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Telecommunications PhD Projects, Programs & Scholarships in York

We have 18 Telecommunications PhD Projects, Programs & Scholarships in York

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Showing 1 to 15 of 18
  Dstl Research PhD Studentship: Resilient, ultra-dense mesh networks for infrastructureless communications
  Research Group: Communication Technologies
  Prof A Burr
Application Deadline: 30 June 2020

Funding Type

PhD Type

There are many situations in which high rate, reliable wireless communications are crucial but where the necessary infrastructure (base stations, etc) is either unavailable, non-existent or damaged.
  Compressed learning techniques for next generation connected autonomous mobility
  Research Group: Communication Technologies
  Dr Y Ko
Applications accepted all year round

Funding Type

PhD Type

The exploding data traffic is expected to grow at around daily 3 Petabytes by 2022, by a range of the emerging autonomous mobility applications such as connected autonomous vehicles, healthcare autonomy, warehouse robots, and AR/VR entertainment.
  New continuous learning driven techniques for evolvable cross-layered autonomous networks
  Research Group: Communication Technologies
  Dr Y Ko
Applications accepted all year round

Funding Type

PhD Type

This PhD project will research into new technical innovations that can embrace today’s transfer machine learning advances into a process of designing and controlling cross-layered (i.e., PHY and MAC) networks with autonomous mobility nodes in a range of connected autonomous mobility applications.
  5G Wireless Communications from High Altitude Platform Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

Taking into account the significant, ongoing high altitude platform projects by Google and Facebook, this project will examine how a network of high altitude platforms can be used to deliver 5G wireless communications.
  Application of Satellite Medium Access Control Principles to Underwater Acoustic Communication Networks
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

Acoustic waves are widely accepted as the most suitable means of communicating underwater, since radio waves suffer from severe attenuation through water.
  Array Antenna Design Optimisation for 5G / 6G Mobile Communication Systems
  Research Group: Communication Technologies
  Dr S J Porter
Applications accepted all year round

Funding Type

PhD Type

Large array antennas are of great interest for 5G / 6G mobile communication systems.
  Cognition Assisted 5G Small Cell Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will investigate how machine learning based artificial intelligence strategies can be used to control both the radio resources and network topology in small cell 5G networks, likely to be used in dense urban areas, when traffic is dominated by ultra-high definition video from vehicular users.
  Cognition Strategies for Secure Cloud Radio Access Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will investigate how artificial intelligence can be used in future cloud based radio access networks. Such networks will be typical in future 5G and beyond 5G deployments, where due to cost reasons, radio and processing functions will be more centralised.
  Compact Atomic Clocks (Rubidium) with ultra low phase noise and excellent long term stability
  Research Group: Communication Technologies
  Prof J K A Everard
Applications accepted all year round

Funding Type

PhD Type

The aims of this project will be to develop compact Atomic Clocks (Rubidium) with ultra low phase noise and excellent long term stability.
  Crosslayer Design for Cognitive Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will examine how crosslayer design can be used to improve the performance of future cognitive networks, including how cognitive principles can be exploited in 5G and beyond 5G networks.
  Energy-harvesting based MAC protocols for Wireless Sensor Networks
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

A plethora of energy-efficient MAC protocols have been developed for wireless sensor networks based on the assumption of readily available (if somewhat limited) battery power.
  Exploitation of Full-Duplex Capability in Underwater Acoustic Communication Networks at the Medium Access Control Layer
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

Full-duplex has the potential to double the capacity of point-to-point communication links, but these benefits can only be fully realised in communication networks through development of a suitable medium access control layer.
  Game theory based secure transmission techniques for physical layer security
  Research Group: Communication Technologies
  Dr K Cumanan
Applications accepted all year round

Funding Type

PhD Type

Recently, physical layer based secrecy communication has received considerable attention due to its suitability for dynamic network configurations and distributed processing techniques.
  Intelligent Medium Access Control for Underwater Acoustic Communication Networks
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

Most research in underwater acoustic communication deals with the physical layer, with primitive and inflexible multiple access, despite the medium access control layer playing a crucial role in providing efficient communication.
  Predicting the Uncertainty of Electromagnetic Simulations
  Research Group: Communication Technologies
  Dr S J Porter
Applications accepted all year round

Funding Type

PhD Type

When performing an electromagnetic simulation, it is often difficult or time consuming to estimate how accurate the results are. In contrast, when doing electromagnetic measurements, making an estimate of the experimental uncertainty is a routine and well-defined process.
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