Sub-sampling of channels with time and frequency sparsity access

被引：0

作者：

Louet, Yves ^{[1
]}

Savaux, Vincent ^{[2
]}

Kountouris, Apostolos ^{[3
]}

Moy, Christophe ^{[1
]}

机构：

[1] Cent Supelec, IETR, Cesson Sevigne, France

[2] B Com, Rennes, France

[3] Orange Labs, Grenoble, France

来源：

2017 XXXIIND GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM OF THE INTERNATIONAL UNION OF RADIO SCIENCE (URSI GASS) | 2017年

关键词：

Sub-Nyquist sampling; sparsity; Multi-channel access; Occupancy problem; Internet of things;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper shows that sub-sampling of signals can help in reducing the amount of data to be processed and stored when time and frequency sparsity is considered. The context is the one of the Internet of Things (IoT) for which a huge quantity of users (i.e. objects) communicate with very few time and frequency accesses. Taking advantage of the occupancy theory of probabilities, we propose a theoretical model for such communications and we show that the sampling frequency of signals can be significantly reduced under these assumptions.

引用

页数：4

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