GLOBECOM 2016, IEEE Global Communications Conference, Exhibition and Industry Forum, 4-8 December 2016, Washington, USA
In this paper, we develop a flexible and accurate analytical model of large networks with random base station (BS) placement, in order to understand the impact of key network parameters like BS density and load on the network performance. The main goal is to understand the flow level dynamics of such a system, assuming non-saturated users and
studying the congestion statistics for BSs and the per flow delay. To achieve this, we base our analysis on two main tools: (a) stochastic geometry, to understand the impact of topological randomness and coverage maps and (b) queueing theory, to model the competition between concurrent flows within the same BS. Our model is then applied the populars Radio Access Technologies (RATs), such as LTE and WIFi. Our results provide
some interesting qualitative and quantitative insights about the performance of those networks.
Systèmes de Communication
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