Spectrum Handoff in Cognitive Radio-Based Networks Using Artificial Neural Networks
Abstract
The Cognitive Radio (CR) technology aims at improving the spectral efficiency through the opportunistic access to the electromagnetic spectrum. The CR enables secondary users, which utilize unlicensed bands (e.g., 2.4GHz WiFi) to occupy licensed band (e.g., TV bands) without causing interference to the primary users. To this end, the efficient spectrum handoff is a critical requirement to be taken into account for the success of CR systems. This paper proposes and evaluates a proactive strategy based on Artificial Neural Networks for spectrum handoff in CR networks. The performance of the proposal regarding the inference level to the primary user, spectrum handoff number triggered by secondary user and spectral utilization is compared with that obtained by a reactive scheme. Differently from previous works, our study considers measured traces made available by IEEE Dyspan 2008 in order to evaluate our proposal. Numerical results show the superiority of the proposed scheme.
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