Paper Info
Title
Energy-Efficient Power Control In Interference-Limited Spectrum Sharing Networks Based On Multi-Objective Optimization
Abstract
Spectrum sharing networks deployment is considered a promising solution for meeting the exponential increase in demand of data rate in wireless network. However, excessive communication energy consumption and interference is the critical issue, particularly for spectrum sharing networks. In this paper, we propose an energy-efficient power control scheme for downlink transmission of interference-limited spectrum sharing networks, which is formulated as a multi-objective optimization problem based on pricing function. The pricing function is proposed for controlling the inter-tier interference level. The multi-objective optimization problem, considering the mix-min fairness of smallcells and the inter-tier interference constraint to improve the energy efficiency, is introduced in detail. We deal with this problem by using nondominated sorting genetic algorithm version II (NSGA-II). Simulation results show that the proposed energy-efficient power control scheme achieves remarkably excellent performance, comparable with the existing scheme.
Year
Venue
Keywords
2017
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
Spectrum sharing networks, interference, energy-efficient, multi-objective optimization, nondominated sorting genetic algorithm version II
Field
DocType
Citations 
Wireless network,Mathematical optimization,Efficient energy use,Computer science,Power control,Electric power system,Multi-objective optimization,Energy consumption,Optimization problem,Genetic algorithm
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jiajia Zhu101.01
Run-ze Wu2214.14
Ankun Yang300.34
Yanhua He413.05
Hailin Hu503.04
Liangrui Tang64019.00