D-GRACE: Discounted Spectrum Price Game-Based Resource Allocation in a Competitive Environment for TVWS Networks

Kelechi, Anabi Hilary; Abdullah, Nor Fadzilah; Nordin, Rosdiadee; Ismail, Mahamod

doi:10.1109/access.2017.2779598

Cited by 2 publications

(1 citation statement)

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“…These findings of spectrum underutilization and inefficiency of use raise concerns about the static spectrum allocation strategy, which may no more be the choice for state-of-the-art wireless technologies. For instance, the so-called television white space (TVWS) concept is seen as a key enabler for radio regulators to invest in such a secondary spectrum market [3][4][5].…”

Section: Introductionmentioning

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: Introductionmentioning

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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A New Bargaining Game-Based Unlicensed Spectrum Sharing Scheme for TVWS Platform

Kim

2021

IEEE Access

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The rapid boosting in the Internet-of-Things (IoT) paradigm and the scarcity of available spectrum resources have hindered the improvement of capacity in 5G wireless network systems. Therefore, it is necessary to discover an appropriate spectrum sharing technology by exploiting unlicensed spectrum bands. In this study, we design a new unlicensed spectrum sharing algorithm in the television white space (TVWS) platform. According to the cooperative bargaining game theory, our proposed algorithm explores the mutual benefits to achieve a reciprocal consensus for different data application services. In a sequentially iterative manner, our game based approach adaptively makes control decisions for the TVWS spectrum sharing problem. Based on the novel bargaining solution and well-known rationing rules, we compromise the conflicting views of IoT devices while leveraging a cooperative agreement for their services. Finally, numerical simulation results show that our proposed algorithm provides a very effective tradeoff between the spectrum efficiency and service fairness compared with the existing TVWS spectrum sharing protocols.

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D-GRACE: Discounted Spectrum Price Game-Based Resource Allocation in a Competitive Environment for TVWS Networks

Cited by 2 publications

References 34 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 New Bargaining Game-Based Unlicensed Spectrum Sharing Scheme for TVWS Platform

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