Significance of DITMC Technique for Capacity Enhancement in GSM and CDMA Networks

  • Hemant PurohitEmail author
  • Parneet KaurEmail author
  • Kanika JoshiEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 799)


By the end of 2020 heavy data traffic flood will dominate the speech traffic and the probability of bandwidth and capacity saturation (in GSM and CDMA networks) seems to be high. During the last decade various traffic models and techniques have been developed in order to optimize bandwidth and capacity of mobile networks. It has been analysed and found that most economic and efficient method to optimize the limited channel capacity and bandwidth in GSM and CDMA networks is to use the silence period during any speech conversation which can be utilized to transmit data as well as other channel allocation. Moreover the simulation studies show that this concept seems to be the most optimized, efficient and economic way to incorporate more users in GSM and CDMA networks. This paper proposes the mathematical model to incorporate DITMC technique for capacity enhancement in GSM and CDMA networks.


Blocking probability Channel utilisation Congestion Data interleaving Erlang Handover 


  1. 1.
    Opechowski, Z., Correia, L.M.: Analysis of traffic distributions in GSM. In: 13th International Conference on Microwaves, Radar and Wireless Communications, vol. 2, pp. 390–394, 22–24 May 2000Google Scholar
  2. 2.
    Akl, R., Parvez, A.: Impact of interference model on capacity in CDMA cellular networks. In: Proceedings of SCI 04: Communications and Network Systems, Technologies and Applications, vol. 3, pp. 404–408, July 2004Google Scholar
  3. 3.
    Purohit, H., Joshi, K.: Simulation study of DITMC technique for enhancing channel utilization in speech communication of mobile network. In: European Modelling Symposium 2015 Madrid (Spain), Proceedings Published by IEEE Conference Publication Services, pp. 133–136, 6–8 October 2015. ISBN 978-1-5090-0206-1Google Scholar
  4. 4.
    Biebuma, J.J., Omijeh, B.O.: Traffic modelling for capacity analysis of CDMA networks using lognormal approximation method. IOSR J. Electron. Commun. Eng. (IOSR-JECE) 4(6), 42–50 (2013)CrossRefGoogle Scholar
  5. 5.
    Boulmalf, M., et al.: Traffic analysis for GSM networks. In: IEEE/ACS International Conference on Computer Systems and Applications, pp. 498–503, 10–13 May 2009Google Scholar
  6. 6.
    Sharma, K.L.: Study of data interleaving in digital communication network and its application to network management system. Thesis for the Degree of Ph.D. in Electronics and Communication Engineering, Jai Narain Vyas University, Jodhpur (2003)Google Scholar
  7. 7.
    Hemant, P.: Investigation of efficient data interleaving technique in voice and data communication in band-limited environment and its implementation in mobile communication for channel utilization enhancement and energy optimization. Thesis for the Degree of Ph.D. in Electronics and Communication Engineering, Jai Narain Vyas University, Jodhpur (2015)Google Scholar
  8. 8.
    Purohit, H., Joshi, K.: Simulation based comparative study on channel utilization enhancement using DITMC technique in speech and data communication of mobile network. In: The 6th International Conference on Information Communication and Management, ICICM 2016, 29–31 October 2016. University of Hertfordshire, U.K. (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of ECEJodhpur Institute of Engineering & TechnologyJodhpurIndia
  2. 2.Department of Electronics and Communication EngineeringMBM Engineering CollegeJodhpurIndia
  3. 3.BIT Mesra Extension CentreJaipurIndia

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