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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。
The allocation of bit power to an adaptive orthogonal frequency division multiplexing (OFDM) system is a key technique for improving the spectrum utilization. Based on the principle and concept of quantum computing, a multi-ary quantum evolutionary algorithm (MQEA) is proposed to solve the problem of maximizing the system transmission rate under the condition of limited upper limit of power and system error rate Power distribution issues. MQEA inversely maps multi-scale integer codes of the problem-solving space into real-number chromosome codes and uses complementary mutation operators to evolve real-number chromosomes to balance the global search with the local search. Simulation results show that the performance of the proposed method is equivalent to that of the bit additive method, but the running time is obviously reduced. Compared with the iterative waterflooding algorithm, the proposed method can save 6 ~ 16dBm of power at the same transmission rate.