|
[1] A. Boukerche, S. Hong, and T. Jacob, “A distributed algorithm for dynamic channel allocation,” Mobile Networks and Applications, vol. 7, no. 2, pp. 115–126, Apr. 2002. [2] W.C.Y Lee and Jr., Microware cellular telecommunication systems. New York:McGraw-Hill, 1989. [3] M. Kamble and R. Gupta, “A new framework for call admission control in wireless cellular network,” 2011 International Conference on Emerging Trends in Networks and Computer Communications(ETNCC), pp.178-181, 2011. [4] Y. Zhang, E. Salari, “A hybrid channel allocation algorithm with priority to handoff calls in mobile cellular networks,” Computer Communications, vol. 32, no. 5, pp. 880-887, 2009. [5] Y. Fang, “Thinning scheme for call admission control in wireless networks,” IEEE Transaction on Computers, vol.52, no.5, pp.685–687, 2003 [6] Y. Fang, Y. Zhang, “Call admission control scheme and performance analysis in wireless mobile networks,” IEEE Transaction on Vehicular Technology, vol. 51, no. 2, pp. 371-382, 2002. [7] K.N. Chang and S. Kin, “Channel allocation in cellular radio networks,” Computers and Operations Research, vol.24, no.9, pp.849-860, Sep. 1997. [8] S.Y. Lin, S.C. Horng, T.Y. Chan, “Interference Avoidance Distributed Dynamic Channel Assignment for Cellular Network,” in Proc. 2011 International Conference of System Science and Engineering, pp. 588-592, Macau, June 6-8 2011. [9] S. Sakar and K.N. Sivarajan, “Channel assignment algorithms satisfying co-channel and adjacent channel reuse constraints in cellular mobile networks,” IEEE Transactions on Vehicular Technology, vol.51, no.5, pp.954-967, Sep. 2002. [10] S.Y. Lin, T.Y. Chan, “A Petri-net Based Automated Distributed Dynamic Channel Assignment for Cellular Network,” IEEE Transactions on Vehicular Technology, vol. 58, no. 8, pp.4540-4553, Oct, 2009. [11] X.J. Li and P.H.J. Chong, “Dynamic channel assignment for multihop cellular networks with any reuse factor,” IEEE Communication Lett., vol.12 no.5, pp.346-348, May. 2008. [12] M. Zhang and T. Yum, “Comparisons of channel assignment strategies in cellular mobile telephone system,” IEEE Transactions on Vehicular Technology, vol.38 no.4, pp.211-215, Nov. 1989. [13] Ng, A.K.L., X.F. Wang, Chong and P.H.J., “Performance of dynamic channel assignment in multihop cellular networks with the effect of mobile density and transmission rage,” 7th International Conference on Information Communications and Signal Processing, no.8, pp. 1-5, Dec. 2009. [14] I. Katzela and M. Naghshineh, “Channel assignment schemes for cellular mobile telecommunication system:A comprehensive survey,” IEEE Personal Communications, vol.3, no.3, pp.10-31, Jun. 1996. [15] Y.B. Zhang, S.K. DAS and X.H Jia, “D-CAT:An efficient algorithm for distributed channel allocation in cellular mobile network,” Mobile Networks and Applications, pp. 279-288, 2004. [16] M.M. Elahi, N.E. Rehman, S. Arman and S. Sharmin, “Towards an Adaptive Resource Management Scheme for Mobile Cellular Network,” Proceedings of 14th International Conference on Computer and Information Technology (ICCIT 2011), pp.542-547, Dec. 2011. [17] A.G Marques, L.M. Lopez-Ramos, G.B. Giannakis, Fellow, J. Ramos and A.J. Caamano, “Optimal Cross-Layer Resource Allocation in Cellular Networks Using Channel and Queue State Information,” IEEE Transactions on Vehicular Technology, vol.58, pp.1-18, Feb. 2012. [18] E.D. Re, R. Fantacci and L. Ronga, “A dynamic channel allocation technique based on Hopfield neural networks,” IEEE Transactions on Vehicular Technology, vol.45 no.1, pp.26-32, Feb. 1996. [19] Helonde, V. Wadhai, Vivek S. Deshpande and Hemlata S. Ohal, “Performance Analysis of Hybrid Channel Allocation Scheme for Mobile Cellular Network,” IEEE-International Conference on Recent Trends in Information Technology, ICRTIT 2011, pp. 245-250, June. 2011. [20] R. Estrello, C.B., H. Valdez, G.C. Perez and F.A., “System-level analysis of mobile cellular networks considering link unreliability,” IEEE Transactions on Vehicular Technology, vol.58 no.2, pp.926-940, Feb. 2009. [21] S. Yamanaka, H. Kawano and Y. Takahashi, “Modeling and performance analysis of cellular network with channel borrowing,” IEICE Transaction on Communication, vol.E85-B, no.5, pp.929-937, 2002. [22] A. Bertossi, C. Pinotti and R. Tan, “Channel assignment with separation for interference avoidance in wireless networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 14, no.3, pp.222-234, Mar. 2003. [23] H. G. Sandalidis, P.P. Stauroulakis and J. Rod.-Tellez, “Borrowing channel assignment strategies based on heuristic technique for cellular systems,” IEEE Transactions on Neural Networks, vol.10, no.1, pp.176-181, Jan. 1999. [24] R. Kruse, J. Gebhardt and F. Klawonn, Foundations of fuzzy systems, John Wiley & Sons, Inc. New York, 1994. [25] John Yen and Reza Langari, Fuzzy logic:intelligence, control, and information, Prentice-Hal, 1999. [26] C.T Lin and C.S. George Lee, Neural fuzzy systems : a neuro-fuzzy synergism to intelligent systems, Prentice-Hall, 1996. [27] G. R.Chen and T. T. Pham, Introduction to fuzzy Systems, Chapman and Hall/CRC, 2005. [28] T. Ross, Fuzzy logic with engineering applications, New York: McGraw-Hill, 1995. [29] M. Monjezi, M. Rezaeia, A. Yazdiana, “Prediction of backbreak in open-pit blasting using fuzzy set theory,” Expert Systems with Applications, vol. 37, no. 3, pp. 2637-2643, 2010. [30] N. Etik, N. Allahverdi, I. U. Sert and I. Saritas, “Fuzzy expert system design for operating room air-condition control systems,” Expert System with Application, vol.36, pp. 9753-9758, 2009. [31] Ali Keles, Ayturk Keles and Ugur Yavuz, “Expert system based on neuro-fuzzy rules for diagnosis breast cancer,” Expert System with Application, vol.38, pp. 5719-5726, 2011. [32] L. Barolli, G. Mino, T. Ikebata, A. Barolli, F. Xhafa and M. Takizawa, “Performance Evaluation and Comparison of Fuzzy-based Intelligent CAC Systems for Wireless Cellular Networks,” 2010 International Conference on Intelligent Networking and Collaborative Systems, pp.177-184, 2010. [33] Y.T. Huang and T.J. Siller, “Fuzzy representation and reasoning in geotechnical site characterization,” Computers and Geotechnology, vol.21, no.1, pp.65–86, 1997. [34] O. Acaroglu, L. Ozdemir and B. Asbury, “A fuzzy logic model to predict specific energy requirement for TBM performance prediction,” Tunneling and Underground Space Technology, vol.23, no.5, pp. 600-608, sep. 2008.
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