Rethinking Grant-Free Protocol in mMTC
Minhao Zhu, Yifei Sun, Lizhao You, Zhaorui Wang, Ya-Feng Liu, Shuguang, Cui

TL;DR
This paper proposes a two-stage protocol for mMTC that dynamically estimates active devices to improve identity detection stability, addressing limitations of current grant-free methods with fixed preamble lengths.
Contribution
It introduces a novel two-stage protocol with an estimation phase for active devices and a dynamic preamble allocation scheme to enhance detection performance.
Findings
The proposed protocol outperforms existing methods in identity detection accuracy.
Dynamic preamble allocation improves stability across varying active device counts.
Algorithms effectively estimate active devices, reducing detection complexity.
Abstract
This paper revisits the identity detection problem under the current grant-free protocol in massive machine-type communications (mMTC) by asking the following question: for stable identity detection performance, is it enough to permit active devices to transmit preambles without any handshaking with the base station (BS)? Specifically, in the current grant-free protocol, the BS blindly allocates a fixed length of preamble to devices for identity detection as it lacks the prior information on the number of active devices . However, in practice, varies dynamically over time, resulting in degraded identity detection performance especially when is large. Consequently, the current grant-free protocol fails to ensure stable identity detection performance. To address this issue, we propose a two-stage communication protocol which consists of estimation of in Phase I and…
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Taxonomy
TopicsAdvanced Authentication Protocols Security · Cryptography and Data Security · DNA and Biological Computing
