DrWibowo Hardjawana

Senior Lecturer in Telecommunications Engineering

Faculty of Engineering

Research projects & supervision summary

Project Opportunities

Title: Logic Development of MAC Systems for Wireless Communications

Summary of opportunity:

 

Research Area:

Wireless Communications, 5G, 6G , Long-Range WiFi, IoT, Artificial Intelligence

 

Opportunity synopsis:

 

This industrial PhD project will be jointly supervised with our industry partner, Morse Micro, a leader in the design and manufacturing of Wi-Fi HaLow solutions. Wi-Fi HaLow is based on the IEEE 802.11ah standard and targets long-range and wide-range wireless internet-of-things (IoT) applications with transmission rates ranging from 0.3 to 234 Mbps using the unregulated frequency band around 900MHz. Collision as a result of contention access has been identified as one of the issues that prevents achieving optimal wireless capacity in the above systems. The identified features that can control contention in IEEE 802.11ah are Target Wake Time (TWT), Restricted Access Window (RAW)  and modulation coding rates (MCS). TWT permits an access point (AP) to define a specific time or set for individual stations to access the medium. RAW allows partitioning of the stations within a Basic Service Set (BSS) into groups and restricting channel access only to stations belonging to a given group at any given period. MCS determines the length of transmission frames. We will develop a mathematical formulation and artificial intelligence (AI) model for scheduler logic and validate the results via theoretical analysis and network simulators, culminating in hardware prototypes. The project will also investigate MAC level system performance for different operating bands (such as ISM 2.4 GHz band) and propose improvements on IEEE 802.11n MAC layers. The PhD candidate must be willing to spend between 50% and 75% of the time at the partner company offices when necessary and to adapt the research directions if needed.

 

How to Apply: To apply, please email wibowo.hardjawana@sydney.edu.au the following:

  • CV
  • Transcripts
  • A short description of why you are interested

 

 

RESEARCH PROJECTS & ACTIVITIES

  • RESEARCH-BASED DEGREE SUPERVISION
    End-to-end learning framework for the Physical layer
  • RESEARCH-BASED DEGREE SUPERVISION
    Faster Retransmission Techniques for IR-E-HARQ-based 5G NR Systems
  • RESEARCH-BASED DEGREE SUPERVISION
    Machine Learning for Massive Connections in Wireless Networks
  • RESEARCH-BASED DEGREE SUPERVISION
    Multi-Modulation End-to-End Learning with CWGAN Channel Surrogate and Neuromorphic Receiver for Energy-Efficient Wireless Systems
  • RESEARCH-BASED DEGREE SUPERVISION
    Pioneering Advanced Techniques in Semantic Wireless Communication for 6G and Beyond 6G Wireless Communications
  • RESEARCH-BASED DEGREE SUPERVISION
    Programmable Scheduler Architectures For Multi-tenant Wireless Networks
  • RESEARCH-BASED DEGREE SUPERVISION
    Quality of service improvement in interference-limited 5G networks
  • RESEARCH-BASED DEGREE SUPERVISION
    Radio Resource Management for New Application Scenarios in 5G: Optimization and Deep Learning
  • RESEARCH-BASED DEGREE SUPERVISION
    RIS-Aided Perceptive Mobile Network in High Mobility System
  • RESEARCH-BASED DEGREE SUPERVISION
    Scheduler Designs in Wireless Networks
  • RESEARCH-BASED DEGREE SUPERVISION
    Symbol Detection in 5G and Beyond Networks
  • RESEARCH-BASED DEGREE SUPERVISION
    Untrained Neural Network based Symbol Detection for OTFS Systems