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Francois Bentosela

dblp:23/8910 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › MIMO
massive MIMO
0.212016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications › beamforming › transmit beamforming
maximum ratio transmission
0.212016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications
MIMO
0.212016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications › MIMO
precoding
0.212016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications › information theory › capacity analysis
sum-rate analysis
0.212016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications › MIMO › precoding
zero-forcing
0.212016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications
channel modeling
0.112016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016
Physical-layer communications › channel modeling › propagation channel modeling
deterministic channel model
0.112016
On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016

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

fourier coefficient modeling · 0.2direct scattering theory · 0.2
YearPublicationVenuePosition
2016 On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models
abstract
This paper studies the behavior of the sum-rate of outdoor multi-user multiple input multiple output systems, where a uniform linear array is utilized at the base station (BS), as the number of BS antennas and the number of users increase. Two schemes are studied for the downlink, the zero-forcing and the maximum ratio transmission (MRT). To begin with, the channel matrix is described deterministically using direct scattering theory. Its matrix elements are the Fourier coefficients of functions that have a physical significance, being connected to the geometry of the environment. For the case when the energy is not arriving at the BS from every spatial direction, we prove for the ZF scheme that the achievable sum-rate behavior is sublinear in the number of antennas at the BS. For the MRT scheme, we prove that there is a link between the sum-rate and the distribution of the users in the city. To numerically evaluate the sum-rate for a given city, schematically described by its streets and its buildings, we introduce a model for the Fourier coefficients of the aforementioned functions, which mixes geometrical and statistical ingredients. We randomly distribute high buildings that will act as strong scatterers and look at the influence of their number on the sum-rate. With the ZF scheme, we perform the calculations for the case where the number of BS antennas, MT, is equal to the number of users, MR, and for the case where MTis larger than MR. We observe that the sum-rate first increases linearly with the number of BS antennas, and becomes sublinear after MTreaches a certain value. The threshold depends on the number of high buildings. With the MRT scheme, the calculations confirm the theoretical predictions, and the sum-rate is greater if the users are spread over all of the city.
Francois Bentosela, Horia D. Cornean, Arman Farhang, Nicola Marchetti
IEEE Trans. Commun.1