DMCA
Energy Efficient Heterogeneous Cellular Networks
Cached
| Citations: | 15 - 0 self |
BibTeX
@MISC{Soh_energyefficient,
author = {Yong Sheng Soh and Student Member and Tony Q. S. Quek and Senior Member and Hyundong Shin and Senior Member},
title = {Energy Efficient Heterogeneous Cellular Networks},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract—With the exponential increase in mobile internet traffic driven by a new generation of wireless devices, future cellular networks face a great challenge to meet this overwhelming demand of network capacity. At the same time, the demand for higher data rates and the ever-increasing number of wireless users led to rapid increases in power consumption and operating cost of cellular networks. One potential solution to address these issues is to overlay small cell networks with macrocell networks as a means to provide higher network capacity and better coverage. However, the dense and random deployment of small cells and their uncoordinated operation raise important questions about the energy efficiency implications of such multi-tier networks. Another technique to improve energy efficiency in cellular networks is to introduce active/sleep (on/off) modes in macrocell base stations. In this paper, we investigate the design and the associated tradeoffs of energy efficient cellular networks through the deployment of sleeping strategies and small cells. Using a stochastic geometry based model, we derive the success probability and energy efficiency in homogeneous macrocell (single-tier) and heterogeneous K-tier wireless networks under different sleeping policies. In addition, we formulate the power consumption minimization and energy efficiency maximization problems, and determine the optimal operating regimes for macrocell base stations. Numerical results confirm the effectiveness of switching off base stations in homogeneous macrocell networks. Nevertheless, the gains in terms of energy efficiency depend on the type of sleeping strategy used. In addition, the deployment of small cells generally leads to higher energy efficiency but this gain saturates as the density of small cells increases. In a nutshell, our proposed framework provides an essential understanding on the deployment of future green heterogeneous networks. Index Terms—Energy efficiency, green communications, heterogeneous wireless networks, power consumption, sleeping strategy, small cells, open access, stochastic geometry.
Keyphrases
energy efficiency small cell energy efficient heterogeneous cellular network stochastic geometry cellular network network capacity macrocell base station power consumption new generation energy efficiency implication rapid increase energy efficiency maximization problem small cell increase uncoordinated operation raise important question numerical result mobile internet traffic future green heterogeneous network success probability green communication macrocell network small cell network wireless user open access energy efficient cellular network active sleep associated tradeoff wireless device index term energy efficiency great challenge optimal operating regime base station power consumption minimization future cellular network exponential increase multi-tier network overwhelming demand ever-increasing number potential solution heterogeneous wireless network essential understanding homogeneous macrocell network data rate heterogeneous k-tier wireless network random deployment homogeneous macrocell
