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Metehan Karatas

dblp:414/0560 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0003-2669-9668ORCID · reported

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

Computer networks · 2 · 2 first-author · 2 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 · 64% Cellular and mobile networks · 36%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
beamforming
0.912025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025
Cellular and mobile networks › base station cooperation
cell-free network
0.912025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025
Physical-layer communications › beamforming
hybrid beamforming
0.912025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025
Physical-layer communications › MIMO
massive MIMO
0.912025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025
Cellular and mobile networks › mobile networks › mobile network architecture › cellular network architecture
user-centric network
0.912025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025
Physical-layer communications › equalization
decision feedback equalization
0.312025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025
Physical-layer communications › signal detection
iterative detection
0.312025
Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks · IEEE Trans. Commun. 2025

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

parallel interference cancellation · 0.9iterative block decision feedback equalization · 0.9
YearPublicationVenuePosition
2026 VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI
Metehan Karatas, Subhrakanti Dey, Christian Rohner, Jose Mairton B. da Silva Jr.
ICC1
2025 Iterative Detection Schemes for Uplink Highly Loaded User-Centric Hybrid Beamforming Based Frequency Selective Massive MIMO Networks
abstract
In cell-free (CF) networks, access points (APs) jointly serve the user equipments (UEs). In user-centric (UC) variant, only a handful of APs serve a particular UE, namely the ones with the best channels. In this paper, we propose a hybrid beamforming aided uplink receiver scheme for highly loaded UC massive MIMO (mMIMO) networks, operating in millimeter-wave (mmWave) frequencies, employing single carrier modulation under frequency selective channels. Every AP employs its own analog beamformer (AB) called the modified eigen-beamformer (MEB), which promotes a trend of fairness. In the digital domain, two detectors are proposed; Cell-Free Iterative Detector (CFI-D) and User-Centric Iterative Subset-Detector (UCIS-D). CFI-D introduces the iterative block decision feedback equalization (IB-DFE) method for CF networks. UCIS-D is an alternative to CFI-D. UCIS-D is UC, has low computational complexity (CCP) and is scalable. UCIS-D relies on parallel interference cancellation (PIC) aided IB-DFE. Interfering UEs are divided into three sets. Weak interferers are processed with PIC, strong interferers with IB-DFE which considers the residual interference from PIC. Weakest interferers are ignored. Both PIC and IB-DFE utilize the soft decisions from previous iterations. Simulation results show that these receivers can handle ultra high loads in terms of bit-error-rate (BER) and achievable information rate (AIR).
Metehan Karatas, Gökhan Muzaffer Güvensen
IEEE Trans. Commun.1