Around 70 years ago, Shannon and Weaver have defined communications with three levels: (i) transmission of symbols (the technical problem); (ii) semantic exchange of transmitted symbols (the semantic problem); (iii) effect of semantic information exchange (the effectiveness problem). The first level of communication, which is the transmission of symbols, has been well studied and realized in conventional communication systems. However, nowadays, the vision of the network as an enabler of pervasive intelligent services, with a strong emphasis on its effectiveness and sustainability, suggests that assuming semantics as irrelevant is no longer justified. Thus, how to design semantic and goal-oriented communication systems in sustainable 6G networks to explore the meaning behind the bits and enable brain-like cognition and effective task execution among distributed network nodes remains to be a grand challenge.
This project aims to solve this semantic and goal-oriented communication challenge in 6G with potential business applications with the industry partner under the energy vertical and net-zero strategy, for example, scalable uRLLC to connect massive renewable systems and conduct energy infrastructure inspection using a swarm of drones in real-time.
The candidate will collaborate extensively with Toshiba Bristol Research & Innovation Laboratory.
Supervisors: Dr Yansha Deng and Dr Yichao Jin
This project is open to the UK and international students starting in Oct 2022. Later starting date can be considered.
Entry requirements:
· An MSc degree (or equivalent) or close to completing an MSc degree in Electronic Engineering, Telecommunications, Computer Science, or other related areas.
· English language requirements: IELTS minimum 6.5 overall with a minimum of 6.0 in each skill.
Desired requirements:
· Experience in programming and Machine Learning is essential and programming of wireless communication systems is highly desirable.
· Knowledge of the following programming languages: Python and MATLAB
· Solid mathematical background, including convex optimization and probability theory.
· Working knowledge of Machine Learning algorithms, including either reinforcement learning, deep learning, or a combination of both.
· Excellent presentation and communication skills, the ability to present data to a varied audience and the ability to facilitate the decision-making process.
· A passion for software design and development with an interest in 6G semantic and goal-oriented wireless systems.
To be considered for the position candidates must apply via King’s Apply online application system. Details are available at:
https://www.kcl.ac.uk/engineering/postgraduate/research-degrees
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