基于原型LDPC码的MIMO认知无线电系统干扰消除

Kaiyao Wang, Yang Xiao, Yongli An
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引用次数: 0

摘要

在当前的MIMO认知无线电系统中,认知用户(CU)和主用户(PU)不能在一个信道内同时通信。为了解决这一问题,本文提出了一种基于原始LDPC码和干扰抵消的MIMO认知无线电系统方案。该方法将原型LDPC码应用于MIMO认知无线电系统中,可以有效地消除多用户干扰和信道噪声干扰。该方法的核心思想是,根据原型LPDC码和相同类型用户(CU1到CU2, PU1到PU2)与不同类型用户(CU1到PU2, PU1到CU2)之间信道衰落的差异,将其他同信道用户信号和信道噪声视为给定CU或PU接收器上的新干扰。通过将接收到的信号与强制为零(ZF)的干扰抵消矩阵相乘,并对修改后的接收信号进行解码,CU或PU接收器可以从同一类型的用户那里获得所需的信息。该方法可使MIMO认知无线电系统的通信容量提高1倍。与直接提取用户信息的方法相比,该方法在瑞利平衰落信道下获得了约12dB的编码增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MIMO cognitive radio system interference cancellation based on protograph LDPC codes
In the current MIMO cognitive radio system, the cognitive user (CU) and the primary user (PU) cannot communicate simultaneously in a channel. In order to solve this problem, this paper proposes a novel scheme for MIMO cognitive radio system based on protograph LDPC codes and interference cancellation. Protograph LDPC codes are applied to MIMO cognitive radio system in this approach, which can cancel multi-user interference and channel noise interference. The core idea of the proposed approach is that, depending on protograph LPDC codes and the difference of channel fading between the same type users (CU1 to CU2, PU1 to PU2) and different type users (CU1 to PU2, PU1 to CU2), the other co-channel user signals and channel noise are looked as a new interference at the given CU or PU receiver. By multiplying received signal with a zero forcing (ZF) interference cancellation matrix and decoding modified received signal, the CU or PU receiver can obtain the desired information from the same type user. The proposed approach can increase one time of communication capacity in MIMO cognitive radio system. Comparing with the approach of directly extracting user information, our approach obtained about 12dB coding gain in Rayleigh flat-fading channel.
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