Narcisse Nya
ABSTRACT
In this paper we analyze the performance of mobile users in a LTE macrocell with different transmission zones. To this end, we develop a simple model based on a muticlass Processor Sharing queue, that captures mobility of users between zones through the distribution of the sojourn time a user stays in each zone. The originality of the model is to decouple the mobility model from the cell model itself, by relating both the input rates and the service rates of the PS queue to performance parameters. The unknowns of the underlying system are thus solution of a fixed-point iterative technique. We compare the cell performance obtained by the model to simulation and show the accuracy of the solution. We believe that this very encouraging result will be the starting point of numerous extensions.
- T. Bonald, A. Proutière, Wireless Downlink Data Channels: User Performance and Cell Dimensioning, ACM Mobicom, 2003. Google Scholar
Digital Library
- L. Rong, S-E. Elayoubi, O. Ben Haddada, Performance Evaluation of Cellular Networks Offering TV Services, IEEE Transactions on Vehicular Technology, 2010.Google Scholar
- C. Sanogo, T. Chahed, S.E. Elayoubi, Modeling user impatience and its impact on performance in mobile networks, Personal Indoor and Mobile Radio Communications, 2013, pp. 2861--2865, 2013.Google Scholar
- X. Lin, R.K. Ganti, P.J. Fleming, J.G. Andrews, Towards understanding the fundamentals of mobility in cellular networks, IEEE Transactions on Wireless Communications, vol.12, No.4, April 2013Google ScholarCross Ref
- M.K. Karray, User's mobility effect on the performance of wireless cellular networks serving elastic traffic, Wireless Networks, 17, pp.247--262, 2011 Google ScholarDigital Library
- B. Baynat, R-M. Indre, N. Nya, P. Olivier, A. Simonian, Impact of mobility in dense LTE-A networks with small cells, VTC-spring, 2015Google Scholar
Index Terms
- A PS Queue Model for Lte Macrocells Taking into Account Mobility of Users
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