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.
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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
- Dynamic spectrum access for wireless multi-hop cognitive radio networks
- Cooperative communications for future wireless networks
- Distributed network channel coding for wireless sensor networks
- Game theory based transmission strategies for cognitive radio
- Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
- Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
- Physical Layer Security
- Demand Side Management in Future Smart Grid: Control, Communication, and Security
- Discovering DNA sequences based on error control codes
- Physical-layer Rateless Codes for Wireless Channels
- Interference Cancellation in Co-working WLANs
- Iterative channel estimation for high mobility MIMO-OFDM systems
- Test
- Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
- Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design
Other opportunities with Professor Branka Vucetic
- Interference Cancellation in Co-working WLANs
- Precoded multiuser MIMO and packet scheduling
- Cooperative transmission in MIMO relay broadcast channels
- Iterative channel estimation for high mobility MIMO-OFDM systems
- Dynamic spectrum access for wireless multi-hop cognitive radio networks
- Cooperative communications for future wireless networks
- Distributed network channel coding for wireless sensor networks
- Game theory based transmission strategies for cognitive radio
- Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
- Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
- Physical Layer Security
- Demand Side Management in Future Smart Grid: Control, Communication, and Security
- Discovering DNA sequences based on error control codes
- Physical-layer Rateless Codes for Wireless Channels
- Design of Network Coding Schemes for Next Generation of Wireless Cellular Systems
- Non-orthogonal multiple access for massive Internet of Things
- Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
- Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design