Spectrum Sensing and Data Transmission in a Cognitive Relay Network Considering Spatial False Alarms
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In this paper, the average probability of the symbol error rate (SER) andthroughput are studied in the presence of joint spectrum sensing and data transmissionin a cognitive relay network, which is in the environment of an optimal power allocationstrategy. In this investigation, the main component in calculating the secondarythroughput is the inclusion of the spatial false alarms, in addition to the conventionalfalse alarms. It has been shown that there exists an optimal secondary poweramplification factor at which the probability of SER has a minimum value, whereas thethroughput has a maximum value. We performed a Monte-Carlo simulation to validatethe analytical results.
Abstract
In this paper, the average probability of the symbol error rate (SER) andthroughput are studied in the presence of joint spectrum sensing and data transmissionin a cognitive relay network, which is in the environment of an optimal power allocationstrategy. In this investigation, the main component in calculating the secondarythroughput is the inclusion of the spatial false alarms, in addition to the conventionalfalse alarms. It has been shown that there exists an optimal secondary poweramplification factor at which the probability of SER has a minimum value, whereas thethroughput has a maximum value. We performed a Monte-Carlo simulation to validatethe analytical results.
참고문헌 (15)
- I. F. Akyildiz, "CRAHNs : cognitive radio ad hoc networks", Ad Hoc Networks, 7(5), pp.810~836 (2009)
- S. Haykin, "Cognitive radio : brain-empowered wireless communications", IEEE Journal on Selected Areas in Communications, 23(2), pp.201~220 (2005)
- I. F. Akyildiz, "NeXt generation", dynamic spectrum access, Computer Networks, pp.2006, 50(13)[DOI]
- S. Haykin, "Spectrum sensing for cognitive radio", Proceedings of the IEEE, 97(5), pp.849~877 (2009)
- J. Mitola III, "Cognitive radio: an integrated agent architecture for software defined radio", 박사, pp.2000
- J. Mitola III, "Cognitive radio : making software radios more personal", IEEE Personal Communications, 6(4), pp.13~18 (1999)
- T. Yucek, "A survey of spectrum sensing algorithms for cognitive radio applications", IEEE Communications Surveys & Tutorials, 11(1), pp.116~130 (2009)
- S. Huang, "Optimal power allocation for spectrum sensing and data transmission in cognitive relay networks", IEEE Wireless Communications Letters, 1(1), pp.26~29 (2012)
- W. Han, "Spatial false alarms in cognitive radio", IEEE Communications Letters, 15(5), pp.518~520 (2011)
- Y. C. Liang, "Sensing-throughput tradeoff for cognitive radio networks", IEEE Transactions on Wireless Communications, 7(4), pp.1326~1337 (2008)
- A. Ghasemi, "Optimization of spectrum sensing for opportunistic spectrum access in cognitive radio networks", Proceedings of the 4th IEEE Consumer Communications and Networking Conference, pp.1022~1026 (2007)
- J. Shen, "Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks", IEEE Transactions on Wireless Communications, 8(10), pp.5166~5175 (2009)
- E. Peh, "Optimization for cooperative sensing in cognitive radio networks", Proceedings of the IEEE Wireless Communications and Networking Conference, pp.27~32 (2007)
- M. K. Simon, "Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis" (2000), John Wiley & Sons
- S. S. Haykin, "Modern Wireless Communications", pp.2005, Pearson