Name
Title | ||
|---|---|---|
Optimal entropy-based spectrum sensing for cognitive radio networks under severe path loss conditions |
Abstract | ||
|---|---|---|
Recently maritime cognitive radio network is proposed to provide high bandwidth and low communication cost for maritime users. Spectrum sensing is one of the key issues to develop cognitive radio networks. Radio propagation is one of the main differences between maritime and land environment. Traditional detectors such as matched filter, energy detector and cyclostationary detector are not robust under low signal-to-noise ratio and at high sea state conditions. To deal with maritime environmental challenges, an entropy-based spectrum sensing scheme with the optimal number of samples is presented in this paper. Since spectrum sensing is sensitive to the number of samples, the optimal number of samples has been introduced in the proposed scheme to get minimum sensing time and maximum detection probability. Results reveal that existing scheme works well for the lower sea states but failed to perform at higher sea states. Moreover, simulation results show that the entropy-based scheme is robust at higher sea states in comparison with the traditional energy detector. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CROWNCom.2013.6636800 | Cognitive Radio Oriented Wireless Networks |
Keywords | Field | DocType |
cognitive radio,entropy,marine communication,probability,radio spectrum management,radiowave propagation,communication cost,energy detector,entropy-based scheme,entropy-based spectrum sensing scheme,high sea state conditions,land environment,maritime cognitive radio network,maritime environment,maximum detection probability,minimum sensing time,optimal entropy-based spectrum sensing,radio propagation,severe path loss conditions,signal-to-noise ratio,Cognitive radio network,Maritime communication,cooperative detection,spectrum sensing | Electronic engineering,Path loss,Bandwidth (signal processing),Matched filter,Detector,Geography,Radio propagation,Sea state,Cyclostationary process,Cognitive radio | Conference |
Citations | PageRank | References |
2 | 0.39 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Waleed Ejaz | 1 | 278 | 34.18 |
| Mahin K. Atiq | 2 | 2 | 0.39 |
| Hyung Seok Kim | 3 | 544 | 56.03 |
| Ghalib A. Shah | 4 | 291 | 20.85 |