作者
Zhijin Qin, Jiancun Fan, Yuanwei Liu, Yue Gao, Geoffrey Ye Li
发表日期
2018/4/26
期刊
IEEE Signal Processing Magazine
卷号
35
期号
3
页码范围
40-58
出版商
IEEE
简介
Sparse representation can efficiently model signals in different applications to facilitate processing. In this article, we will discuss various applications of sparse representation in wireless communications, with a focus on the most recent compressive sensing (CS)-enabled approaches. With the help of the sparsity property, CS is able to enhance the spectrum efficiency (SE) and energy efficiency (EE) of fifth-generation (5G) and Internet of Things (IoT) networks.
引用总数
201820192020202120222023202418364239353814
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