An Improved Power Control AFSA for Minimum Interference to Primary Users in Cognitive Radio Networks

Zhao, Xiaohui

doi:10.1007/s11277-015-3043-5

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Ref. [40] developed an improved artificial fish swarm algorithm (IAFSA) in order to control the power of SUs so that the interference at the PU is minimized. Moreover, the algorithm is used to minimize the total power of SUs.…”

Section: Joint Power and Admission Controlmentioning

confidence: 99%

Multi-Objective Optimization of Joint Power and Admission Control in Cognitive Radio Networks Using Enhanced Swarm Intelligence

et al. 2021

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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 of Fifth Generation (5G) and beyond, where optimization is envisioned to take place in multiple performance dimensions, it is crucially desirable to achieve high sum throughput with low power consumption. In this work, a multi-objective JPAC optimization problem that jointly maximizes the sum throughput and minimizes power consumption in underlay CRNs is formulated. An enhanced swarm intelligence algorithm has been developed by hybridizing two new enhanced Particle Swarm Optimization (PSO) variants, namely two-phase PSO (TPPSO) and diversity global position binary PSO (DGP-BPSO) variants employed to optimize the multi-objective JPAC problem. The performance of the enhanced swarm intelligence algorithm in terms of convergence speed and stability, while optimizing both the sum throughput and power consumption, is investigated under three different operational scenarios defined by their single objective priorities, which translate to sum throughput and power consumption preferences. Simulation results have proven the effectiveness of the enhanced swarm intelligence algorithm in achieving high sum throughput and low power consumption under the three operational scenarios when the network includes an arbitrary number of primary and secondary users. Comparing the hybrid SPSO approach and the proposed approach, the proposed scheme has shown its effectiveness in increasing the sum throughput to 7%, 16%, and 31% under the multimedia, balanced and power saving operational scenarios, respectively. In addition, the proposed approach is more power efficient as it can provide additional power savings of 3.58 W, 2.48 W, and 1.6741 W under the aforementioned operational scenarios, respectively.

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Section: Joint Power and Admission Controlmentioning

confidence: 99%

Multi-Objective Optimization of Joint Power and Admission Control in Cognitive Radio Networks Using Enhanced Swarm Intelligence

et al. 2021

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“…Index Terms-cognitive radio networks, robust distributed power control (RDPC), worst case condition INTRODUCTION Cognitive radio (CR) is one of the most promising technologies for future wireless communications [1][2] to resolve the limited radio spectrum resource shortage problem [3]. In underlay cognitive radio networks (CRNs) [4], secondary users (SUs) can share the frequency spectrum with primary users (PUs) and ensure the PU of the quality of service, simultaneously.…”

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confidence: 99%

A Robust Distributed Power Control Algorithm for Minimum Interference to Primary Users in Underlay Cognitive Radio Networks

Zhao

Sun

et al. 2016

Int. J. Onl. Eng.

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Abstract-A robust distributed optimal power control (RDPC) scheme under worst case condition is proposed to make primary users (PUs) receive minimum interference generated from all secondary users (SUs) in underlay cognitive radio networks (CRNs). The strategy considers the transmit power of each SU below the maximum allowable power of the devices and interference plus noise ratio (SINR) of each SU under the minimum threshold. Simulation illustrate thatthe RDPC can lead SUs to reduce the interference to PUs, and simultaneously the better meet quality of service (QoS) requirement of SUs in comparison with the distributed power control algorithm (DPC) and the traditional iterative water filling algorithm (IWFA) in timevarying channel environment.Index Terms-cognitive radio networks, robust distributed power control (RDPC), worst case condition

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A review of artificial fish swarm algorithms: recent advances and applications

et al. 2022

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An Improved Power Control AFSA for Minimum Interference to Primary Users in Cognitive Radio Networks

Cited by 6 publications

References 20 publications

Multi-Objective Optimization of Joint Power and Admission Control in Cognitive Radio Networks Using Enhanced Swarm Intelligence

Multi-Objective Optimization of Joint Power and Admission Control in Cognitive Radio Networks Using Enhanced Swarm Intelligence

A Robust Distributed Power Control Algorithm for Minimum Interference to Primary Users in Underlay Cognitive Radio Networks

A review of artificial fish swarm algorithms: recent advances and applications

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