Large-scale Machine-to-Machine Communications Networks

Summary

Machine-to-machine (M2M) communications has emerged as a new communication paradigm that allows intelligent devices/machines to directly communicate with each other with little or no human intervention. M2M communications has inspired a wide variety of applications in home, building, health, smart grid, industrial, transportation and defense. Comparing to existing human-to-human communications networks, M2M communications networks have different attributes and face many unique challenges that cannot be addressed by existing network protocols.

Supervisor(s)

Professor Yonghui Li, Professor Branka Vucetic

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

In this project, we develop advanced signal processing algorithms and network protocols for large-scale M2M communications networks based on advanced coding theory and cross-layer optimization tools. The research outcomes will lead to cost effective solutions in a multitude of emerging applications in future M2M communications networks.

Want to find out more?

Contact us to find out what’s involved in applying for a PhD. Domestic students and International students

Contact Research Expert to find out more about participating in this opportunity.

Browse for other opportunities within the Electrical and Information Engineering .

Keywords

M2M communications, large-scale, massive multiple access, resource allocation, Cross Layer Optimization, graph codes, coding theory

Opportunity ID

The opportunity ID for this research opportunity is: 1749

Other opportunities with Professor Yonghui Li

Other opportunities with Professor Branka Vucetic