Title | Adaptive Multi-Channel Spectrum Sensing Throughput Tradeoff |
Authors | Feng, Yan Song, Lingyang Jiao, Bingli |
Affiliation | Peking Univ, Sch Elect Engn & Comp Sci, State Key Lab Adv Opt Commun Syst & Networks, Beijing 100871, Peoples R China. |
Keywords | Cognitive radio adaptive sensing throughput tradeoff COGNITIVE RADIO NETWORKS |
Issue Date | 2012 |
Citation | 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (IEEE ICCS 2012).. |
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. |
URI | http://hdl.handle.net/20.500.11897/292781 |
DOI | 10.1109/ICCS.2012.6406148 |
Indexed | EI CPCI-S(ISTP) |
Appears in Collections: | 信息科学技术学院 区域光纤通信网与新型光通信系统国家重点实验室 |