Abstract
An optimal joint sensing threshold and sub-band power allocation is proposed for multi-channel cognitive radio (CR) system by formulating a mixed-variable optimization problem to maximize the total throughput of the CR while constraining the total interference to the PU, the total power of the CR, and the probabilities of false alarm and detection of each sub-channel. Based on the bi-level optimization method, the proposed optimization problem is divided into two single-variable convex optimization sub-problems: the upper level for threshold optimization and the lower level for power optimization. The simulation results show that the proposed joint optimization can achieve desirable improvement on the throughput with different sub-channel gains.
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References
Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Person. Communication 6(4), 13–18 (1999)
Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 23(2), 201–220 (2005)
Urkowitz, H.: Energy detection of unknown deterministic signals. Proceedings of the IEEE 55(4), 523–531 (1967)
Zhang, S.Q., Wu, T.Y., Vincent, K.N.: A low-overhead energy detection based cooperative sensing protocol for cognitive radio systems. IEEE Transactions on Wireless Communications 8(11), 5575–5581 (2009)
Quan, Z., Cui, S., Sayed, A.H., Poor, H.V.: Optimal multiband joint detection for spectrum sensing in cognitive radio networks. IEEE Trans. Signal Process. 57(3), 1128–1140 (2009)
Quan, Z., Cui, S., Sayed, A.H., Poor, H.V.: Wideband Spectrum Sensing in Cognitive Radio Networks. In: IEEE International Conference on Communications (ICC), Beijing, China, pp. 901–906 (May 2008)
Liu, X., Tan, X.Z.: Optimization for weighed cooperative spectrum sensing in cognitive radio network. Applied Computational Electromagnetics Society Journal 26(10), 800–814 (2011)
Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge Univ. Press, Cambridge (2003)
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Liu, X., Bi, G., Lin, R., Guan, Y.L. (2013). Optimal Joint Sensing Threshold and Sub-channel Power Allocation in Multi-channel Cognitive Radio. In: Tsaoussidis, V., Kassler, A.J., Koucheryavy, Y., Mellouk, A. (eds) Wired/Wireless Internet Communication. WWIC 2013. Lecture Notes in Computer Science, vol 7889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38401-1_20
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DOI: https://doi.org/10.1007/978-3-642-38401-1_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38400-4
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