下行多点联合传输分集组合的fft窗口搜索算法

Guolin Sun, Feng Ye
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引用次数: 0

摘要

本文考虑了多小区环境下的多点联合传输下行链路,在这种环境下,所有基站都会受到不同的定时误差。由于单个UE只能保证与其服务小区的发射机准确同步,因此针对实际解决方案,我们考虑了基于测量的优化方法。在本文中,我们首先分析了来自不同合作单元的多重时序误差对CoMP ue数据解调性能的影响,特别是对于边缘用户。然后,我们提出了一种具有认知测量的联合传输FFT窗口搜索方法,提供了对所有涉及的局部信道估计的准确知识。仿真结果表明,该方法可使下行多点联合传输的解调后信噪比提高约2dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A FFT-window search algorithm for diversity combining in downlink multipoint joint transmission
In this paper, we consider the downlink of multipoint joint transmission in a multi-cell environment, where all of the base stations involved will be subject to different timing errors. Because a single UE can only be guaranteed synchronization with the transmitter of its serving cell accurately, targeting a practical solution, we consider a measurement based optimization for this problem. In this paper, we firstly analyze the impact of multiple timing errors from the different cooperative cells on the data demodulation performance of the CoMP UEs, especially for edge users. Then we propose a FFT window search method with cognitive measurements for joint transmission, provided with the accurate knowledge on all involved local channel estimation. Simulation results have been provided and show it improves the SINR behind demodulation about 2dB for downlink multipoint joint transmission.
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