Demo Data from EDBT 2026 / reviewers in the wild / expert
Souradeep Ghosh
dblp:420/8768
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 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 |
Cellular and mobile networks · 46% Physical-layer communications · 30% Wireless networking · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
millimeter-wave communication |
0.9 | 1 | 2025 | Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies · IEEE Trans. Commun. 2025 |
Wireless networking › cognitive radio › spectrum sharing
multi-operator spectrum sharing |
0.9 | 1 | 2025 | Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies · IEEE Trans. Commun. 2025 |
Cellular and mobile networks
radio access networks |
0.9 | 1 | 2025 | Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies · IEEE Trans. Commun. 2025 |
Physical-layer communications
reconfigurable intelligent surface |
0.9 | 1 | 2025 | Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies · IEEE Trans. Commun. 2025 |
Physical-layer communications
spectral efficiency |
0.3 | 1 | 2025 | Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies · IEEE Trans. Commun. 2025 |
Methods — techniques the papers use, named apart from their topics
numerical simulation · 0.9ergodic sum spectral efficiency analysis · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave FrequenciesabstractIntelligent reflecting surfaces (IRSs) are envisioned to enhance the performance of mmWave wireless systems. In practice, multiple mobile operators (MO) coexist in an area and provide simultaneous and independent services to user-equipments (UEs) on different frequency bands. Then, if each MO deploys an IRS to enhance its performance, the IRSs also alter the channels of UEs of other MOs. In this context, this paper addresses the following questions: can an MO still continue to control its IRS independently of other MOs and IRSs? Is joint optimization of IRSs deployed by different MOs and inter-MO cooperation needed? To that end, by considering the mmWave bands, we first derive the ergodic sum spectral efficiency (SE) in a 2-MO system for the following schemes: 1) joint optimization of an overall phase angle of the IRSs with MO cooperation, 2) MO cooperation via time-sharing, and 3) no cooperation between the MOs. We find that even with no cooperation between the MOs, the performance of a given MO is not degraded by the presence of an out-of-band (OOB) MO deploying and independently controlling its own IRS. On the other hand, the SE gain obtained at a given MO using joint optimization and cooperation over the no-cooperation scheme decreases inversely with the number of elements in the IRS deployed by the other MO. We generalize our results to a multiple MO setup and show that the gain in the sum-SE over the no-cooperation case increases at least linearly with the number of OOB MOs. Finally, we numerically verify our findings and conclude that every MO can independently operate and tune its IRS; cooperation via optimizing an overall phase only brings marginal benefits in practice. Souradeep Ghosh, L. Yashvanth, Chandra R. Murthy |
IEEE Trans. Commun. | 1 |