时延服务质量约束下的高能效功率分配算法  

Energy-efficient power allocation algorithm with delay QoS constraints

作　　者：左加阔[1] 赵力[1] 邹采荣[1] 

机构地区：[1]东南大学教育部水声信号处理重点实验室,南京210096

出　　处：《东南大学学报（自然科学版）》2015年第4期635-640,共6页Journal of Southeast University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61375028;61301219;61273266;61201326)

摘　　要：为了在保障系统Qo S的同时提高系统的能量效率,以有效容量与功耗的比值作为优化目标,研究了时延Qo S约束下认知OFDMA系统中的高能效功率分配问题.为了保护主用户传输不受次用户传输的影响,对次用户的发射功率和次用户对主用户的干扰进行了约束.由于原优化问题为非线性分式规划问题,很难对其进行直接求解.为便于求解,首先通过引入变量将原优化问题转化为易于处理的一维优化问题和传统的有效容量最大化问题,然后采用黄金分割法对上述等效问题进行求解,最后提出了一种迭代的高能效功率分配算法.实验结果表明,与传统的有效容量最大化算法相比,提出的算法能够有效地提高系统的能量效率.In order to guarantee the quality of service （QoS） of the wireless communication system and improve the energy efficiency, the power allocation problem in the cognitive orthogonal frequen- cy division multiple access （OFDMA） system is studied by taking the ratio of the effective capacity to power consumption as the optimization goal. To protect primary users＇ transmission from the in- fluence of secondary user＇ transmission, the transmission power of a secondary user and the interfer- ence introduced to primary users are constrained. Since the original optimization problem is nonlinear fractional programming problem, it is difficult to solve it directly. Therefore, the original problem is first transformed into one-dimensional variable optimization problem and traditional effective capacity maximization problem, and then the golden section algorithm is utilized to solve the above equivalent problem. Finally, an iterative energy-efficient power allocation algorithm is proposed. Simulation re- sults prove that the proposed energy-efficient power allocation algorithm can improve the energy effi- ciency compared with the traditional effective capacity maximization algorithm.

关 键 词：认知无线电 功率分配 能量效率 有效容量 

分 类 号：TN92[电子电信—通信与信息系统]