[1]周玲玲,解培中,李汀. 基于能量效率的改进型LDD资源分配算法[J].计算机技术与发展,2016,26(07):40-45.
　ZHOU Ling-ling,XIE Pei-zhong,LI Ting. Advanced LDD Resource Allocation Algorithm Based on Energy-efficient[J].,2016,26(07):40-45.
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 基于能量效率的改进型LDD资源分配算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年07期
页码:
40-45
栏目:
智能、算法、系统工程
出版日期:
2016-07-10

文章信息/Info

Title:
 Advanced LDD Resource Allocation Algorithm Based on Energy-efficient
文章编号:
1673-629X（2016)07-0040-06
作者:
 周玲玲; 解培中; 李汀
 南京邮电大学 通信与信息工程学院
Author(s):
 ZHOU Ling-ling; XIE Pei-zhong; LI Ting
关键词:
 ; 正交频分多址接入; 资源分配; LDD; 能量效率
Keywords:
 ; OFDMA; resource allocation; Lagrangian dual decomposition; energy efficiency
分类号:
TP301.6
文献标志码:
A
摘要:
 无线通信系统巨大的能量消耗已经引起广泛关注,以能效为导向的绿色通信设计已成为一个热点研究方向。文中对正交频分多址接入( Orthogonal Frequency Division Multiple Access,OFDMA)多用户下行链路系统的高能效资源分配策略进行了研究。 OFDMA下行链路资源分配算法,一般以最大化用户和速率、最小化发射功率或用户和速率与发射功率的比值最大化为目标对子载波和功率进行分配。有别于传统方法,文中提出了一种基于能量效率最优的拉格朗日对偶分解( LDD)算法,并对目标函数进行改进,将分数规划问题转化为一般的凸规划问题进行求解,降低了计算的复杂度。该算法将优化问题分解为两个子问题：子载波调度和能效功率分配。算法首先采用迭代运算动态分配子载波和功率,然后用二分搜索算法得到能量效率的最优值。仿真结果表明,文中算法能有效提高OFDMA系统的能量效率,并大大地降低了计算的复杂度。
Abstract:
 The enormous energy consumption of wireless communication systems has aroused universal concerns throughout the world. The energy-efficient oriented design for green communications has become a hot research direction. In this paper,the high energy-effi-cient resource allocation strategy is studied in multiuser for Orthogonal Frequency Division Multiple Access ( OFDMA) downlink sys-tem. The main objective of the OFDMA downlink resource allocation focuses on three aspects:weighted sum rate maximization ( WSR-max),weighted sum power minimization (WSPmin) or weighted the ratio of sum rate and sum transmission power maximization. In contrast to traditional methods,in this paper,Lagrangian dual decomposition algorithm of subcarrier and power allocation for OFDMA downlink system with advanced objective function is proposed. The energy-efficient resource allocation problem can be converted into a more tractable convex optimization,and the computational complexity has been greatly reduced. The optimization problem is divided into two subproblems:subcarrier scheduling and power allocation. First,the algorithm uses the iteration to dynamically allocate subcarrier and power,and conducts the bisection search method to get the optimal energy efficiency. Simulation shows that the proposed algorithm can improve energy efficiency significantly for OFDMA system,and reduce the computational complexity greatly.

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更新日期/Last Update: 2016-09-28