Demo Data from EDBT 2026 / reviewers in the wild / expert
Francois Bentosela
dblp:23/8910
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › MIMO
massive MIMO |
0.2 | 1 | 2016 | 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 |
0.2 | 1 | 2016 | On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016 |
Physical-layer communications
MIMO |
0.2 | 1 | 2016 | On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016 |
Physical-layer communications › MIMO
precoding |
0.2 | 1 | 2016 | 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 |
0.2 | 1 | 2016 | 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 |
0.2 | 1 | 2016 | On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel Models · IEEE Trans. Commun. 2016 |
Physical-layer communications
channel modeling |
0.1 | 1 | 2016 | 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 |
0.1 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | On the Sublinear Behavior of Massive Multi-User MIMO Sum-Rates for Deterministic Channel ModelsabstractThis 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 |