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面向3G和4G的下一代无线通信系统复杂性远高于传统系统,基于经验法则的传统设计方法具有较大的局限性,理论仿真支撑的网络规划和系统仿真显得尤为重要。近年来计算机软件仿真技术和无线通信数学模型已渐趋成熟,目前无线通信系统的设计标准化流程一般是从软件仿真开始。特别是对于3G和4G无线系统,由于系统复杂性的提高,在系统设计和规划阶段必须首先在仿真环境中测量各项系统性能指标。本文首先介绍基于MATLAB的无线通信系统仿真技术和无线通信仿真系统的常用测量指标,然后通过搭建基于DCA算法的无线通信仿真系统在软件环境中测量了相关的性能指标。文章最后利用该测试手段结合DCA算法在不均衡用户分布环境中的性能表现的实例给出了软件仿真结果和仿真数据分析。
The complexity of the next-generation wireless communication system for 3G and 4G is much higher than that of the traditional system. The traditional design method based on the rule of thumb has great limitations. The network planning and system simulation supported by the theoretical simulation are especially important. In recent years, computer software simulation technology and wireless communication mathematical models have matured. At present, the design standardization process of wireless communication systems generally begins with software simulation. Especially for 3G and 4G wireless systems, due to the increased complexity of the system, various system performance metrics must first be measured in the simulation environment during the system design and planning stages. This paper firstly introduces the simulation technology of wireless communication system based on MATLAB and the commonly used measurement index of wireless communication simulation system, and then measures the related performance indexes in the software environment by setting up the wireless communication simulation system based on DCA algorithm. In the end, the paper gives an example of software performance and simulation data by using this test method combined with DCA algorithm in the performance of unbalanced user distribution.