针对电力线通信的限制条件,探讨在每自适应正交频分复用(orthogonal frequency division multiplexing,OFDM)符号内各用户要求速率、各子信道分配最大功率和比特数约束下,多用户在多子信道上自适应比特和功率分配的数学模型,提出2种新的基于用户优先级的功率自适应动态资源分配算法,其不同之处是,多用户在同频子信道下功率分配时,一是基于Perron-Frobenius理论,另一是基于非合作博弈论。在典型电力线信道环境下仿真分析算法的性能,并分析干扰因子和定价因子对算法性能的影响。结果表明,基于非合作博弈论的资源分配算法可以通过定价因子的改变来控制分配的功率过大等问题,从而能更好地满足电力线通信系统中高速率、低功耗和低复杂度的要求。
The subcarrier, bit and power assignment model for multi-user adaptive optical frequency division multiplexing (OFDM) systems was analyzed with the consideration of the total bits and the power spectrum as well as the maximal bits number for every subcarrier in each OFDM symbol. Then two novel resource dynamic allocation algorithms with the power adaptation were proposed based on the user priority, which differ from each other at the power allocation for multi-user in same subcarriers. One algorithm is based on Perron-Frobenius theory and the other is based on non-cooperative game theory. The algorithms were tested in the typical power-line channel environment, and the performances of algorithms as well as the effects of interference gene and pricing gene were analyzed. The results illustrate that the resource dynamic allocation algorithm based on non-cooperative game theory can control the problems of too much assigned power, etc, by changing the pricing gene, thus it can better satisfy the requirements of high rate, low power and low complexity for the power-line communications systems.