Analysis of channel allocation and management using tlbo, ga & de algorithms in cellular networks

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Accuracy of spectrum sensing in cellular mobile networks can be increased by reducing the sensing error probability, call blocking probability & by increasing network throughput. In our Project work, an advanced algorithms like Teaching Learning Based Optimization (TLBO), Genetic (GA) and Differential Evaluation (DE) Algorithms are used to analyze the sensing error probability, call blocking probability and network throughput. We will propose a channel allocation and management scheme with the above mentioned algorithms for supporting mobile users. With the help of these algorithms, sensing error and call blocking probabilities are analyzed to find out an optimal value for reducing the errors to some extent and improving network throughput. Channel Allocation in cellular networks is a key aspect with channel impairments and non-ideal antenna patterns. Finally, performance analysis is done through comparison of simulation results.

     


  • Keywords


    Call Blocking Probability; Cellular Networks; Differential Evolution Algorithm; Genetic Algorithm; sensing error Probability; Teaching Learning Based Optimization Algorithm; Throughput.

  • References


      [1] Guowang Miao; Jens Zander; Ki Won Sung; Ben Slimane (2016). Basics of Mobile Data Networks. Cambridge University Press. ISBN 1107143217.

      [2] R. L. Haupt, S.E. Haupt, Practical Genetic Algorithms, John Wiley and children, INC., Publication. ISBN 0-471-45565-2. 2004.

      [3] R. Storn, K.Price, "Differential development a straightforward and productive heuristic for optimization over spaces", Journal of worldwide Optimization 11(4). pp 341-359, 1997.

      [4] V. Rao, V.J. Savsani and D.P. Vakharia,"TLBO advancement technique for nonstop nonlinear expansive scale issues", Information Sciences183 (1) (2012) 1-15.

      [5] A. Ghasemi and E. S. Sousa, Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs, IEEE Communication Magazine, vol.46, no.4, pp.32-39, 2008.

      [6] Wang Xiao-Ping, Cao Li-Ming, genetic algorithms —theory^ application and software realization, Xi'an: Xi’an Jiaotong university Publishing House, 2002.

      [7] I.F.Akyildiz, W.Su, Y.Sankarasubramanium, and E.Cayirci, “Wireless Sensor Networks:A Survey”, IEEE Communications Magazine, Vol. 40, No. 8, Aug. 2002 pp. 102-114.

      [8] Dharma Prakash Agrawal Qing-An Zeng, “Introduction to wireless and mobile systems”, Thomason Press, 2003.

      [9] Elnoubi, S. M., Singh, R., and Gupta, S.C., "A New Frequency Channel Assignment Algorithm in High Capacity Mobile Communication Systems," IEEE Transactions on Vehicular Technology, vol. 31, no. 3, August 1982.

      [10] Chang Wook Ahn and R. S. Ramakrishna, “QoS provisioning dynamic connection-admission control for multimedia wireless networks using a Hopfield neural network”, IEEE Transactions on Veh. Technology, Vol.56, No.2, pp.106-107, 2004.

      [11] Zhang, M. and Yum, TS. P., "Comparisons of Channel-Assignment Strategies in Cellular Mobile Telephone Systems", IEEE Transactions on Vehicular Technology, vol. 38, no. 4, November 1989.

      [12] Yue, W., "Analytical Methods to Calculate the Performance of a Cellular Mobile Radio Communication with Hybrid Channel Assignment," IEEE Transactions on Vehicular Technology, vol. 40, now. 2, May 1991.

      [13] Katzela, I., "Channel Assignment Schemes for Cellular Mobile Telecommunication Systems," Unpublished work, Columbia University, December 15, 1992.

      [14] Jiang, H. and Rapp port, S. S., "CBWL: A New Channel Assignment and Sharihng Method for Cellular Communication Systems," IEEE Transactions on Vehicular Technology, vol. 43, no. 2, May 1994.

      [15] J. Mitola III, G. Maguire Jr., Cognitive radio: making software radios more personal, IEEE Personal Communications 6 (4) (1999) 13–18.

      [16] Rao, R.V., Patel, V., 2012. An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Engineering Computations 3(4), 535–560.

      [17] Patrascu, M.; Stancu, A.F.; Pop, F. (2014). "HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation".

      [18] R.V. Rao, V. Patel, An elitist teaching–learning-based optimization algorithm for solving complex constrained optimization problems Int. J. Ind. Eng. Comput., 3 (4) (2012).

      [19] R.V. Rao, V. Patel,Multi-objective optimization of two stage thermo-electric cooler using a modified teaching–learning-based optimization algorithm in. Appl. Artif. Intell, 26 (1) (2013).

      [20] S. Das, S. S. Mullick, P. N. Suganthan, "Recent Advances in Differential Evolution - An Updated Survey," Swarm and Evolutionary Computation, 2016.

      [21] Tom Simonite (24 January 2013). "Google's Private Cell Phone Network Could Be a Threat to Cellular Carriers | MIT Technology Review". Technologyreview.com. November 2013.

      [22] Wu, C.I.; Chen, C.H.; Lin, B.Y.; Lo, C.C. Traffic Information Estimation Methods from Handover Events. J. Test. Eval. 2016, 44, 656–664.

      [23] Chang, M.F.; Chen, C.H.; Lin, Y.B.; Chia, C.Y. The Frequency of CFVD Speed Report for Highway Traffic. Wirel. Commun. Mob. Comput. 2015, 15, 879–888.

      [24] Lai, W.K.; Kuo, T.H.; Chen, C.H. Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data. Appl. Sci. 2016, 6, 47.

      [25] Shaik Yasmin Fathima, Md. Zia Ur Rahman, K. Murali Krishna, Shakira Bhanu,Mirza Shafi, “Side Lobe Suppression in NC-OFDM Systems Using Variable Cancellation Basis Function”, IEEE Access, vol.5, no.1, pp. 9415-9421, 2017.

      [26] Ohatkar, S.N., Bormane and D.S.: Hybrid channel allocation in cellular network based on genetic algorithm and particle swarm optimization methods. IET Commun. 10(13), 1571–1578 (2016).


 

View

Download

Article ID: 11555
 
DOI: 10.14419/ijet.v7i2.17.11555




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.