Demo Data from EDBT 2026 / reviewers in the wild / expert
Antti Arvola
dblp:191/1055
· DBLP profile ↗
2ranked-venue papers
2as first author
1since 2021 · last 2026
0000-0003-3228-5453ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-author · 1 since 2021
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › MIMO › precoding
constructive interference precoding |
1.0 | 1 | 2026 | Relaxing Fairness for Improved User-Wise Error Performance in Constructive Interference Precoding · IEEE Trans. Commun. 2026 |
Physical-layer communications › MIMO
precoding |
1.0 | 1 | 2026 | Relaxing Fairness for Improved User-Wise Error Performance in Constructive Interference Precoding · IEEE Trans. Commun. 2026 |
Physical-layer communications
error performance |
0.3 | 1 | 2026 | Relaxing Fairness for Improved User-Wise Error Performance in Constructive Interference Precoding · IEEE Trans. Commun. 2026 |
Physical-layer communications › MIMO
multiuser MIMO |
0.3 | 1 | 2026 | Relaxing Fairness for Improved User-Wise Error Performance in Constructive Interference Precoding · IEEE Trans. Commun. 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Relaxing Fairness for Improved User-Wise Error Performance in Constructive Interference Precoding
Antti Arvola, Antti Tölli |
IEEE Trans. Commun. | 1 |
| 2017 | Rate maximization via PAPR reduction in MIMO-OFDM uplink: A user cooperation approachabstractIn this paper, we propose a novel user cooperation framework aimed at optimizing power efficiency in MIMO-OFDM uplink, where cooperation is directed towards minimizing the transmit signal PAPR at all cooperating users. We consider different degrees of cooperation: 1) joint data transmission with PAPR reduction, 2) only joint data transmission and 3) the reference non-cooperative case based on a zero forcing receiver at the base station. In the cooperative case, we also account for the power required to exchange data between users. The main idea of our scheme is to exploit the unused space-frequency resources induced by the user cooperation to assign dummy symbols on the empty subcarriers and optimize these symbols to affect the outbound waveform. This is achieved as a result for a convex optimization problem which aims to simultaneously minimize the transmit PAPR and dummy symbol power allocation. We further introduce a rate maximization scheme, which maximizes the data power allocation for a given transmit peak power constraint by executing a one-dimensional search. The results show that our proposed PAPR minimizing bit and power allocation scheme can achieve significantly higher throughput at short and medium UE-UE distances. Antti Arvola, Antti Tölli, David Gesbert |
ICC | 1 |