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Cross‐layer optimization for full‐duplex cognitive radio network with cooperative spectrum sensing
Author(s) -
Li Haitao,
Liu Changjun
Publication year - 2018
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3895
Subject(s) - cognitive radio , computer science , transmitter power output , throughput , false alarm , wireless ad hoc network , physical layer , duplex (building) , computer network , optimization problem , pareto optimal , power optimization , fading , power (physics) , multi objective optimization , mathematical optimization , wireless , telecommunications , algorithm , channel (broadcasting) , power consumption , artificial intelligence , mathematics , dna , transmitter , physics , quantum mechanics , machine learning , biology , genetics
Summary In this paper, the cross‐layer optimal design of multihop ad hoc network employing full‐duplex cognitive radios (CRs) is investigated. Firstly, the analytical expressions of cooperative spectrum sensing performance for multihop CR networks over composite fading channels are derived. Then, the opportunistic throughput and transmit power of CRs are presented based on the derivation of false alarm and missed detection probability. Finally, a multiobjective optimization model is proposed to maximize the opportunistic throughputs and minimize the transmitting power. Simulation results indicate that Pareto optimal solution of sensing duration, decision threshold, and transmit power can be achieved by cross‐layer multiobjective optimization, it can balance the conflicts between different objective functions and reap the acceptable outcomes for multihop CR network.