Title: Contribution to radio resource distribution approach in wireless cellular software defined networking

Authors: Hachim Fall; Ouadoudi Zytoune; Mohamed Yahyai

Addresses: Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco ' Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco ' Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco

Abstract: We witness actually huge wireless traffic demand on a limited bandwidth. This leads to develop complex and power-hungry network technologies that are often harder to manage. Thus, some core network features as radio resource management (RRM) introduce important issues as scalability and energy efficiency. This paper debates on next generation wireless cellular network radio resource distribution (RRD) algorithms. We leverage software defined network (SDN) benefits by proposing algorithms on demand (AoD), which aggregates several schedulers at the network controller. Based on Markov prediction, a real time context data analysis adapts the most suited RRD scheme at the evolved Node B. This choice depends on cell status (load, interference, etc.), thanks to the device programmability feature of SDN. Moreover, AoD reduces power consumption by optimising always the transmission rate. Simulations show that one can approach fifth generation (5G) radio policies by AoD theory with quality of experience and low carbon footprint as benefits.

Keywords: energy efficiency; Markov model prediction; openness; radio resource management; software-defined networking.

DOI: 10.1504/IJAIP.2019.101991

International Journal of Advanced Intelligence Paradigms, 2019 Vol.13 No.3/4, pp.449 - 461

Received: 29 Nov 2016
Accepted: 21 Jul 2017

Published online: 28 Aug 2019 *

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