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Optimal user selection for decision making in cooperative sensing

A. Rashid, Rozeha and A. Hamid, A. Hadi Fikri and Fisa, N. and Sarijari, M. Adib and A. Rahim, Rozaini and Mohd, Alias (2012) Optimal user selection for decision making in cooperative sensing. In: 2012 IEEE Symposium on Wireless Technology & Applications (ISWTA 2012), 23-26 Sept 2012, Hyatt Regency Bandung Hotel Bandung, Indonesia.

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Abstract

In enabling spectrum-aware communication protocol of cognitive radio (CR), spectrum sensing becomes the key technology for unlicensed or cognitive users (CUs) to exploit the unused spectrum of primary users (PUs) via opportunistic spectrum access (OSA). A longer sensing time will result in a higher detection probability and hence, a better protection for the PU. However, in a fixed frame size, this leads to reduced data transmission time and hence, decreases the achievable throughput of CUs. In this paper, particle swarm optimization (PSO) formulation is proposed to address this sensingthroughput tradeoff under distributed cooperative sensing scenario using hard combining fusion schemes to determine the presence of PUs. The objective is to optimize the sensing time and achieve maximized throughput for CUs while sufficiently protecting the PUs. The findings show that jointly optimizing the sensing time and the parameter k of k-out-of-N rule outperforms other optimized fusion schemes of OR, AND and Half-Voting significantly in terms of achievable throughput and reliability.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Signal to noise ratio, wireless communication, wireless sensor networks
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:34162
Deposited By: Liza Porijo
Deposited On:09 Aug 2017 03:10
Last Modified:22 Aug 2017 06:57

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