Optimal performances of a global allocation of radio resources in heterogeneous networks system

TL;DR

This paper presents an algorithm using dynamic programming to optimize radio resource allocation in heterogeneous wireless networks, considering user mobility with a 2D Fluid Flow model, and validates it through NS3 simulations.

Contribution

It introduces a novel dynamic programming algorithm for global radio resource allocation in heterogeneous networks, incorporating user mobility modeling.

Findings

Improved resource allocation performance demonstrated in simulations.

Effective handling of user mobility enhances network efficiency.

Algorithm outperforms existing methods in test scenarios.

Abstract

The evolution of wireless and mobile networks becomes faster and faster, so the optimal allocation of radio resources is a problem which is imperative. This development of telecommunication networks is accompanied with an efficient deployment of wireless networks such Wireless Fidelity and networks mobile as LongTerm Evolution (LTE). In this paper, we propose an algorithm improving the global allocation of radio resources within the framework of a heterogeneous mobile and wireless networks system by using the dynamic programming in particular the Bellman principle of optimality. We took into account the mobility of users by using the \textbf{2D model Fluid Flow} to obtain the best performances which are numerically tested by the Network Simulator 3 (NS3).