Optimal Spectrum Access for Users in Multi-Channel Cognitive Radio Networks | Zendy

Vivek Agrawal | Zendy; Utkarsh Tiwari | Zendy; Vishal Agarwal | Zendy; P. Venkateswaran | Zendy

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Optimal Spectrum Access for Users in Multi-Channel Cognitive Radio Networks

Author(s) -

Vivek Agrawal,

Utkarsh Tiwari,

Vishal Agarwal,

P. Venkateswaran

Publication year - 2013

Publication title -

international journal of wireless and microwave technologies

Language(s) - English

Resource type - Journals

eISSN - 2076-9539

pISSN - 2076-1449

DOI - 10.5815/ijwmt.2013.01.02

Subject(s) - cognitive radio , computer science , throughput , simulated annealing , channel (broadcasting) , tabu search , heuristic , computer network , spectrum (functional analysis) , wireless , telecommunications , algorithm , artificial intelligence , physics , quantum mechanics

Cognitive Radio, a software defined radio, is an emerging technology which uses opportunistic spectrum access (OSA) for the efficient utilization of the spectrum. Its main aim is to utilize the unused portions of the spectrum by allowing unlicensed users (secondary users) to transmit data in absence of primary users. In this paper the assignment of multiple primary and secondary users in a multiple channel system is addressed with the sole aim of optimizing the total throughput. We have considered an optimal spectrum access (OSA) algorithm for the allotment of both the primary and secondary users in a multiple channel system and compared the results with the well-known meta-heuristic techniques such as Simulated Annealing (SA) and Tabu Search (TS). The results reveal that OSA algorithm is more efficient as compared to SA and TS as far as throughput optimization is considered

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