Open AccessA novel spectrum detecting algorithm for cognitive radio based on the characteristics of authorized channel
Author(s) -
Yun Liu,
Qicong Peng,
Shao Huai-Zong,
Qihang Peng,
Ling Wang
Publication year - 2013
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.62.078406
Subject(s) - cognitive radio , computer science , collision , schedule , throughput , scheduling (production processes) , interference (communication) , algorithm , channel (broadcasting) , energy consumption , stability (learning theory) , real time computing , computer network , wireless , telecommunications , mathematical optimization , computer security , mathematics , machine learning , operating system , ecology , biology
In a cognitive radio (CR) network, the system throughput and the probability of collision between primary users (PUs) and CR users are directly influenced by the frequency of spectrum sensing. This paper focuses on adaptively scheduling spectrum sensing such that negative impacts to the performance of the CR network are minimized. Based on an in-depth analysis into the spectral usage patterns of PUs, an adaptive spectrum detecting algorithm is proposed. By introducing a "control factor", the proposed algorithm can adaptively schedule the spectrum sensing, while maintaining the CR system stability, so as to increase spectral utilization efficiency, as well as reducing the probability of collision between PUs and CR users. Therefore, the energy consumption of the CR system is reduced. Simulations show that the proposed algorithm can effectively increase the system throughput, with minimal interference to primary users while ensuring the system stability. Meanwhile, it is shown that the proposed algorithm has low implementation complexity for practical applications.