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Ferhat Bayar

dblp:202/7208 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0002-9526-7319ORCID · corroborated

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
Physical-layer communications · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › MIMO › space-time coding › space-time block codes
alamouti scheme
0.812024
Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation · IEEE Trans. Mob. Comput. 2024
Physical-layer communications › MIMO › space-time coding
space-time block codes
0.812024
Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation · IEEE Trans. Mob. Comput. 2024
Physical-layer communications › MIMO
spatial modulation
0.812024
Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation · IEEE Trans. Mob. Comput. 2024
Physical-layer communications
MIMO
0.212024
Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation · IEEE Trans. Mob. Comput. 2024
Physical-layer communications › MIMO › antenna selection
receive antenna selection
0.212024
Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation · IEEE Trans. Mob. Comput. 2024

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

maximum likelihood detection · 0.8greedy detection · 0.8
YearPublicationVenuePosition
2025 Adaptive Communication Through Exploiting RIS, SSK, and CIM for Improved Reliability and Efficiency
abstract
In this paper, we present a novel communication system model that integrates reconfigurable intelligent surfaces (RIS), spatial shift keying (SSK), and code index modulation (CIM) based on Hadamard coding called RIS based transmit SSK-CIM (RIS-CIM-TSSK). By leveraging RIS, the system adapts rapidly to dynamic environments, enhancing error rates and overall reliability. SSK facilitates the transmission of additional passive information while eliminating the need for multiple radio frequency (RF) chains, thereby reducing complexity. CIM enhances passive information transmission through frequency domain spreading, which may increase signal obfuscation. This proposed scheme not only improves energy efficiency but also offers a robust solution for reliable communication in modern wireless networks, paving the way for smarter and more adaptable implementations. We consider a suboptimal, low-complexity detector for the proposed scheme and also address the blind case for phase adjustment of the RIS. Finally, we present the simulation results for the proposed system model across various configurations, including different numbers of receive and transmit antennas, varying reflecting elements of the RIS, and different code lengths.
Ferhat Bayar, Onur Salan, Erdogan Aydin, Haci Ilhan
PIMRC1
2024 Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation
abstract
Reconfigurable intelligent surface (RIS) structures reflect incident signals by adjusting phase adaptively according to the channel condition during transmission to increase signal quality at the receiver. Spatial modulation (SM) technique is a potential candidate for future energy-efficient wireless communications due to its ability to provide better throughput, low-cost implementation, and good error performance. Also, Alamouti's space-time block coding (ASBC) is an important space and time coding technique for the diversity gain and simplified maximum likelihood (ML) detection. In this paper, we propose the RIS-assisted received spatial modulation (RSM) scheme with ASBC, namely RIS-RSM-ASBC, for next-generation wireless networks. The RIS in the proposed system model is separated into two parts, each used as an access point (AP) to transmit its Alamouti coded information while reflecting passive signals to the selected receive antenna. We design the optimal ML detector for the proposed RIS-RSM-ASBC scheme. Furthermore, we present the greedy detector (GD) to reduce the complexity of the ML detector. Extensive computer simulations are performed to corroborate theoretical derivations. The results show that the RIS-RSM-ASBC system is highly reliable and provides data rate enhancement compared to traditional RIS-assisted transmit SM (RIS-TSM), RIS-assisted transmit quadrature SM (RIS-TQSM), RIS-assisted received SM (RIS-RSM), RIS-assisted transmit space shift keying with ASBC (RIS-TSSK-ASBC), and RIS-assisted TSSK with Vertical-Bell Laboratories Layered Space-Time (RIS-TSSK-VBLAST) schemes.
Ferhat Bayar, Onur Salan, Haci Ilhan, Erdogan Aydin
IEEE Trans. Mob. Comput.1