Multi-Objective Optimization of Joint Power and Admission Control in Cognitive Radio Networks Using Enhanced Swarm Intelligence
نویسندگان
چکیده
The problem of joint power and admission control (JPAC) is a critical issue encountered in underlay cognitive radio networks (CRNs). Moving forward towards the realization Fifth Generation (5G) beyond, where optimization envisioned to take place multiple performance dimensions, it crucially desirable achieve high sum throughput with low consumption. In this work, multi-objective JPAC that jointly maximizes minimizes consumption CRNs formulated. An enhanced swarm intelligence algorithm has been developed by hybridizing two new Particle Swarm Optimization (PSO) variants, namely two-phase PSO (TPPSO) diversity global position binary (DGP-BPSO) variants employed optimize problem. terms convergence speed stability, while optimizing both consumption, investigated under three different operational scenarios defined their single objective priorities, which translate preferences. Simulation results have proven effectiveness achieving when network includes an arbitrary number primary secondary users. Comparing hybrid SPSO approach proposed approach, scheme shown its increasing 7%, 16%, 31% multimedia, balanced saving scenarios, respectively. addition, more efficient as can provide additional savings 3.58 W, 2.48 1.6741 W aforementioned
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ژورنال
عنوان ژورنال: Electronics
سال: 2021
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics10020189