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Type: Artigo
Title: An Adaptive Transmission Scheme For Cognitive Decode-and-forward Relaying Networks: Half Duplex, Full Duplex, Or No Cooperation
Author: Benitez Olivo
Edgar Eduardo; Moya Osorio
Diana Pamela; Alves
Hirley; Silveira Santos Filho
Jose Candido; Latva-Aho
Abstract: We propose an adaptive transmission scheme for cognitive decode-and-forward relaying networks, whereby, before each communication process, one out of three transmission modes is dynamically selected in order to maximize the instantaneous capacity of the system, namely, half-duplex (HD) relaying, full-duplex (FD) relaying, or direct transmission with no cooperation. The following key issues, relevant to underlay spectrum sharing and cooperative relaying, are considered: 1) the overall transmit power at the secondary network is constrained by both the maximum tolerable interference at the primary receiver and the maximum transmit power available at the secondary nodes; 2) under FD operation, the secondary relay is subject to residual self-interference, which is modeled as a fading channel; and 3) the signals coming from the secondary source and relay are handled at the secondary destination via maximal-ratio combining, in the HD relaying mode, and via a joint-decoding technique, in the FD relaying mode. We derive an exact analytical expression for the outage probability of the proposed scheme. Then, an approximate closed-form expression is proposed, and a corresponding asymptotic expression is derived. Monte Carlo simulations are run to validate the accuracy of the presented mathematical analysis and to showcase the tightness of the proposed approximation.
Subject: Cognitive Radio
Cooperative Diversity
Full-duplex Relaying
Half-duplex Relaying
Outage Probability
Underlay Spectrum Sharing
Editor: IEEE-Inst Electrical Electronics Engineers Inc
Citation: Ieee Transactions On Wireless Communications. Ieee-inst Electrical Electronics Engineers Inc, v. 15, p. 5586 - 5602, 2016.
Rights: fechado
Identifier DOI: 10.1109/TWC.2016.2562109
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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