Spectrum Hole Identification in IEEE 802.22 WRAN using Unsupervised Learning

Balaji, V. and Anand, S. and Hota, C.R. and Raghurama, G. (2016) Spectrum Hole Identification in IEEE 802.22 WRAN using Unsupervised Learning. EAI Endorsed Transactions on Wireless Spectrum.

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Abstract

In this paper we present a Cooperative Spectrum Sensing (CSS) algorithm for Cognitive Radios (CR) based on IEEE 802.22Wireless Regional Area Network (WRAN) standard. The core objective is to improve cooperative sensing efficiency which specifies how fast a decision can be reached in each round of co

Item Type: Article
Date Deposited: 04 Mar 2026 10:39
Last Modified: 12 Apr 2026 10:06
URI: http://eprints.eai.eu/id/eprint/14059

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