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http://dx.doi.org/10.3837/tiis.2012.05.002

Resource Allocation with Proportional Rate In Cognitive Wireless Network: An Immune Clonal Optimization Scheme  

Chai, Zheng-Yi (School of Information Science and Engineering, Hennan University of Technology)
Zhang, De-Xian (School of Information Science and Engineering, Hennan University of Technology)
Zhu, Si-Feng (School of School of Computer Science and technology, Xidian University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.6, no.5, 2012 , pp. 1286-1302 More about this Journal
Abstract
In this paper, the resource allocation problem with proportional fairness rate in cognitive OFDM-based wireless network is studied. It aims to maximize the total system throughput subject to constraints that include total transmit power for secondary users, maximum tolerable interferences of primary users, bit error rate, and proportional fairness rate among secondary users. It is a nonlinear optimization problem, for which obtaining the optimal solution is known to be NP-hard. An efficient bio-inspired suboptimal algorithm called immune clonal optimization is proposed to solve the resource allocation problem in two steps. That is, subcarriers are firstly allocated to secondary users assuming equal power assignment and then the power allocation is performed with an improved immune clonal algorithm. Suitable immune operators such as matrix encoding and adaptive mutation are designed for resource allocation problem. Simulation results show that the proposed algorithm achieves near-optimal throughput and more satisfying proportional fairness rate among secondary users with lower computational complexity.
Keywords
Immune clonal algorithm; cognitive wireless network; OFDM; proportional fairness rate; resource allocation; subcarrier allocation; power allocation;
Citations & Related Records
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Times Cited By Web Of Science : 0  (Related Records In Web of Science)
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1 Fed. Comm., "Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies" FCC 03-322, 2003.
2 M. McHenry, "NSF Spectrum Occupancy Measurements Project Summary". Shared spectrum company report, Aug.2005.
3 J. Mitola, III and G. Q. Maguire, Jr., "Cognitive radio: Making software radios more personal," IEEE Personal Communication, vol 6, no.4, pp.13-18, Aug.1999.   DOI   ScienceOn
4 S. Haykin, Cognitive radio: Brain-empowered wireless communications, IEEE Journal on Selected Areas in Communications, vol.23, no.2, pp.201-220, Feb.2005.   DOI
5 Fed. Commun. "FCC Adopts Rules for Unlicensed Use of Television White Spaces," http://hraunfoss.fcc.gov/edocs_public/attachmatch/DOC-286566A1.pdf, Nov. 2008.
6 Mahmoud HA, Yucek T, Arslan H. "OFDM for cognitive radio: merits and challenges," IEEE Wireless Communications Magazine, vol.16, no.2, pp.6-15, 2009.
7 Tarcisio F. Maciel, Member and Anja Klein. "On the performance, complexity, and fairness of suboptimal resource allocation for multi-user MIMO-OFDMA Systems," in Journal of IEEE Transactions on Vehicular Technology, vol.59, no.1, Jan. 2010.
8 Rahulamathavan, Y., Cumanan and K.,Lambotharan, S., "Optimal resource allocation techniques for MIMO-OFDMA based cognitive radio networks using integer linear programming," in Proc. of IEEE Workshop on Signal Processing Advances in Wireless Communications, 2010.
9 Zhang, Yonghong, Leung, Cyril. "A distributed algorithm for resource allocation in OFDM cognitive radio systems," in Journal of IEEE Transactions on Vehicular Technology, vol.60, no.2, pp.546-554, Feb.2011.   DOI
10 Patrick Mitran. "Queue-Aware Resource Allocation for Downlink OFDMA Cognitive Radio Networks," in Journal of IEEE Transactions on wireless communications, vol.9, no.10, pp.1699-1713, Oct.2010.
11 Almalfouh, Sami M. Stuber and Gordon L. "Interference-aware radio resource allocation in OFDMA-based cognitive radio networks," in Journal of IEEE Transactions on Vehicular Technology, vol.60, no.4, pp.1699-1713, May.2011.   DOI
12 Wang, Shaowei,Huang, Fangjiang,Yuan, Mindi, "Resource allocation for multi-user cognitive OFDM networks with proportional rate constraints," in Journal of .International Journal of Communication Systems, vol.25, pp.254-269, Feb.2012.   DOI   ScienceOn
13 Renk, T.Kloeck, C. and Burgkhardt, D., "Bio-inspired algorithms for dynamic resource allocation in cognitive wireless networks," in Journal of Mobile Networks and Applications, vol.13, no.5, pp.431-441, Oct.2008.   DOI   ScienceOn
14 An He and Kyung Kyoon Bae, "A survey of artificial intelligence for cognitive radios," in Journal of IEEE Transactions on Vehicular Technology, vol.59, no.4, pp.2132-2139, 2010.
15 N. Sharma et al., "On the use of particle swarm optimization for adaptive resource allocation in orthogonal frequency division multiple access systems with proportional rate constraints," in Journal of Information Science, 2011.
