Sparse Multiuser Signatures for Massive Grant-Free Transmissions

In this paper, we propose a design of sparse multiuser signatures to increase the capacity of grant-free high-overloading transmissions for massive machine-type-communication (mMTC). The proposed sparse signature is composed of a short spreading sequence and a sparse pattern. The design not only lowers the correlation between the signatures but also brings in additional randomness and sparsity to the sequences. Therefore, it benefits from less-interfered symbol streams to present geometric characteristics of the modulation constellation at the receiving end, which enables blind multiuser detection even if the number of active users is large. The design method can also be applied to highly-correlated spreading sequences, and the correlation is lowered and more users can be supported. Numerical results are provided in terms of block error rate, which demonstrates that the proposed sparse signature has a similar error performance to the optimized schemes while the number of active users is increased sianificantly.

Authors

Institutions

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/iccc62609.2024.10941918
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sparse Multiuser Signatures for Massive Grant-Free Transmissions

Zhongwei Si, Xinyi Sui, Li Huang
Power Line Communications and Noise
article

Sparse Multiuser Signatures for Massive Grant-Free Transmissions

Zhongwei Si, Xinyi Sui, Li Huang
article en

Abstract

In this paper, we propose a design of sparse multiuser signatures to increase the capacity of grant-free high-overloading transmissions for massive machine-type-communication (mMTC). The proposed sparse signature is composed of a short spreading sequence and a sparse pattern. The design not only lowers the correlation between the signatures but also brings in additional randomness and sparsity to the sequences. Therefore, it benefits from less-interfered symbol streams to present geometric characteristics of the modulation constellation at the receiving end, which enables blind multiuser detection even if the number of active users is large. The design method can also be applied to highly-correlated spreading sequences, and the correlation is lowered and more users can be supported. Numerical results are provided in terms of block error rate, which demonstrates that the proposed sparse signature has a similar error performance to the optimized schemes while the number of active users is increased sianificantly.

Beijing University of Posts and Telecommunications (CN)
Partnerships for the goals
Openalex Percentile: Top 73%
Power Line Communications and Noise
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.