• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Efficient Resource Allocation with Multiple Practical Constraints in OFDM-based Cooperative Cognitive Radio Networks

Vol. 8, No. 7, July 28, 2014
10.3837/tiis.2014.07.008, Download Paper (Free):

Abstract

This paper addresses the problem of resource allocation in amplify-and-forward (AF) relayed OFDM based cognitive radio networks (CRNs). The purpose of resource allocation is to maximize the overall throughput, while satisfying the constraints on the individual power and the interference induced to the primary users (PUs). Additionally, different from the conventional resource allocation problem, the rate-guarantee constraints of the subcarriers are considered. We formulate the problem as a mixed integer programming task and adopt the dual decomposition technique to obtain an asymptotically optimal power allocation, subcarrier pairing and relay selection. Moreover, we further design a suboptimal algorithm that sacrifices little on performance but could significantly reduce computational complexity. Numerical simulation results confirm the optimality of the proposed algorithms and demonstrate the impact of the different constraints.


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Cite this article

[IEEE Style]
X. Yang, W. Tang and W. Guo, "Efficient Resource Allocation with Multiple Practical Constraints in OFDM-based Cooperative Cognitive Radio Networks," KSII Transactions on Internet and Information Systems, vol. 8, no. 7, pp. 2350-2364, 2014. DOI: 10.3837/tiis.2014.07.008.

[ACM Style]
Xuezhou Yang, Wei Tang, and Wei Guo. 2014. Efficient Resource Allocation with Multiple Practical Constraints in OFDM-based Cooperative Cognitive Radio Networks. KSII Transactions on Internet and Information Systems, 8, 7, (2014), 2350-2364. DOI: 10.3837/tiis.2014.07.008.