Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity

Weifeng Zhu
Weifeng Zhu
Yunfeng Guan
Yunfeng Guan
Cited by: 0|Bibtex|Views3
Other Links: arxiv.org

Abstract:

This paper considers the massive connectivity problem in an asynchronous grant-free random access system, where a huge number of devices sporadically transmit data to a base station (BS) with imperfect synchronization. The goal is to design algorithms for joint user activity detection, delay detection, and channel estimation. By exploit...More

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