Optimal Entropy-Based Cooperative Spectrum Sensing for Maritime Cognitive Radio Networks

Entropy

Waleed Ejaz¹  Ghalib A. Shah²  Najam ul Hasan¹ 

[1] Department of Information & Communication Engineering, Sejong University, Seoul 143-747, Korea; E-Mails:;Al-Khawarizmi Institute of Computer Science, University of Engineering and Technology, Lahore 54890, Pakistan; E-Mail:

关键词: cognitive radio network;    maritime communication;    spectrum sensing;    cooperative detection;   

DOI  :  10.3390/e15114993

来源: mdpi

【 摘 要 】

Maritime cognitive radio networks (MCRNs) have recently been proposed for opportunistic utilization of the licensed band. Spectrum sensing is one of the key issues for the successful deployment of the MCRNs. The maritime environment is unique in terms of radio wave propagation over water, surface reflection and wave occlusions. In order to deal with the challenging maritime environment, we proposed an optimal entropy-based cooperative spectrum sensing. As the results of spectrum sensing are sensitive to the number of samples in an entropy-based local detection scheme, we first calculated the optimal number of samples. Next, a cooperative spectrum sensing scheme considering the conditions of the sea environment is proposed. Finally, the throughput optimization of the m-out-of-n rule is considered. Results revealed that although the existing schemes work well for the lower sea states, they fail to perform at higher sea states. Moreover, simulation results also indicated the robustness of the entropy-based scheme and the proposed cooperative spectrum sensing scheme at higher sea states in comparison with the traditional energy detector.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.