…progress. The project endeavours to develop sensing-assisted communications, communications-assisted sensing and multi-functional AI-aided joint communications and sensing intelligence for mapping, tracking, imaging, incident detection and other situational awareness applications. Additionally,…
…the existing solutions, our proposed G-RML requires much less communication and computational resources and scales well to the scenarios involving the communication of rich semantic meanings consisting of a large…
…computational tasks are offloaded from the IoT device to the edge server via lossy IoT networks. However generally there is a communication system-level trade-off between communication latency and reliability; thus…
The forthcoming communication networks for public safety authorities rely on the fifth generation (5G) of mobile networking technologies. Police officers, paramedics, border guards, as well as fire and rescue personnel,…
…art terrestrial wireless communication, including future key enablers such as mmWave access, will be seamlessly combined with a disruptive satellite communication, forming a ‘multi RAT capable’ 5G network optimised to…
The digital infrastructures research community continues to face numerous new challenges towards the design of the Next Generation Internet. This is an extremely complex ecosystem encompassing communication, networking, data-management and…
End-to-end learning of a communications system using the deep learning-based autoencoder concept has drawn interest in recent research due to its simplicity, flexibility and its potential of adapting to complex…
This paper establishes an analytical framework for the upper bound on the average Age-of-Information (AoI) in first-come-first-served (FCFS) wireless communications where a certain level of outage probability is unavoidable. To…
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is emerging as a promising paradigm by providing computing capabilities within radio access networks in close proximity….
…is unknown. The proposed framework essentially maximizes the number of computed tasks by jointly considering the communication and computation latency. To solve the joint optimization, an online greedy algorithm is…