Research Article
Energy-Efficient Subcarrier-Bit-Power Allocation based on Genetic Algorithm
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256247, author={Congcong Li and Guixia Kang and Ningbo Zhang and Dongyan Huang and Xiaoshuang Liu and Bingning Zhu}, title={Energy-Efficient Subcarrier-Bit-Power Allocation based on Genetic Algorithm}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={energy-efficiency; multi-user; ofdma; genetic algorithm; optimization}, doi={10.4108/icst.chinacom.2014.256247} }- Congcong Li
Guixia Kang
Ningbo Zhang
Dongyan Huang
Xiaoshuang Liu
Bingning Zhu
Year: 2015
Energy-Efficient Subcarrier-Bit-Power Allocation based on Genetic Algorithm
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256247
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 op-timization problem. The simulation results show that the proposed scheme can obtain more satisfied solutions in a shorter time, compared to the traditional methods.