University of Oulu

J. Park, S. Kim, M. Bennis and M. Debbah, "Spatio-Temporal Network Dynamics Framework for Energy-Efficient Ultra-Dense Cellular Networks," 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, 2016, pp. 1-7. doi: 10.1109/GLOCOM.2016.7842287

Spatio-temporal network dynamics framework for energy-efficient ultra-dense cellular networks

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Author: Park, Jihong1; Kim, Seong-Lyun1; Bennis, Mehdi2;
Organizations: 1School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea
2Centre for Wireless Communications, University of Oulu, Finland
3Mathematical and Algorithmic Sciences Lab, France Research Center, Huawei Technologies Co. Ltd
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080733479
Language: English
Published: Institute of Electrical and Electronics Engineers, 2016
Publish Date: 2018-08-07
Description:

Abstract

This article investigates the performance of an ultra-dense network (UDN) from an energy-efficiency (EE) standpoint leveraging the interplay between stochastic geometry (SG) and mean-field game (MFG) theory. In this setting, base stations (BSs) (resp. users) are uniformly distributed over a two-dimensional plane as two independent homogeneous Poisson point processes (PPPs), where users associate to their nearest BSs. The goal of every BS is to maximize its own energy efficiency subject to channel uncertainty, random BS location, and interference levels. Due to the coupling in interference, the problem is solved in the mean-field (MF) regime where each BS interacts with the whole BS population via time- varying MF interference. As a main contribution, the asymptotic convergence of MF interference to zero is rigorously proved in a UDN with multiple transmit antennas. It allows us to derive a closed-form EE representation, yielding a tractable EE optimal power control policy. This proposed power control achieves more than 1.5 times higher EE compared to a fixed power baseline.

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Series: IEEE Global Communications Conference
ISSN: 2334-0983
ISSN-L: 2334-0983
ISBN: 978-1-5090-1328-9
ISBN Print: 978-1-5090-1329-6
Pages: 1 - 7
DOI: 10.1109/GLOCOM.2016.7842287
OADOI: https://oadoi.org/10.1109/GLOCOM.2016.7842287
Host publication: 2016 IEEE Global Communications Conference (GLOBECOM)
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
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