配电网正交频分复用系统比特功率分配的多进制量子进化算法  

Bit and Power Allocation Based on M-ary Quantum Evolutionary Algorithm for OFDM System Over the Distribution Network

作　　者：张锐[1] 高辉[2] 徐殿国[1] 刘世辉[3] 

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,黑龙江省哈尔滨市150010 [2]西南交通大学交通运输学院,四川省成都市610031 [3]哈尔滨理工大学自动化学院,黑龙江省哈尔滨市150080

出　　处：《中国电机工程学报》2010年第28期88-93,共6页Proceedings of the CSEE

基　　金：黑龙江省自然科学基金项目(F200914)~~

摘　　要：自适应正交频分复用(orthogonal frequency division multiplexing,OFDM)系统的比特功率分配是提高频谱利用率的关键技术。借鉴量子计算的原理和概念提出多进制量子进化算法(multi-ary quantum evolutionary algorithm,MQEA)解决低压配电网在限定功率及系统误码率上限不变条件下,系统传输速率最大化的比特功率分配问题。MQEA将问题解空间的多进制整数编码反向映射为实数染色体编码,并采用互补变异算子进化实数染色体以实现全局搜索和局部搜索的平衡。典型低压配电网信道环境下的仿真实验表明,所提方法的性能与位添加法相当,但明显减少了运行时间,与注水迭代算法相比在相同的传输速率下可节省功率6～16dBm。Bit and power allocation in adaptive orthogonal frequency division multiplexing （OFDM） systems is a crucial technique to improve spectral efficiency. According to the concept and principles of quantum computing, multi-ary quantum evolutionary algorithm （MQEA） is proposed to solve bit and power allocation problem, which maximize the total data rate of the system over the low voltage distribution network with a total power and bit-error rate（BER） constraints. In the MQEA, multi-ary integer code in solution space are inversely mapped into real chromosome code, complementary mutation operator is adopted to realize the balance between exploration and exploitation. environment of the low voltage Simulation results in the distribution network show that the allocation results of the proposed algorithm is the same as that of bit adding algorithm, reducing calculation time, the savable power in MQEA algorithm is 6~16dBm comparing with the water-filling algorithm at the same transmission rate.

关 键 词：电力线通信 正交频分复用 比特功率分配 多进制量子进化算法 

分 类 号：TM73[电气工程—电力系统及自动化]