Title: Energy-efficiency-aware flow-based access control in HetNets with renewable energy supply

Authors: Li Li; Yifei Wei; Mei Song; Xiaojun Wang

Addresses: Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications Beijing, China ' Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications Beijing, China ' Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications Beijing, China ' School of Electronic Engineering, Dublin City University, Dublin, Ireland

Abstract: Software defined networking (SDN) is revolutionising the telecommunication networking industry by providing flexible and efficient management. This paper proposes an energy-efficiency-aware flow-based management framework for relay-assisted heterogeneous networks (HetNets), where the relay nodes are powered by renewable energy. Due to the dynamic property of user behaviour and renewable energy availability, the flow-based management layer should enhance not only the instantaneous energy efficiency but also the long-term energy efficiency, while satisfying the transmission rate demand for each user. We first formulate the energy efficiency problem in HetNets as an optimisation problem for instantaneous energy efficiency and renewable energy allocation, and propose a heuristic algorithm to solve the optimisation problem. According to the proposed algorithm, we then design a dynamic flow-table configuration policy (DFTCP) which can be integrated as an application on top of an SDN controller to enhance the long-term energy efficiency. Simulation results show that the proposed policy can achieve higher energy efficiency compared with current distributed relay strategy, which chooses the nearest or strongest signal node to access, and obtain better performance for the overall relay network when the user density and demand change.

Keywords: software defined networking; energy efficiency; renewable energy.

DOI: 10.1504/IJCSE.2020.106066

International Journal of Computational Science and Engineering, 2020 Vol.21 No.3, pp.437 - 445

Received: 04 Jul 2018
Accepted: 16 Dec 2018
Published online: 27 Mar 2020 *

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