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An Optimal Energy Efficiency of a Two-tier Network in Control-Data Separation Architecture

Zaid Mujaiyid Putra Bin Ahmad Baidowi and Xiaoli Chu
Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 4ET, United Kingdom

Abstract—In this paper, we propose to maximize the Energy Efficiency (EE) of a two-tier network by jointly optimizing the number of active small cell base stations (SBSs) and the user-cell association. We apply the concept of signaling and data separation where a macro cell base station (MBS) provides full coverage while the SBSs provide high data transmission. First, we model the spatial distributions of the SBSs and mobile users following two independent Poisson Point Processes (PPP) and derive the expressions for the Signal-to-Interference Ratio (SIR), user cell associations, power consumption and energy efficiency of the Heterogeneous Network (HetNet). Then, we formulate the EE maximization problem and solve it by proposing the Switching off Decision and User Association (SODUA) algorithm. The algorithm associates a mobile user to an SBS that offers the highest SIR and calculates the load of each SBS. The algorithm, then, decides to switch off the SBSs that have fewer mobile users than a threshold value, where the mobile users will be offloaded to a nearby SBS that offers the highest SIR. Finally, we calculate the EE of the HetNet. We compare the EE achieved by the proposed algorithm (i.e. after offloading) and that "without offloading". The results show that the proposed algorithm improves the EE of the HetNet and that the EE cannot be further improved by switching off more SBSs than a certain number.

Index Terms—Energy efficiency, separation architecture, CDSA, repulsive switching off

Cite: Zaid Mujaiyid Putra Bin Ahmad Baidowi and Xiaoli Chu, "An Optimal Energy Efficiency of a Two-tier Network in Control-Data Separation Architecture," Journal of Communications vol. 15, no. 7, pp. 545-550, July 2020. Doi: 10.12720/jcm.15.7.545-550

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.