Average Performance of Minimum Estimation and Combining Generalized Selection Combining in Cellular Systems

Kyu-Sung Hwang, Young-Chai Ko, M.-S. Alouini, Hong-Chuan Yang
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Abstract

This paper presents the average performance of the adaptive minimum estimation-combining generalized selection combining (MEC-GSC) scheme when used in a cellular deployment. In evaluating the performance, we consider a practical cellular environment in which we adopt log-normal shadowing for the local mean on top of Rayleigh fading, under the assumption that a user equipped with MEC-GSC is located uniformly over a cell of circular shape. Our numerical and simulation results show that the scheme under consideration considerably reduces the average receiver complexity of channel estimation and the average power drain from the battery while satisfying the desired performance requirement
蜂窝系统中最小估计与组合广义选择组合的平均性能
本文介绍了自适应最小估计组合广义选择组合(MEC-GSC)方案在蜂窝部署中的平均性能。在评估性能时,我们考虑了一个实际的细胞环境,在假设配备了MEC-GSC的用户均匀地位于圆形细胞上的情况下,我们在瑞利衰落之上对局部平均值采用对数正态阴影。数值和仿真结果表明,该方案在满足预期性能要求的同时,显著降低了信道估计的平均接收机复杂度和电池的平均功耗
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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