Open AccessAn adaptive global optimization algorithm of cooperative spectrum sensing with relay
Author(s) -
Qian Zhang,
Liu Guang-Bin,
Zhiyong Yu,
Guo Jin-Ku
Publication year - 2015
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.64.018404
Subject(s) - relay , computer science , cognitive radio , channel (broadcasting) , throughput , transmission (telecommunications) , interference (communication) , algorithm , relay channel , optimization problem , power (physics) , electronic engineering , telecommunications , wireless , engineering , physics , quantum mechanics
In this paper is carried out an investigation that the performance of the cooperative spectrum sensing with relay may be interfered by redundant relays, the number of busy cognitive users (CUs) and the secondary relay(SR), detection threshold and transmission error of the channel, so that a global adaptive optimization algorithm is proposed. In this algorithm, based on the maximum interference-free power relay selection (MIFPRS), the set of secondary relay is defined adaptively; and in order to reach a maximum of the probability of detection, the single cognitive user minimizes the transmission error of the channel and selects the relay from the set of secondary relays. To achieve the maximum of the total channel throughput under the given probability of detection, ale ues the entire adaptive optimization algorithm. Numerical simulations demonstrate that the proposed algorithm has a high degree of channel transmission precision, and a large amount of channel throughput, so as to spend less frequency band.