空间调制无线光多输入多输出通信系统中自适应功率分配算法

发布时间：2018-11-03 21:40

【摘要】：在空间调制(SM)无线光多输入多输出(MIMO)通信(SM-OMIMO)系统中,为了在调制方法固定的条件下使系统的传输容量最大化,提出了一种新型自适应功率分配算法(PAA)。新算法采用蒙特卡罗模拟过程选择与具体信噪比(SNR)相对应的最优化功率分配系数。建立了室内通信环境模型,推导了SM-OMIMO系统的离散输入连续输出无记忆信道(DCMC)容量表达式;分析了新算法的分配原则及过程,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SNR条件下采用自适应PAA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,在高SNR条件下更易达到DCMC容量饱和值,该结果可清晰表明信道的分集特征。因此,采用自适应PAA是提高SM-OMIMO系统传输速率的有效途径。
[Abstract]:In order to maximize the transmission capacity of spatially modulated (SM) wireless optical multiple-input multiple-output (SM-OMIMO) communication systems, a novel adaptive power allocation algorithm, (PAA)., is proposed in order to maximize the transmission capacity of the system under the condition of fixed modulation methods. The new algorithm uses Monte Carlo simulation process to select the optimal power allocation coefficients corresponding to the specific signal-to-noise ratio (SNR). The indoor communication environment model is established and the (DCMC) capacity expression of discrete input continuous output memoryless channel for SM-OMIMO system is derived. The allocation principle and process of the new algorithm are analyzed, and the system performance is simulated. The effects of each allocation algorithm on the DCMC capacity gain of the system are compared under different transmit and receive array combinations. The simulation results show that the DCMC capacity of the system with adaptive PAA under low SNR condition is obviously higher than that of the traditional fixed factor allocation algorithm and uniform allocation algorithm, and it is easier to reach the saturation value of DCMC capacity under the condition of high SNR. The results can clearly show the diversity characteristics of the channel. Therefore, adaptive PAA is an effective way to improve the transmission rate of SM-OMIMO system.
【作者单位】：西北工业大学航海学院;西北工业大学深圳研究院;
【基金】：国家自然科学基金(61404362) 深圳市基础研究基金(JCYJ20170306152455554) 中央高校基础研究基金(3102016ZY005)
【分类号】：TN929.1

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