Paper Info
Title
Energy Efficiency Optimization in Licensed-Assisted Access.
Abstract
To improve system capacity, licensed-assisted access (LAA) has been proposed for long-term evolution (LTE) systems to use unlicensed bands. However, the energy efficiency (EE) of the LTE system may be degraded by LAA since unlicensed bands are generally less energy-efficient than licensed bands. In this paper, we investigate the EE optimization of LAA systems. We first develop a criterion to determine whether unlicensed bands can be leveraged to improve the EE of LAA systems. We prove that unlicensed bands can be used to improve the EE only when the allocated licensed resource blocks (RBs) are not enough. We then investigate joint licensed and unlicensed RB allocation to maximize the EE of each small cell base station (SBS) in a multi-SBS scenario, taking into account fair resource sharing between LTE and WiFi networks. The complete Pareto optimal EE set can be obtained by the weighted Tchebycheff method. We also develop an algorithm to provide fair EE among different SBSs based on the Nash bargaining solution. Numerical results are presented to confirm our analysis and to demonstrate the effectiveness of the proposed algorithms.
Year
DOI
Venue
2016
10.1109/JSAC.2016.2544605
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
IEEE 802.11 Standard,Resource management,Long Term Evolution,Optimization,Downlink,Base stations,MIMO
Resource management,Base station,Computer science,Efficient energy use,MIMO,Computer network,System capacity,Shared resource,Telecommunications link,Bargaining problem
Journal
Volume
Issue
ISSN
34
4
0733-8716
Citations 
PageRank 
References 
18
0.96
23
Authors
6
Name
Order
Citations
PageRank
Qimei Chen120623.44
Guanding Yu21287101.15
Rui Yin312911.38
Amine Maaref436231.39
Geoffrey Ye Li59071660.27
Aiping Huang626232.43