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Machine Intelligence Research
Published in: International Journal of Automation and Computing 4/2014

01-08-2014 | Regular paper

Distributed Power Control in Cooperative Cognitive Ad hoc Networks

Authors: Wen-Jiang Feng, Rong Jiang, Guo-Ling Liu

Published in: Machine Intelligence Research | Issue 4/2014

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Abstract

In this paper, a relay selection strategy and distributed power control algorithm are proposed for the underlay spectrum sharing mode based cooperative cognitive ad hoc network with energy-limited users. The study aims to minimize the total power consumption of cooperative cognitive ad hoc network while ensuring the quality of service (QoS) requirement of cognitive user and keeping the interference to primary user below interference tolerance. The power control problem is transformed into a convex optimization problem. Based on Lagrange dual decomposition theory, a gradient iterative algorithm is constructed to search for the optimal solution and complete distributed power optimization. Simulation results show that the algorithm converges fast and reduces transmit power of cognitive users effectively while guaranteeing the QoS requirement.
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Literature
[1]
J. Mitola, G. Q. Maguire Jr. Cognitive radio: Making software radios more personal. IEEE Personal Communications, vol. 6, no. 4, pp. 13–18, 1999.CrossRef
[2]
T. M. Cover, A. A. El Gamal. Capacity theorems for the relay channel. IEEE Transactions on Information Theory, vol. 25, no. 5, pp. 572–584, 1979.CrossRefMATH
[3]
X. X. Liu, B. Y. Zheng, W. Ji. Cooperative relay with power control in cognitive radio networks. In Proceedings of the 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), IEEE, Chengdu, China, pp. 1–5, 2010.
[4]
E. DallAnese, S. J. Kim, G. B. Giannakis, S. Pupolin. Power control for cognitive radio networks under channel uncertainty. IEEE Transactions on Wireless Communications, vol. 10, no. 10, pp. 3541–3551, 2011.CrossRef
[5]
L. Y. Li, X. W. Zhou, H. B. Xu, G. Y. Li, D. D. Wang, A. Soong. Simplified relay selection and power allocation in cooperative cognitive radio systems. IEEE Transactions on Wireless Communications, vol. 10, no. 1, pp. 33–36, 2011.CrossRef
[6]
W. Liu, H. Hu, Y. H. Hu, H. Tang, S. Ci. Power control for relay-assisted cognitive radio networks-Part I: Centralized scenario. In Proceedings of the 8th Annual IEEE Consumer Communications and Networking Conference (CCNC), IEEE, Las Vegas, NV, USA, pp. 1098–1102, 2011.
[7]
W. Liu, Y. H. Hu, S. Ci, H. Tang. Power control for relay-assisted cognitive radio networks-Part II: Distributed scenario. In Proceedings of 2011 IEEE 73rd Vehicular Technology Conference (VTC 2011-Spring), IEEE, Budapest, Hungary, pp. 1–5, 2011.
[8]
S. Q. Sun, J. X. Di, W. M. Ni. Distributed power control based on convex optimization in cognitive radio networks. In Proceedings of 2010 International Conference on Wireless Communications and Signal Processing (WCSP), IEEE, Suzhou, China, pp. 1–6, 2010.
[9]
D. Li, X. N. Dai. Power control in cooperative cognitive radio networks by geometric programming. In Proceedings of the 15th Asia-Pacific Conference on Communications (APCC), IEEE, Shanghai, China, pp. 118–121, 2009.
[10]
C. Maji, S. P. Maity, T. Acharya. Optimal power allocation in relay-based CR system with enhanced network lifetime. In Proceedings of 2012 International Symposium on Wireless Communication Systems (ISWCS), IEEE, Paris, France, pp. 761–765, 2012.
[11]
N. Movahhedinia, A. Tizghadam, A. Leon-Garcia. A robust power control method for cognitive radio networks. In Proceedings of 2010 IEEE GLOBECOM Workshops (GC Wkshps), IEEE, Miami, USA, pp. 773–777, 2010.
[12]
G. Y. Shi, J. L. Dong. Optimization Method, Beijng, China: Higher Education Press, 2000.
[13]
D. P. Palomar, M. Chiang. A tutorial on decomposition methods for network utility maximization. IEEE Journal on Selected Areas in Communications, vol. 24, no. 8, pp. 1439–1451, 2006.CrossRef
[14]
D. P. Palomar, M. Chiang. Alternative distributed algorithms for network utility maximization: Framework and applications. IEEE Transactions on Automatic Control, vol. 52, no. 12, pp. 2254–2269, 2007.CrossRefMathSciNet
[15]
M. Chiang. Geometric Programming for Communication Systems, Hanover, MA, USA: Now Publishers Inc., 2005.MATH
Metadata
Title
Distributed Power Control in Cooperative Cognitive Ad hoc Networks
Authors
Wen-Jiang Feng
Rong Jiang
Guo-Ling Liu
Publication date
01-08-2014
Publisher
Springer-Verlag
Published in
Machine Intelligence Research / Issue 4/2014
Print ISSN: 2731-538X
Electronic ISSN: 2731-5398
DOI
https://doi.org/10.1007/s11633-014-0807-4

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