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Throughput Analysis for a Multi-User, Multi-Channel ALOHA Cognitive Radio System

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6 Author(s)
Xiaofan Li ; Key Lab. of Universal Wireless Commun. for the Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing, China ; Hui Liu ; Roy, S. ; Jianhua Zhang
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In this paper, we investigate a novel slotted ALOHA-based distributed access cognitive network in which a secondary user (SU) selects a random subset of channels for sensing, detects an idle (unused by licensed users) subset therein, and transmits in any one of those detected idle channels. First, we derive a range for the number of channels to be sensed per SU access. Then, the analytical average system throughput is attained for cases where the number of idle channels is a random variable. Based on that, a relationship between the average system throughput and the number of sensing channels is attained. Subsequently, a joint optimization problem is formulated in order to maximize average system throughput. The analytical results are validated by substantial simulations.

Published in:

Wireless Communications, IEEE Transactions on  (Volume:11 ,  Issue: 11 )

Date of Publication:

November 2012

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