采用分布式压缩感知降低多普勒效应的影响

Syed Zaka Haider, Omer Rasheed, F. Kulsoom, Hassan Nazeer Chaudhry
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引用次数: 1

摘要

信道状态信息(CSI)在5G无线网络中至关重要,因为在大规模多输入多输出(MIMO)系统中进行波束形成和均衡时必须利用这些信息。由于用户的移动性,渠道会不断变化;因此,收购CSI将变得具有挑战性。正交频分复用(OFDM)是提高MIMO系统数据传输速率和频谱效率的一种常用的多载波方案。在基于OFDM的系统中,由于系统的移动性,较强的干扰会使接收到的信号失真,产生泄漏效应。然而,由于OFDM系统的移动性,导致接收信号失真和泄漏效应,因此受到很强的干扰。为了减少干扰和泄漏问题,本研究工作采用了基于分布式压缩感知的框架。此外,通过利用分布式联合稀疏性,还可以降低导频开销和系统复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reducing Impact of Doppler Effect by Employing Distributed Compressive Sensing
Channel state information (CSI) is essential in a 5G wireless network since this information has to be utilized while doing beamforming and equalization in a massive multiple-input multiple-output (MIMO) system. Due to the mobility of the user, the channel will change continuously; therefore, the acquisition of CSI will become challenging. Orthogonal frequency division multiplexing (OFDM) is well known multicarrier scheme to enhance data rates and improve spectrum efficiency of the MIMO system. Although with OFDM based system, because of mobility, a strong interference can distort the received signal and produce a leakage effect. However, OFDM systems suffer strong interference due to mobility resulting in distortion of the received signal and leakage effect. In order to mitigate interference and leakage problems, this research work employs a distributed compressive sensing-based framework. Besides that, by exploiting the distributed joint sparsity, pilot overhead and system complexity are also reduced.
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