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Joint beamforming and user maximization techniques for cognitive radio networks based on branch and bound method

journal contribution
posted on 2011-10-05, 10:24 authored by Kanapathippillai Cumanan, Ranaji Krishna, Leila Musavian, Sangarapillai Lambotharan
We consider a network of cognitive users (also referred to as secondary users (SUs)) coexisting and sharing the spectrum with primary users (PUs) in an underlay cognitive radio network (CRN). Specifically, we consider a CRN wherein the number of SUs requesting channel access exceeds the number of available frequency bands and spatial modes. In such a setting, we propose a joint fast optimal resource allocation and beamforming algorithm to accommodate maximum possible number of SUs while satisfying quality of service (QoS) requirement for each admitted SU, transmit power limitation at the secondary network basestation (SNBS) and interference constraints imposed by the PUs. Recognizing that the original user maximization problem is a nondeterministic polynomial-time hard (NP), we use a mixed-integer programming framework to formulate the joint user maximization and beamforming problem. Subsequently, an optimal algorithm based on branch and bound (BnB) method has been proposed. In addition, we propose a suboptimal algorithm based on BnB method to reduce the complexity of the proposed algorithm. Specifically, the suboptimal algorithm has been developed based on the first feasible solution it achieves in the fast optimal BnB method. Simulation results have been provided to compare the performance of the optimal and suboptimal algorithms.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

CUMANAN, K., KRISHNA, R., MUSAVIAN, L. and LAMBOTHARAN, S., 2010. Joint beamforming and user maximization techniques for cognitive radio networks based on branch and bound method. IEEE Transactions on Wireless Communications, 9 (10), pp. 3082 - 3092.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2010

Notes

This item is Closed Access. This article was published in the journal, IEEE Transactions on Wireless Communications [© IEEE] and the definitive version is available at: http://dx.doi.org/10.1109/TWC.2010.072610.090898

ISSN

1536-1276

Language

  • en