Performance Analysis of MRC Diversity for Spectrum Sharing Systems with Imperfect Channel Estimation

Yu-zhen Huang, Yunpeng Cheng, Xueqiang Zheng, Jinlong Wang
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Abstract

In this paper, we analyze the performance of maximum ratio combining (MRC) diversity in spectrum sharing systems with imperfect channel estimation. Considering the limited power and number of pilot symbols, we study the impact of imperfect channel estimation about the secondary transmission link on the performance of the spectrum sharing system. Specifically, the exact closed-form expressions for the outage probability and average symbol error rate (SER) of spectrum sharing systems are derived, and the impact of various key system parameters, such as interference temperature, number of antennas, and channel estimation error, is investigated. Moreover, simple asymptotic expressions for the outage probability and average SER at the high signal-to-noise-ratio regime are provided, based on which the diversity and coding gains achieved by the secondary system are characterized. The finding of this paper suggests that zero diversity gain is attained due to imperfect channel estimation whereas a full diversity can be achieved under the perfect channel estimation case.
不完全信道估计下频谱共享系统MRC分集性能分析
本文分析了不完全信道估计下频谱共享系统的最大比组合分集性能。考虑到导频信号的功率和数量有限,研究了二次传输链路的不完全信道估计对频谱共享系统性能的影响。具体而言,推导了频谱共享系统的中断概率和平均符号误码率的精确封闭表达式,并研究了干扰温度、天线数量和信道估计误差等关键系统参数对系统中断概率和平均符号误码率的影响。此外,给出了高信噪比下的中断概率和平均SER的简单渐近表达式,并在此基础上对二次系统的分集和编码增益进行了表征。本文的研究结果表明,在不完全信道估计情况下,分集增益为零,而在完全信道估计情况下,分集增益为全。
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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