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Joseph, J., Ruhl, R. and Samuel, H. (2018) Reducing Traffic Congestion for Machine to Machine Type Communication over 4G-LTE Network by Decreasing Total Bytes Transmitted. 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/12th IEEE International Conference on Big Data Science and Engineering, New York, 1-3 August 2018, 1720-1721.
https://doi.org/10.1109/TrustCom/BigDataSE.2018.00259

has been cited by the following article:

• TITLE: Traffic Modelling of Low Dense Femtocellular Network for Long Term Evolution

  AUTHORS: Jesmin Akhter, Abu Sayed Md. Mostafizur Rahaman, Md. Imdadul Islam, M. R. Amin

  KEYWORDS: Rayleigh and Nakagami-m Fading, MIMO, RB, Forced Termination, Outage Probability

  JOURNAL NAME: Journal of Computer and Communications, Vol.7 No.12, December 23, 2019

  ABSTRACT: One of the features of Long Term Evolution (LTE) is the deployment of femtocells as the underlain cell of a macrocell without any intervention of frequency planning to offload the traffic. In this paper we used Markov chain to derive the expression of blocking probability for both macro and femtocell in terms of traffic parameters of the network. We developed an analytical model to find the expression of probability of forced termination (FT) using combination of mobility model and probability tree considering low dense femtocellular network. Two different trees were designed: a newly originating call which starts its session in a femtocell and that of in a macro cell. The link parameters of small scale fading of wireless network under Multiple Input Multiple Output (MIMO) are combined with the proposed traffic model to get the probability of FT of a real-life network. A new state transition chain was also developed including its solution for LTE traffic of variable bandwidth (BW) and a comparison was made with Erlang’s traffic model.