Paper Info
Title
Energy efficient optimization of a sleep mode strategy in heterogeneous cellular networks.
Abstract
As base stations (BS) are responsible for the large amount of energy consumed in cellular networks, energy efficient BS sleep mode techniques have the potential to save a significant amount of energy. However, assuming that BSs are able to alternate between sleeping and active states as frequently as possible may have a negative impact on network reliability, shortening BS lifetime. In this paper we propose a multiobjective optimization framework aimed at minimizing the power consumption and number of BS sleep mode switchings in heterogeneous cellular networks (HetNet), by jointly considering Quality of Service (QoS) requirements. We focus on the HetNet scenario in which macro and micro cells coexist. The Mixed Integer Quadratic Programming (MIQP) optimization technique is used to minimize the power consumption together with the number of BS sleep mode operations of both macro and micro cells. The tradeoff between power consumption, sleep mode switchings and performance of the network is shown for different energy saving solutions. Results show that the proposed optimization can guarantee QoS target throughput for users and significant reduction of 50% for macro and 73% for micro BS respectively daily number of switchings, while still achieving 8% savings in terms of daily energy consumption.
Year
Venue
Field
2017
European Conference on Networks and Communications
Mathematical optimization,Computer science,Efficient energy use,Computer network,Quality of service,Multi-objective optimization,Cellular network,Throughput,Heterogeneous network,Sleep mode,Energy consumption
DocType
ISSN
Citations 
Conference
2475-6490
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Marco Dolfi101.35
Simone Morosi210525.84
Cicek Cavdar316327.77
Enrico Del Re421233.24