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Furuzan Atay Onat
Researcher at Carleton University
Publications - 29
Citations - 689
Furuzan Atay Onat is an academic researcher from Carleton University. The author has contributed to research in topics: Relay & Wireless network. The author has an hindex of 12, co-authored 28 publications receiving 676 citations. Previous affiliations of Furuzan Atay Onat include TOBB University of Economics and Technology & University of Paderborn.
Papers
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Journal ArticleDOI
Threshold Selection for SNR-based Selective Digital Relaying in Cooperative Wireless Networks
Furuzan Atay Onat,Abdulkareem Adinoyi,Yijia Fan,Halim Yanikomeroglu,John Thompson,Ian Marsland +5 more
TL;DR: By studying the performance under different models, it is shown that knowledge of the instantaneous source-destination SNR at the relay can be exploited and the e2e BER can be reduced significantly compared to simple digital relaying.
Journal ArticleDOI
Asymptotic BER analysis of threshold digital relaying schemes in cooperative wireless systems
TL;DR: It is shown that, as the average link signal-to-noise ratios (SNR) are increased simultaneously, the optimal threshold that minimizes the e2e BER increases as log(SNR), and any threshold of the form log(cSNR, where c is a positive constant, achieves the same order of e2E BER as the one achieved by the optimal thresholds.
Proceedings ArticleDOI
Efficient Cooperative Diversity Schemes and Radio Resource Allocation for IEEE 802.16j
TL;DR: A user scheduling and radio resource allocation technique is developed in order to efficiently integrate various cooperative diversity schemes for the emerging IEEE 802.16j based systems and shows that a simple cooperative diversity scheme which dynamically selects the best scheme between conventional relaying and direct transmission is promising.
Journal ArticleDOI
Fast track article: Generating random graphs for the simulation of wireless ad hoc, actuator, sensor, and internet networks
TL;DR: This article is an initial study on how constrained connected random unit graphs (C-CRUG) can be generated by fast algorithms and what kind of desirable characteristics can be achieved compared to completely random graphs, especially for sparse node densities.
Proceedings ArticleDOI
Threshold Based Relay Selection in Cooperative Wireless Networks
TL;DR: The requirement that the exact/average SNRs of the source-relay links be known at the destination is eliminated using an appropriate SNR threshold and it is shown that it achieves full diversity order.