Name
Abstract | ||
|---|---|---|
Cognitive radio network is defined as an intelligent wireless communication network that should be able to adaptively reconfigure its communication parameters to meet the demands of the transmission network or the user. In this context one possible way to utilize unused licensed spectrum without interfering with incumbent users is through spectrum sensing. Due to channel uncertainties, single cognitive (opportunistic) user cannot make a decision reliably and hence collaboration among multiple users is often required. Here collaboration among large number of users tends to increase power consumption and introduces large communication overheads. In this paper, the number of collaborating users is optimized in order to maximize the probability of detection for any given power budget in a cognitive radio network, while satisfying constraints on the false alarm probability. We show that for the maximum probability of detection, collaboration of only a subset of available opportunistic users is required. The robustness of our proposed spectrum sensing algorithm is also examined under flat Rayleigh fading and AWGN channel conditions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/WCNC.2012.6213924 | 2012 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) |
Keywords | Field | DocType |
energy efficient,signal to noise ratio,satisfiability,sensors,wireless communication,cognitive radio,probability,collaboration,awgn,rayleigh fading,cognitive radio network,spectrum,probability of detection,power budget | Power budget,Wireless,False alarm,Rayleigh fading,Efficient energy use,Computer science,Computer network,Communication channel,Robustness (computer science),Cognitive radio | Conference |
ISSN | Citations | PageRank |
1525-3511 | 3 | 0.43 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davood M. Godarzi | 1 | 3 | 0.43 |
| Kamran Arshad | 2 | 328 | 26.17 |
| Youngwook Ko | 3 | 80 | 13.71 |
| Klaus Moessner | 4 | 1077 | 112.48 |