Demo Data from EDBT 2026 / reviewers in the wild / expert
Muhammad Abdelghaffar
dblp:384/5443
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2024
0000-0003-2450-2921ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
Physical-layer communications · 54% Cellular and mobile networks · 46% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
duplexing |
0.8 | 1 | 2024 | Subband Full-Duplex Large-Scale Deployed Network Designs and Tradeoffs · Proc. IEEE 2024 |
Physical-layer communications
full-duplex |
0.8 | 1 | 2024 | Subband Full-Duplex Large-Scale Deployed Network Designs and Tradeoffs · Proc. IEEE 2024 |
Cellular and mobile networks
interference management |
0.8 | 1 | 2024 | Subband Full-Duplex Large-Scale Deployed Network Designs and Tradeoffs · Proc. IEEE 2024 |
Cellular and mobile networks
radio access networks |
0.8 | 1 | 2024 | Subband Full-Duplex Large-Scale Deployed Network Designs and Tradeoffs · Proc. IEEE 2024 |
Physical-layer communications › MIMO
massive MIMO |
0.2 | 1 | 2024 | Subband Full-Duplex Large-Scale Deployed Network Designs and Tradeoffs · Proc. IEEE 2024 |
Methods — techniques the papers use, named apart from their topics
system-level evaluation · 0.8field testing · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Advancing 5G Duplexing to 6GabstractSubband Full Duplex (SBFD) is an innovative duplexing method for advanced 5G/6G cellular communication that enhances uplink coverage and minimizes communication latency compared to TDD. SBFD allows a base station to transmit and receive simultaneously in distinct downlink and uplink sub bands within the channel bandwidth of a TDD carrier. To maximize the advantages of SBFD communications, it's crucial to mitigate self-interference and cross-link interference between nodes. This paper initially discusses the enablers for interference mitigation in SBFD deployment, followed by an evaluation analysis and field measurement results of SBFD duplex technology for a 5G massive-MIMO macro network in the 5G band. Muhammad Abdelghaffar, Thomas Valerrian Pasca, Yeliz Tokgoz, Kiran Mukkavilli, Tingfang Ji |
VTC Fall | 1 |
| 2024 | Subband Full-Duplex Large-Scale Deployed Network Designs and TradeoffsabstractTime-division duplex (TDD) and frequency-division duplex (FDD) are mainly used in commercial new radio (NR) deployments, where the time- or frequency-domain resources are split between downlink (DL) and uplink (UL). Full duplex (FD) will enable 5G-advanced and 6G systems to go beyond TDD and FDD operation into a new duplexing mode that leverages the benefits of both TDD/FDD deployments. It achieves higher throughput and lower latency while enabling flexible UL/DL scheduling. However, there are several challenges that need to be overcome to enable FD operation in large-scale system deployment, including intranode and internode [user equipment (UE) and next-generation node B (5G base station)] interference along with intercarrier interference. In this article, we present solutions to mitigate self-interference (SI) and cross-link interference (CLI) in 5G-advanced/6G systems, provide system-level evaluations, and discuss the outcome of Third Generation Partnership Project (3GPP) study item on duplexing evolution. We introduce the concept of subband FD (SBFD) as an effective solution for a macro network to achieve the key features of FD, such as latency reduction and UL link budget improvement. Finally, we present the field test results for the performance of world-first SBFD prototype of high transmit power massive-multi-input-multioutput (MIMO) macro network. Muhammad Abdelghaffar, Thomas Valerrian Pasca, Yeliz Tokgoz, Kiran Mukkavilli, Tingfang Ji |
Proc. IEEE | 1 |