Achieving Ultra-High Reliability for Haptic Communications in 6G Mobile Networks

Haptic communications require ultra-high reliability to provide real-time interact among human beings and remote machines. 6G mobile networks (beyond 5G) are the most prominent candidates to support haptic communications. This article describes technologies in 6G mobile networks, and how these technologies can support haptic communications. Reliability challenges to enable haptic communications are discussed by considering millimeter wave (mmWave) propagation features. To achieve ultra-high handoff reliability for haptic communications, we introduce a centralized system embedded with Markov decision process to dynamically determine the admissions of transmission requests aiming to mitigate handoff failure. We also discuss potential future work on ensuring handoff reliability for multiple parallel links in haptic communications.

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Publication Details

Journal
IEEE Network
Published
2024-08-12
DOI
https://doi.org/10.1109/mnet.2024.3441937
Citations
3
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.55

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article

Achieving Ultra-High Reliability for Haptic Communications in 6G Mobile Networks

Guofang Wu, Jian Qiao, Haixia Cui, Yejun He
3 citations
IEEE Network
Wireless Body Area Networks
0.55
article

Achieving Ultra-High Reliability for Haptic Communications in 6G Mobile Networks

Guofang Wu, Jian Qiao, Haixia Cui, Yejun He
article en
3 citations

Abstract

Haptic communications require ultra-high reliability to provide real-time interact among human beings and remote machines. 6G mobile networks (beyond 5G) are the most prominent candidates to support haptic communications. This article describes technologies in 6G mobile networks, and how these technologies can support haptic communications. Reliability challenges to enable haptic communications are discussed by considering millimeter wave (mmWave) propagation features. To achieve ultra-high handoff reliability for haptic communications, we introduce a centralized system embedded with Markov decision process to dynamically determine the admissions of transmission requests aiming to mitigate handoff failure. We also discuss potential future work on ensuring handoff reliability for multiple parallel links in haptic communications.

IEEE NetworkVol. 39(3)
Shenzhen University (CN), South China Normal University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 38%
Wireless Body Area Networks
0.55
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Achieving Ultra-High Reliability for Haptic Communications in 6G Mobile Networks — Guofang Wu, Jian Qiao, et al. · IEEE Network (2024) | TGRS Research Map | TGRS