{"title":"Multiple Input Multiple Output Detection Using Roulette Wheel Based Ant Colony Optimization Technique","authors":"B. Rebekka, B. Malarkodi","volume":111,"journal":"International Journal of Electronics and Communication Engineering","pagesStart":444,"pagesEnd":452,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10004949","abstract":"This paper describes an approach to detect the
\r\ntransmitted signals for 2×2 Multiple Input Multiple Output (MIMO)
\r\nsetup using roulette wheel based ant colony optimization technique.
\r\nThe results obtained are compared with classical zero forcing and
\r\nleast mean square techniques. The detection rates achieved using
\r\nthis technique are consistently larger than the one achieved using
\r\nclassical methods for 50 number of attempts with two different
\r\nantennas transmitting the input stream from a user. This paves the
\r\npath to use alternative techniques to improve the throughput achieved
\r\nin advanced networks like Long Term Evolution (LTE) networks.","references":"[1] Cappozi. F, Piro. G, Grieco. L. A, Boggia. G, and Camarda. P., \u201dDownlink\r\npacket scheduling in LTE cellular networks: Key design issues and a\r\nsurvey\u201d, IEEE Communications Surveys and Tutorials, Vol. 15, No. 2,\r\npp. 678-700, 2013.\r\n[2] Dorigo. M, Birattari. M, Stiitzle. T., \u201dAnt colony optimization. Artificial\r\nants as a computational intelligence technique\u201d, IEEE Computational\r\nIntelligence Magazine, pp. 28-39, 2006.\r\n[3] Zhao. Y, Xu. X, Hao. Z, Tao. X, and Zhang. P., \u201dResource allocation\r\nin multiuser OFDM system based on ant colony optimization\u201d, IEEE\r\nWireless Communications and Networking Conference (WCNC), pp. 1\r\n6, 2010.\r\n[4] Xu. C, Yang. L. -L., and Hanzo . L., \u201dAnt-colony-based multiuser\r\ndetection for MC DS- CDMA systems\u201d, IEEE 66th Vehicular Technology\r\nConference, pp. 960 964, 2007.\r\n[5] Khurshid. K, Irteza. S, and Khan. A. A., \u201dApplication of ant colony\r\noptimization based algorithm in MIMO detection\u201d, CEC10 - IEEE\r\nCongress on Evolutionary Computation, pp. 17, 2010.\r\n[6] Jos Carlos. M and Taufik. A., \u201dLattice reduction aided detector for\r\nMIMO communication using Ant colony optimization\u201d,Wireless Personal\r\nCommunications, Springer, 77(1):63-85, 2013.\r\n[7] Khawaja Tauseef Tasneem, \u201dReduced complexity detection techniques\r\nfor multi antenna communication systems\u201d, Ph.D. Thesis, University of\r\nCanterbury, New Zealand, 2013.\r\n[8] Kailath. T, Vikalo. H, and Hassibi. B, \u201dMIMO Receive algorithms,\r\nSpace-Time Wireless systems: From Array processing to MIMO\r\nCommunications\u201d, Cambridge University Press, 2005.\r\n[9] Ayyoub. A. M , Sabira. K, Borhanuddin. M. A, Raja S. A. R. Abdullah.,\r\n\u201dQoS based fair load-balancing: Paradigm to IANRA Routing algorithm\r\nfor wireless networks\u201d, Proceedings of 11th International Conference on\r\nComputer and Information Technology, Bangladesh, 2008.\r\n[10] Lain. J. K and Lai.J. J, \u201dAnt Colony Optimisation-Based multiuser\r\ndetection for Direct-Sequence CDMA Systems with diversity reception\u201d,\r\nIET Communications, 1(4): 556561, 2007.\r\n[11] Vincent Poor. H., \u201dAn Introduction to signal detection and estimation\u201d,\r\n2nd edition, Springer-Verlag, 1994.\r\n[12] Gopi. E. S., \u201dAlgorithm collections for digital signal processing\r\napplications using matlab\u201d, Springer, 2007.\r\n[13] Rakesh. R and Jyotishree, \u201dBlending Roulette wheel selection and\r\nRank selection in Genetic Algorithms\u201d, International Journal of Machine\r\nLearning and Computing, Vol. 2, No. 4, August 2012.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 111, 2016"}