Enabling Human-Machine Interfaces with 5G RedCap: Architecture, Key Requirements, and Challenges

G wireless communication protocols introduce a new paradigm for Human Machine Interface (HMI), allowing for a seamless user experience everywhere. HMI applications require low latency, balanced data rate, low energy consumption, and cost efficiency. The recent development of 3GPP-based $\mathbf{5 G}$ NR Reduced Capability (RedCap) may serve as the solution to fulfill this objective. This article focuses on the compatibility of the RedCap protocol with developing HMI. We have studied numerous previous research works by other authors related to the requirements of various HMI use cases and conducted a secondary study on how the capabilities of RedCap can satisfy these requrements. We examine the application cases of HMI, such as virtual reality (VR), augmented reality (AR), industrial collaborative robotics (Cobots), and wearables, as well as the RedCap requirements for HMI deployment. Furthermore, we discuss potential technological architectures and characteristics. Comparing the HMI link level requirements with the RedCap link level performance offerings, we observe that RedCap can be a suitable solution to meet the HMI communication demands. Finally, we discuss challenges and potential research directions for accomplishing this goal such as security, privacy, scalability, interoperability, and large level integration.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icei64305.2024.10912368
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enabling Human-Machine Interfaces with 5G RedCap: Architecture, Key Requirements, and Challenges

M. Nazrul Islam, Rupak Kumar Das, Samiul Ahsan Pranto, Al Amin et al.
3 citations
IoT and Edge/Fog Computing
1.05
article

Enabling Human-Machine Interfaces with 5G RedCap: Architecture, Key Requirements, and Challenges

M. Nazrul Islam, Rupak Kumar Das, Samiul Ahsan Pranto, Al Amin, Hossain Md. Mubashshir Jamil
article en
3 citations

Abstract

G wireless communication protocols introduce a new paradigm for Human Machine Interface (HMI), allowing for a seamless user experience everywhere. HMI applications require low latency, balanced data rate, low energy consumption, and cost efficiency. The recent development of 3GPP-based $\mathbf{5 G}$ NR Reduced Capability (RedCap) may serve as the solution to fulfill this objective. This article focuses on the compatibility of the RedCap protocol with developing HMI. We have studied numerous previous research works by other authors related to the requirements of various HMI use cases and conducted a secondary study on how the capabilities of RedCap can satisfy these requrements. We examine the application cases of HMI, such as virtual reality (VR), augmented reality (AR), industrial collaborative robotics (Cobots), and wearables, as well as the RedCap requirements for HMI deployment. Furthermore, we discuss potential technological architectures and characteristics. Comparing the HMI link level requirements with the RedCap link level performance offerings, we observe that RedCap can be a suitable solution to meet the HMI communication demands. Finally, we discuss challenges and potential research directions for accomplishing this goal such as security, privacy, scalability, interoperability, and large level integration.

University of Maryland, Baltimore (US), Pennsylvania State University (US), Islamic University of Technology (BD), United International University (BD)
Openalex Percentile: Top 20%
IoT and Edge/Fog Computing
1.05
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.

Enabling Human-Machine Interfaces with 5G RedCap: Architecture, Key Requirements, and Challenges — M. Nazrul Islam, Rupak Kumar Das, et al. · (2024) | TGRS Research Map | TGRS