Suboptimal Online Resource Allocation in Hybrid Energy Supplied OFDMA Cellular Networks

被引：8
|
作者：
Yang, Jian [1 ,2 ]
Yang, Qinghai [1 ,2 ]
Shen, Zhong [1 ,2 ]
Kwak, Kyung Sup [3 ]
机构：
[1] Xidian Univ, Sch Telecom Engn, State Key Lab ISN, Xian 710071, Peoples R China
[2] Xidian Univ, Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710071, Peoples R China
[3] Inha Univ, Dept Informat & Commun Engn, Inchon 22212, South Korea
来源：
IEEE COMMUNICATIONS LETTERS | 2016年 / 20卷 / 08期
基金：
新加坡国家研究基金会;
关键词：
Hybrid energy supply; OFDMA; QoS; power and sub-carrier allocation; SYSTEMS;
D O I：
10.1109/LCOMM.2016.2575834
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, by jointly considering the harvested energy control, power allocation, and sub-carrier assignment, we address the grid energy conservation problem in QoS guaranteed orthogonal frequency division multiple Access (OFDMA) cellular networks, in which the base station is supplied by both grid and renewable energy. By using the stochastic optimization theory and the Lagrange dual method, we propose a suboptimal online resource allocation (SORA) algorithm, which is of low computational complexity. In particular, the SORA algorithm is asymptotically optimal as the battery capacity is to be infinite. Simulation results demonstrate the advantages of the SORA algorithm.
引用
收藏
页码：1639 / 1642
页数：4
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