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http://dx.doi.org/10.3837/tiis.2014.07.008

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

Yang, Xuezhou (National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China)
Tang, Wei (National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China)
Guo, Wei (National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.7, 2014 , pp. 2350-2364 More about this Journal
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.
Keywords
CRN; OFDM; AF; cooperative communication; joint resource allocation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 J. Jia, J. Zhang, Q. Zhang, "Cooperative relay for cognitive radio networks," in Proc. of 2009 IEEE Inforcom, pp. 2304-2312, 2009.
2 J. Miltola, G. Q. Maguire, "Cognitive radio: Making software radios more personal," IEEE Peronal Commun, vol. 6, no. 4, pp. 13-18, 1999.   DOI   ScienceOn
3 Daquan Feng, Chenzi Jiang, Gubong Lim, Cimini, L.J., Jr., Gang Feng, Li, G.Y, "A survey of energy-efficient wireless communications," IEEE Communications Surveys and Tutorials, vol. 15, no. 1, pp. 167-178, 2013.   DOI   ScienceOn
4 Fu. Yaru, Zhu. Qi, "A joint resource allocation scheme for relay enhanced multi-cell orthogonal frequency division multiple networks," KSII Transactions on Internet and Information Systems, vol. 7, no. 2, pp. 288-307, 2013.   DOI   ScienceOn
5 Tain-Sao Chang, Kai-Ten Feng, Jia-Shi Lin, Li-Chun Wang, "Green resource allocation Schemes for relay-enhanced MIMO-OFDM networks," IEEE Tran on VT, vol. 62, no. 9, pp. 4539-4554, 2013.
6 Lv. Linshu, Zhu. Qi, "Joint relay selection and resource allocation for cooperative OFDMA network," KSII Transactions on Internet and Information Systems, vol. 6, no. 11, pp. 3008-3025, 2013.
7 W. Yu and R. Lui, "Dual methods for nonconvex spectrum optimization of multicarrier systems," IEEE Trans. IEEE Trans on Communications., vol. 54, no. 7, pp. 1310-1322, 2006.   DOI   ScienceOn
8 S. Boyd and A. Mutapcic, Subgradient methods, notes for EE364, Standford University, 2006.
9 S. M. Almalfouh and G. L. Stuber, "Interference-aware radio resource allocation in OFDMA-based cognitive radio networks," IEEE Trans. on VT, vol. 60, no. 4, pp. 1699-1713, 2011.
10 Abdul-Ghafoor, Omar B, Ismail, Mahamod, Nordin, Rosdiadee, "Resource allocation in spectrum sharing ad-hoc cognitive radio networks based on game theory: an overview," KSII Transactions on Internet and Information Systems, vol. 7, no. 12, pp. 2957-2986, 2013.   DOI   ScienceOn
11 Ahmad Alsharoa, Faouzi Bader, Mohamed-Slim Alouini, "Relay selection and resource allocation for two-way DF-AF cognitive radio networks," IEEE Wireless Communication Letters, vol. 2, no. 4, pp. 427-430, 2013.   DOI   ScienceOn
12 Mengyao Ge, Shaowei Wang, "Fast optimal resource allocation is possible for multiuser OFDM-based cognitive radio networks with heterogeneous services," IEEE Trans. Wireless Communication, vol. 11, no. 4, pp. 1500-1509, 2012.   DOI   ScienceOn
13 Musbah Shaat, Faouzi Bader, "Asymptotically optimal resource allocation in OFDM-based cognitive networks with multiple relays," IEEE Trans. Wireless Communication, vol. 11, no. 3, pp. 892-897, 2012.   DOI   ScienceOn
14 G. Bansal, M. J. Hossain, and V. K. Bhargava, "Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems," IEEE Trans. Wireless Communicatio., vol. 7, no. 11, pp. 4710-4718, 2008.   DOI   ScienceOn
15 Guftaar Ahmad, Sardar Sidhu, Feifei Gao, Wei Wang, "Resource allocation in relay-aided OFDM cognitive radio networks, " IEEE Tran on VT, vol. 62, no. 8, pp. 3700-3710, 2013.
16 Shaowei Wang, Fangjiang Huang, Mindi Yuan and Sidan Du, "Resource allocation for multiuser cognitive OFDM networks with proportional rate constraints," International Journal of Communication Systems, vol. 25, no. 2, pp.254-269, 2012.   DOI   ScienceOn
17 T. Weiss and J. Hillenbrand, "Mutual interference in OFDM-based spectrum pooling systems," in Proc. of 2004 IEEE Vehicular Technology Conference-Spring, vol.4, pp.1873-187, 2004.
18 T. M. Cover and J. A. Thomas, Elements of Information Theory, 2nd edition, John Wiley and Sons, 2006.
19 M. Hasna and M.-S. Alouini, "Harmonic mean and end-to-end performance of transmission systems with relays," IEEE Trans on Communications, vol. 52, no. 1, pp. 130-135, 2004.   DOI   ScienceOn