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为了满足用户日益增长的数据流量需求,无线网络基站架构正从严格规划的宏基站转变为多个分布式基站.分布式基站的部署位置具有很强的随机性,不同于传统的基于规则的基站部署模型,在泊松域上可随机部署基站,为此,研究了多输入多输出干扰网络中基于有限反馈的干扰对齐系统性能.首先将基站在泊松域上建模成齐次泊松过程,分析了量化后的信道状态信息的相关统计特征,推导了系统的中断概率和网络容量的近似闭合表达式,通过最大化网络容量的下界得到了最优的发射机部署密度参数.仿真结果验证了所推导的表达式能准确地评估基于有限反馈的干扰对齐系统性能.
In order to meet the increasing demand of users for data traffic, the wireless network base station architecture is changing from a strictly planned macro base station to a plurality of distributed base stations.Distributed base stations have a strong random deployment location, different from the traditional rule-based base stations The model can be deployed and the base station can be deployed randomly in the Poisson domain.Thus, the performance of the interference alignment system based on the limited feedback in MIMO networks is studied.Firstly, the base station is modeled as a Poisson process on the Poisson domain , Analyzes the statistical characteristics of the quantized channel state information, deduces the approximate closed expression of the system’s outage probability and network capacity, and obtains the optimal transmitter deployment density parameter by maximizing the lower bound of network capacity. Simulation results verify The derived expressions accurately evaluate the performance of the interference alignment system based on finite feedback.