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引用次数: 0
摘要
本文对多输入多输出异构LTE-Advanced网络中微蜂窝和宏蜂窝的用户容量性能分析进行了评估。该分析使用了最先进的3D光线追踪技术,用于大量的微型和宏蜂窝基站和用户位置。设计并在MATLAB中实现了基于3D扩展信道模型的基带2×2 MIMO LTE-A链路级模拟器,以确定视距链路和非视距链路在微单元和宏单元中的用户性能。在分析所有可用的调制和编码方案的基础上,采用接收比特互信息率抽象方法确定最佳物理层吞吐量。评估了微蜂窝和宏蜂窝用户的分组错误率和每平方米最佳容量。结果表明,在LTE-Advanced网络中,微型蜂窝的部署可用于提高现有宏网络的容量和性能。
Performance capacity of MIMO heterogeneous LTE-advanced network
This paper evaluates the user capacity performance analysis of pico-cells and macro-cells in multiple-input multiple-output heterogeneous LTE-Advanced networks. The analysis makes use of state-of-the-art 3D ray-tracing for a large number of pico and macro-cell base station and user locations. A baseband 2×2 MIMO LTE-A link level simulator via 3D extended channel model was designed and implemented in MATLAB to determine the user performance in pico-cells and macro-cells for line-of-sight links and non-line-of-sight link. The received bit mutual information rate abstraction method is used to determine the optimum physical layer throughput based on analysis of all available modulation and coding schemes. Packet error rate and optimum capacity per meter squared are evaluated for pico-cellular and macro-cellular users. Results show that the deployment of pico-cells can be used to improve existing macro network capacity and performance in an LTE-Advanced network.