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Diego Tuzi

dblp:345/1164 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-7477-9473ORCID · reported

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

Computer networks · 1 · 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
Vehicular, aerial and satellite networks · 40% Physical-layer communications · 40% Cellular and mobile networks · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › interference management
interference mitigation
1.012026
Unified Interference Mitigation for LEO Satellite Swarm-Enabled Direct-to-Device Connectivity · IEEE Trans. Commun. 2026
Vehicular, aerial and satellite networks › satellite communication
LEO satellite communication
1.012026
Unified Interference Mitigation for LEO Satellite Swarm-Enabled Direct-to-Device Connectivity · IEEE Trans. Commun. 2026
Physical-layer communications › MIMO
precoding
1.012026
Unified Interference Mitigation for LEO Satellite Swarm-Enabled Direct-to-Device Connectivity · IEEE Trans. Commun. 2026
Physical-layer communications
receiver design
1.012026
Unified Interference Mitigation for LEO Satellite Swarm-Enabled Direct-to-Device Connectivity · IEEE Trans. Commun. 2026
Vehicular, aerial and satellite networks
satellite communication
1.012026
Unified Interference Mitigation for LEO Satellite Swarm-Enabled Direct-to-Device Connectivity · IEEE Trans. Commun. 2026

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

signal-to-leakage-and-noise ratio maximization · 1.0
YearPublicationVenuePosition
2026 Unified Interference Mitigation for LEO Satellite Swarm-Enabled Direct-to-Device Connectivity
abstract
Direct-to-device (D2D) satellite connectivity, an exemplar of non-terrestrial network (NTN) integration with 5G and forthcoming 6G mobile ecosystem, is enjoying rapidly growing prominence. Delivering space-enabled broadband connectivity to smartphones, with their low-power, omnidirectional antennas, requires multitude of technological advancements. One innovation exploits distributed satellite systems using swarms of small regenerative satellites in low-Earth orbit (LEO) that synthesize multiple steerable beams. Another advancement optimizes efficiency of the already scarce radio-frequency (RF) spectrum with full frequency reuse, unfortunately intensifying intrabeam interference. This paper develops novel methodology for unified interference mitigation, comprised of selective precoder and high-performance receiver. Precoder is based on maximizing signal-to-leakage-and-noise ratio (SLNR), made selective about which subset of interference to leave unmitigated. It has low complexity, implemented in two stages to reduce computational requirements and alleviate user-scheduling constraints. High-performance receiver jointly processes signal and dominant interference, building on divide-and-conquer (DAC) paradigm to synergize with selective precoding. It has low complexity with computational load that does not grow exponentially with the number of dominant interferers. Extensive simulations reveal that unified interference mitigation significantly surpasses state-of-the-art schemes in sum-rate throughput, outage probability, and block error rate, also under scenarios of synchronization errors and imperfect channel state information at the transmitter (CSIT).
Bassel F. Beidas, Diego Tuzi, Thomas Delamotte, Andreas Knopp
IEEE Trans. Commun.2