基于速率约束的OFDM中继链路能效最优资源分配策略  被引量:3

Resource Allocation for Energy Efficiency Maximization Based on Rate Constrains in OFDM DF Relay Link

在线阅读下载全文

作  者:黄高勇[1] 方旭明[1] 陈煜[1] 

机构地区:[1]西南交通大学信息编码与传输省重点实验室,成都610031

出  处:《电子与信息学报》2014年第9期2104-2110,共7页Journal of Electronics & Information Technology

基  金:国家自然科学基金(61071108);中央高校基本科研业务费专项资金青年教师百人计划(SWJTU2011BR065EM)资助课题

摘  要:该文研究解码转发(DF)模式的OFDM中继链路的能效最大化资源分配问题。与现有典型的固定速率最小化发射功率或无约束最大化能效算法不同,该文考虑电路功率消耗的前提下,将问题建模为以最大化系统能效为目标,同时考虑用户最小速率需求、源节点S和中继节点R各自总发射功率约束下的联合子载波配对和最优功率分配问题。证明了速率和功率联合约束条件下中继链路全局能效最优解的唯一性,在此基础上提出一种低复杂度联合最优资源分配策略。仿真结果表明,该文所提方案能够在最小速率和S/R节点最大发射功率约束下自适应分配功率资源,实现系统能效最优,并能够降低链路的中断概率。This paper focuses on the resource allocation problem in OFDM-based Decode-and-Forward (DF) relay link to maximize Energy Efficiency (EE). Different from the exiting researches that minimizing the transmission power under constant date rate or maximizing the EE without constraints, for considering the circuit power consumption, the optimization problem is formulated as maximizing EE under the constraints of the minimum rate requirements and respective transmission powers of the Source node (S) and Relay node (R) while considering the subcarriers paring problem, which is an optimally joint subcarriers pairing and power allocation problem. It is proved that the optimal energy-efficient solution under the constraints for the OFDM-based relay link is globally unique. Furthermore, a low complexity resource allocation scheme is proposed to solve the formulating joint optimization problem. The simulation results show that the proposed scheme can adaptively allocate power resources under the constraints of the minimum data rate and maximum transmission powers of S/R nodes, and achieve the optimal energy efficiency, which also reduces the outage probability of the transmission link.

关 键 词:无线通信 能效 资源分配 中继传输 正交频分复用 

分 类 号:TN929.5[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象