Title
Energy-efficient subcarrier-bit-power allocation based on genetic algorithm
Abstract
Energy-efficient transmission is an important issue for wireless communication systems, due to the increased energy consumption and limited battery capacity. In this paper, we study the energy-efficient transmission in a single cellular downlink multi-user Orthogonal Frequency Division Multiple Access (OFDMA) system. The transmit power consumption and the circuit power consumption are both taken into consideration, when optimizing the total bits transmitted per Joule of energy. This optimization problem has nonlinear constraints, which are commonly solved by Lagrange-based algorithm. However, these methods are time-consuming and are not optimal. To address this issue, we propose an adaptive subcarrier, bit, and power allocation scheme to optimize energy-efficient transmissions based on genetic algorithms. Moreover, we improve the genetic algorithm with a new elitist method and a penalty handling method that are specific to our optimization problem. The simulation results show that the proposed scheme can obtain more satisfied solutions in a shorter time, compared to the traditional methods.
Year
DOI
Venue
2014
10.1109/CHINACOM.2014.7054363
ChinaCom
Keywords
Field
DocType
ofdm modulation,cellular radio,frequency division multiple access,genetic algorithms,multiuser channels,power consumption,telecommunication power management,wireless channels,lagrange based algorithm,ofdma system,energy-efficient subcarrier-bit-power allocation,energy-efficient transmission,genetic algorithm,multiuser orthogonal frequency division multiple access,nonlinear constraints,penalty handling method,single cellular downlink,wireless communication systems,energy-efficiency,multi-user,ofdma,optimization,energy efficiency,wireless communication,resource management,ofdm
Subcarrier,Mathematical optimization,Transmitter power output,Computer science,Efficient energy use,Orthogonal frequency-division multiple access,Energy consumption,Optimization problem,Genetic algorithm,Orthogonal frequency-division multiplexing
Conference
Citations 
PageRank 
References 
0
0.34
13
Authors
7
Name
Order
Citations
PageRank
congcong li110.69
Guixia Kang210636.59
Ningbo Zhang39113.95
Dong-Yan Huang49218.60
Xiaoshuang Liu554.15
bingning zhu611.03
Hao Wu79238.83