Induced Coupling Effects Using Ray-Tracing and FDTD · IEEE J. Sel. Areas Commun. 2020
Physical-layer communications › radio propagation
ray-tracing
0.112020
Massive MIMO Propagation Modeling With User-Induced Coupling Effects Using Ray-Tracing and FDTD · IEEE J. Sel. Areas Commun. 2020

Methods — techniques the papers use, named apart from their topics

stochastic geometry · 0.4ray tracing · 0.4maximum ratio transmission · 0.4finite-difference time-domain · 0.4
YearPublicationVenuePosition
2020 Massive MIMO Propagation Modeling With User-Induced Coupling Effects Using Ray-Tracing and FDTD
abstract
The article describes a numerical approach for Massive MIMO channel modeling that accounts for the effects of electromagnetic coupling between a user and the receiving device. The modeling is performed by a combination of the Finite-Difference Time-Domain and the Ray-Tracing methods, supplemented with a stochastic geometry model of the propagation environment. The influence of user-coupling on the channel properties was studied statistically using the singular value spread and matrix power ratio metrics of the channel correlation matrix. The time-averaged Poynting vector distribution in the near-field of the receiver was evaluated using a realistic human phantom model and the Maximum Ratio Transmission precoding scheme in the downlink. The average enhancement of the time-average Poynting vector magnitude at the receiver location, compared to the surrounding area, was found to be around 10 dB when using 36 antenna elements at the base station. The electromagnetic field exposure of the phantom was assessed in terms of the 10g-average peak-spatial Specific Absorption Rate and compared with the existing public guidelines. Comparison of the EMF and exposure results provides a new perspective on the future regulatory procedures.
Sergei Shikhantsov, Arno Thielens, Günter Vermeeren, Piet Demeester, Luc Martens, Guy Torfs, Wout Joseph
IEEE J. Sel. Areas Commun.1