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dc.contributor.authorRahman, Suryaia
dc.contributor.authorAlam, Md Zahangir
dc.contributor.authorIslam, Ashraful
dc.contributor.authorHabib, Md. Tarek
dc.contributor.authorAHMED, ESHTIAK
dc.contributor.authorHasan, Mahady
dc.contributor.authorAhmed, Tarem
dc.date.accessioned2023-11-14T07:59:23Z
dc.date.available2023-11-14T07:59:23Z
dc.date.issued2023-09
dc.identifier.urihttps://ar.iub.edu.bd/handle/123456789/645
dc.description.abstractA best relay selection algorithm for a cooperative multi-hop cross-layer single-input single-output (SISO) amplify-and-forward (AF) wireless relay network is analyzed in this work, with the application where exact channel state information (CSI) is known. We present algorithmic strategies to simplify a multihop parallel SISO relay network into a series multi-hop network by finding the best path having the maximum received signal-to-noise ratio (SNR). The best relay selection by using dynamic programming search entails high computations and large memory requirements, as well as involves the full CSI information, making this approach impractical for large-scale networks. The goal of the proposed low-cost near-optimal routing strategy in this work is to provide close to optimal performance with much less complexity compared to traditional routing. Next, we also propose a low-cost power allocation to further improve system performance over traditional power allocation found in the literature. Computer simulations show excellent performance improvement of our proposed methods in terms of bit error rate (BER) as well as outage probability over the traditional relaying and power allocation algorithms.en_US
dc.language.isoenen_US
dc.publisherJournal of King Saud University - Computer and Information Sciences, Q1en_US
dc.subjectAmplify-and-forward (AF)en_US
dc.subjectSelection relayingen_US
dc.subjectCooperative systemen_US
dc.subjectMulti-hop transmissionen_US
dc.subjectRayleigh fadingen_US
dc.subjectBest pathen_US
dc.titleLow-cost relay selection in multihop cooperative networksen_US
dc.typeArticleen_US


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  • 2023 [67]
    Research articles produced by the CSE department in the year 2023

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