Unified Joint Symbol and Channel Estimation with Interference Subtraction for One-Way and Two-Way MIMO Relaying Systems

L. Ximenes
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引用次数: 2

Abstract

Among the various technologies considered as keys to the implementation of 5G wireless networks, one that stands out is the use of relaying stations capable of increasing coverage area whilst providing cooperative diversity. This work addresses the issue of joint estimation of symbols and channels in a MIMO Amplify-and-Forward (AF) system, whether the relay works on a One-Way Relay (OWR) or Two-Way Relay (TWR) basis. In order to deal with this task, a higher-order multilinear approach is used to model the space-time coding and decoding processes carried out in the communicating nodes. Particularly to mitigate the problem of interference between users, a routine named Interference Subtraction (IS) is used in conjunction with the proposed semi-blind receiver, called DKRF-IS. In this work, uniqueness and identifiability conditions required for the use of the receiver are developed. Performance evaluation using Monte Carlo simulations corroborate the validity of the presented equations and the effectiveness of the proposed receiver.
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单向和双向MIMO中继系统的干扰减法统一联合符号和信道估计
在被认为是实现5G无线网络的关键的各种技术中,一个突出的技术是使用能够增加覆盖面积同时提供合作分集的中继站。这项工作解决了MIMO放大和转发(AF)系统中符号和通道的联合估计问题,无论中继是在单向中继(OWR)还是双向中继(TWR)基础上工作。为了解决这一问题,采用一种高阶多线性方法对通信节点进行的空时编码和解码过程进行建模。特别是为了减轻用户之间的干扰问题,一种名为干扰减法(IS)的例程与提议的半盲接收器(称为DKRF-IS)一起使用。在这项工作中,开发了使用接收器所需的唯一性和可识别性条件。利用蒙特卡罗模拟验证了所提方程的有效性和所提接收机的有效性。
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