Title :
Adaptive multi-channel spectrum sensing throughput tradeoff
Author :
Yan Feng ; Lingyang Song ; Bingli Jiao
Author_Institution :
State Key Lab. of Adv. Opt. Commun. Syst. & Networks, Peking Univ., Beijing, China
Abstract :
In this paper, the throughput tradeoff in adaptive multi-channel spectrum sensing procedure is studied. Considering the total sensing-transmission time constraint, we design the optimal sampling resource allocation scheme to maximize the throughput of secondary users while keeping a pre-defined overall miss detection probability for each channel. Through the multi-stage exploration of potential holes, the limited sampling budget can be focused on more promising spectrum segment to detect the sparsely located holes. Simulation results show that significant gains in the throughput of the secondary users are achieved through jointly optimizing the resource allocation factor and number of iterations in channel exploration.
Keywords :
cognitive radio; iterative methods; probability; resource allocation; adaptive multichannel spectrum sensing; channel exploration; iterations; multistage exploration; optimal sampling resource allocation; potential holes; pre-defined overall miss detection probability; secondary users; sparsely located holes; spectrum segment; throughput tradeoff; total sensing-transmission time constraint; Cognitive radio; Optimization; Resource management; Sensors; Signal to noise ratio; Throughput; Wideband; Cognitive radio; adaptive sensing; throughput tradeoff;
Conference_Titel :
Communication Systems (ICCS), 2012 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-2052-8
DOI :
10.1109/ICCS.2012.6406148