16 Malathi, P. and Vanathi, P., "Optimized multi-user resource allocation scheme for OFDM-MIMO system using GA & OGA.," IETE Technical Review, vol.25, no.4, pp.175-185, Jul.2008.   DOI   ScienceOn
17 Sharma, Nitin, "A novel genetic algorithm for adaptive resource Allocation in MIMO-OFDM systems with proportional rate constraint," in Journal of Wireless Personal Communications, vol.61, no.1, pp.113-128, 2011.   DOI   ScienceOn
18 Sharma, Nitin ,Anupama, K.R, "On the use of NSGA-II for multi-objective resource allocation in MIMO-OFDMA systems," in Journal of Wireless Networks, vol.17, no.5, pp.1191-1201, Jul.2011.   DOI   ScienceOn
19 de Castro L N, Timmis J, "Artificial immune systems: A new computational intelligence approach," Springer-Verlag, 2002.
20 de Castro L N, Von Zuben F J, "Learning and optimization using the clonal selection principle," in Journal of IEEE Trans on Evolutionary Computation, vol.6, no.3, pp.239-251, 2002.   DOI   ScienceOn
21 Qi, Yutao;Jiao, Licheng; Liu, Fang, "Multi-agent immune memory clone based multicast routing," in Journal of Chinese Journal of Electronics, vol.17, no.2, pp.289-292, Apr.2008.
22 Luh Ge.-Ch,Chueh C.-H, "A multi-modal immune algorithm for the job-shop scheduling problem," in Journal of Information Sciences, vol.179, no.10, pp.1516-1532,2009.   DOI   ScienceOn
23 Zuo,xingquan, Mo, HongWei, "A robust scheduling method based on a multi-objective immune algorithm," in Journal of Information Sciences, vol.179, no.10, pp.3359-3369,2009.   DOI
24 Gong Maoguo, Jiao Licheng, Ma Wenping and Ma Jingjing, "Intelligent multi-user detection using an artificial immune system," in Journal of Science in China Series F: Information Sciences, vol.52, no.12, pp.2342-2353,2009.   DOI   ScienceOn
25 Zhang, Yonghong,Leung, Cyril, "Resource allocation in an OFDM-based cognitive radio system," IEEE Transactions on Communications, vol.57, no.7, pp.1928-1931, 2009.   DOI
26 Yang, Shuyuan;Wang, Min and Jiao, Licheng, "Quantum-inspired immune clone algorithm and multiscale Bandelet based image representation," in Journal of Pattern Recognition Letters, vol.31, no.13, pp.1894-1902, Oct.2010.   DOI   ScienceOn
27 Yang, Dongdong;Jiao, Licheng; Gong, Maoguo and Liu, Fang,. "Artificial immune multi-objective SAR image segmentation with fused complementary features," Information Sciences, vol.181, no.13, pp.2797-2812, Jul.2011.   DOI   ScienceOn
28 Kim, I., Park, I. S. and Lee, Y. H, "Use of linear programming for dynamic subcarrier and bit allocation in multiuser OFDM," in Journal of IEEE Transactions on Vehicular Technology, vol.55, no.4, pp.1195-1207,2006.   DOI   ScienceOn
29 Akter, Lutfa Natarajan and Balasubramaniam, "QoS constrained resource allocation to secondary users in cognitive radio networks," in Journal of Computer Communications, vol.32, no.18, pp.1923-1930, Dec.2011.
30 Wang, Shaowei, "Efficient resource allocation algorithm for cognitive OFDM systems," in Journal of IEEE Communications Letters, vol.14, no.8, pp.725-727, Aug. 2010.   DOI
31 Tao Qin; Cyril Leung, C, "Fair adaptive resource allocation for multiuser OFDM cognitive radio systems," in Proc. of Second International Conference on Communications and Networking in China, pp.115-119, Aug.2007.
32 Fan, Bing. Wu and Wong.,Zheng, "Proportional fair-based joint subcarrier and power allocation in relay-enhanced orthogonal frequency division multiplexing systems," in Journal of.IET Communications, vol.4, no.10, pp.1143-1152, 2010.   DOI   ScienceOn
33 Chanhong Kim and Jungwoo Lee, "On OFDM subcarrier allocation strategies for soft hand-off in cellular systems," in Journal of KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, vol.6 , no.3, pp.784-793,2012.
34 Maoguo Gong, Licheng Jiao and Lining Zhang, "Baldwinian Learning in Clonal Selection Algorithm for Optimization" in Journal of Information Sciences, Elsevier, vol.180, no.8, pp.1218-1236,2010.   DOI   ScienceOn
35 Dongdong Yang, Licheng Jiao, Maoguo Gong and Jie Feng., "Adaptive Ranks and K-Nearest neighbor list based multi-objective immune algorithm," in Journal of Computational Intelligence, vol.26, no.4, pp.359-385,2010.   DOI   ScienceOn
36 Maoguo Gong, Licheng Jiao, Fang Liu and Wenping Ma, "Immune algorithm with orthogonal design based initialization, cloning, and selection for global optimization," in Journal of Knowledge and Information Systems, Springer, vol.25, no.3, pp.523-549,2010.   DOI   ScienceOn