6G Networks: Characterisation of human-to-machine (H2M) traffic
Project Leader: Elaine Wong
Collaborators: Prof Martin Maier (Institut National de la Recherche Scientifique (INRS)), Canada Dr Sourav Mondal (Trinity College Dublin) Dr Lihua Ruan (Chinese University of Hong Kong)
Primary Contact: Elaine Wong (email@example.com)
Keywords: human-to-machine (H2M) communication networks; low-latency communication networks; Tactile Internet; traffic characterisation
Disciplines: Electrical & Electronic Engineering
Future 6G networks, which harness real-time and remotely-controlled human-to-machine (H2M) applications such as extended reality and the Internet of Senses, will need to be supported by communication infrastructures that incur very low and stringent end-to-end communication latency of approximately 1 to 10 ms. Addressing this latency challenge through novel AI-assisted resource allocation strategies necessitates a deep understanding of H2M traffic. The main challenge has been the scarcity of real H2M traffic traces, despite the recent interests from both academia and industry. Consequently H2M traffic characteristics/statistics are relatively unknown. This project aims to establish experiments that emulate H2M applications and to develop analytical models for H2M traffic. The key outcome is a deep understanding of the characteristics of H2M traffic and hence its latency and reliability requirements.
This project is presently recruiting PhD candidate(s) with a background in Electrical and Electronic Engineering and/or Computer Science. Interested candidates with a keen interest in experimental investigation and analytical modelling, are encouraged to contact Prof Wong. The successful candidate(s) will be mentored by a team of leading experts with pioneering contributions in broadband access networks, converged fibre-wireless networks, human-to-machine communication networks, 6G networks, Internet-of-Things, optical wireless networks, and the Tactile Internet.
Relevant research papers
- S. Mondal, L. Ruan, M. Maier, D. Larrabeiti, G. Das and E. Wong, “Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks”, in IEEE Open Journal of the Communications Society, vol. 1, pp. 889-899, 2020, doi: 10.1109/OJCOMS.2020.3009023.
- L. Ruan, M. P. I. Dias and E. Wong, “Achieving Low-Latency Human-to-Machine (H2M) Applications: An Understanding of H2M Traffic for AI-facilitated Bandwidth Allocation”, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2020.3007947.
Further information: https://blogs.unimelb.edu.au/ewon/