{"references": ["Cappozi. F, Piro. G, Grieco. L. A, Boggia. G, and Camarda. P., \"Downlink\npacket scheduling in LTE cellular networks: Key design issues and a\nsurvey\", IEEE Communications Surveys and Tutorials, Vol. 15, No. 2,\npp. 678-700, 2013.", "Dorigo. M, Birattari. M, Stiitzle. T., \"Ant colony optimization. Artificial\nants as a computational intelligence technique\", IEEE Computational\nIntelligence Magazine, pp. 28-39, 2006.", "Zhao. Y, Xu. X, Hao. Z, Tao. X, and Zhang. P., \"Resource allocation\nin multiuser OFDM system based on ant colony optimization\", IEEE\nWireless Communications and Networking Conference (WCNC), pp. 1\n6, 2010.", "Xu. C, Yang. L. -L., and Hanzo . L., \"Ant-colony-based multiuser\ndetection for MC DS- CDMA systems\", IEEE 66th Vehicular Technology\nConference, pp. 960 964, 2007.", "Khurshid. K, Irteza. S, and Khan. A. A., \"Application of ant colony\noptimization based algorithm in MIMO detection\", CEC10 - IEEE\nCongress on Evolutionary Computation, pp. 17, 2010.", "Jos Carlos. M and Taufik. A., \"Lattice reduction aided detector for\nMIMO communication using Ant colony optimization\",Wireless Personal\nCommunications, Springer, 77(1):63-85, 2013.", "Khawaja Tauseef Tasneem, \"Reduced complexity detection techniques\nfor multi antenna communication systems\", Ph.D. Thesis, University of\nCanterbury, New Zealand, 2013.", "Kailath. T, Vikalo. H, and Hassibi. B, \"MIMO Receive algorithms,\nSpace-Time Wireless systems: From Array processing to MIMO\nCommunications\", Cambridge University Press, 2005.", "Ayyoub. A. M , Sabira. K, Borhanuddin. M. A, Raja S. A. R. Abdullah.,\n\"QoS based fair load-balancing: Paradigm to IANRA Routing algorithm\nfor wireless networks\", Proceedings of 11th International Conference on\nComputer and Information Technology, Bangladesh, 2008.\n[10] Lain. J. K and Lai.J. J, \"Ant Colony Optimisation-Based multiuser\ndetection for Direct-Sequence CDMA Systems with diversity reception\",\nIET Communications, 1(4): 556561, 2007.\n[11] Vincent Poor. H., \"An Introduction to signal detection and estimation\",\n2nd edition, Springer-Verlag, 1994.\n[12] Gopi. E. S., \"Algorithm collections for digital signal processing\napplications using matlab\", Springer, 2007.\n[13] Rakesh. R and Jyotishree, \"Blending Roulette wheel selection and\nRank selection in Genetic Algorithms\", International Journal of Machine\nLearning and Computing, Vol. 2, No. 4, August 2012."]}

This paper describes an approach to detect the transmitted signals for 2×2 Multiple Input Multiple Output (MIMO) setup using roulette wheel based ant colony optimization technique. The results obtained are compared with classical zero forcing and least mean square techniques. The detection rates achieved using this technique are consistently larger than the one achieved using classical methods for 50 number of attempts with two different antennas transmitting the input stream from a user. This paves the path to use alternative techniques to improve the throughput achieved in advanced networks like Long Term Evolution (LTE) networks.