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空间调制无线光MIMO通信(SM-OMIMO)系统中,为了在调制方法固定的条件下最大化系统的无记忆高斯信道(DCMC)传输容量,提出了一种新的自适应功率分配算法。新算法采用蒙特卡洛模拟过程来选择与具体信噪比相对应的最优化功率分配系数。在对室内环境建模的基础上,推导了SM-OMIMO系统的DCMC容量表达式;分析了新算法分配原则及过程,并仿真研究了其系统性能,比较了不同发射接收阵组合条件下,各分配算法对系统DCMC容量增益的影响。仿真结果表明,低信噪比条件下自适应功率分配的系统DCMC容量明显高于传统的固定因子分配算法和均匀分配算法,并在高信噪比条件下更易达到容量饱和值,可清晰表明信道的分集特征。因此,采用自适应功率分配算法是提高SM-OMIMO系统传输速率的有效途径。
In the SM-OMIMO system, a new adaptive power allocation algorithm is proposed to maximize the memoryless memory Gaussian channel (DCMC) transmission capacity of a system under a fixed modulation scheme. The new algorithm uses the Monte Carlo simulation process to select the optimal power allocation coefficient corresponding to the specific signal-to-noise ratio. Based on the modeling of indoor environment, the DCMC capacity expression of SM-OMIMO system is deduced. The principle and process of new algorithm allocation are analyzed. The system performance is simulated and compared with the combination of different transmitting and receiving arrays Effect of Allocation Algorithm on System DCMC Capacity Gain. The simulation results show that the capacity of DCMC with adaptive power allocation under low signal-to-noise ratio is significantly higher than that of the traditional fixed-factor assignment algorithm and uniform assignment algorithm, and it is easier to achieve the capacity saturation under high signal-to-noise ratio Diversity features. Therefore, using adaptive power allocation algorithm is an effective way to improve the transmission rate of SM-OMIMO system.