Scalable Code-Expanded Random Access Procedure for Massive MTC in Mobile Networks

This paper presents the performance evaluation of a scalable random access (RA) procedure to cope with massive random access demands in mobile networks. This random access scheme allows access to the network using a codeword formed by n preambles, each transmitted in a different RA slot. This approach significantly increases the number of contention resources available for RA and the number of contending devices supported by the network. An analytical model for the scheme is derived, and an algorithm to use it in practice is also proposed. Numerical results show that the proposal significantly increases the probability of successful random access compared to the state-of-the-art schemes under equivalent network configurations.

Authors

Institutions

Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/wf-iot62078.2024.10811311
Citations
1
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scalable Code-Expanded Random Access Procedure for Massive MTC in Mobile Networks

Carlos A. Astudillo, Nelson L. S. da Fonseca, Eduardo E. Mosca, Silvio Ribeiro
1 citations
Wireless Body Area Networks
0.18
article

Scalable Code-Expanded Random Access Procedure for Massive MTC in Mobile Networks

Carlos A. Astudillo, Nelson L. S. da Fonseca, Eduardo E. Mosca, Silvio Ribeiro
article en
1 citations

Abstract

This paper presents the performance evaluation of a scalable random access (RA) procedure to cope with massive random access demands in mobile networks. This random access scheme allows access to the network using a codeword formed by n preambles, each transmitted in a different RA slot. This approach significantly increases the number of contention resources available for RA and the number of contending devices supported by the network. An analytical model for the scheme is derived, and an algorithm to use it in practice is also proposed. Numerical results show that the proposal significantly increases the probability of successful random access compared to the state-of-the-art schemes under equivalent network configurations.

Universidade Estadual de Campinas (UNICAMP) (BR)
Openalex Percentile: Top 49%
Wireless Body Area Networks
0.18
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.

Scalable Code-Expanded Random Access Procedure for Massive MTC in Mobile Networks — Carlos A. Astudillo, Nelson L. S. da Fonseca, et al. · (2024) | TGRS Research Map | TGRS