UKRI-India Future Networks Initiative

Lead Research Organisation: University of Southampton
Department Name: Sch of Electronics and Computer Sci

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50

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Mu X (2022) NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems in IEEE Journal on Selected Areas in Communications

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Nasir A (2022) Low-Resolution RIS-Aided Multiuser MIMO Signaling in IEEE Transactions on Communications

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Nasir A (2022) Finite-Resolution Digital Beamforming for Multi-User Millimeter-Wave Networks in IEEE Transactions on Vehicular Technology

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Nguyen K (2022) 3D UAV Trajectory and Data Collection Optimisation Via Deep Reinforcement Learning in IEEE Transactions on Communications

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Pan D (2024) The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet in IEEE Communications Surveys & Tutorials

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Peng Q (2023) Resource Allocation for Cell-Free Massive MIMO-Aided URLLC Systems Relying on Pilot Sharing in IEEE Journal on Selected Areas in Communications

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Piao J (2021) Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems in IEEE Transactions on Vehicular Technology

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Ragheb M (2022) On the Physical Layer Security of Untrusted Millimeter Wave Relaying Networks: A Stochastic Geometry Approach in IEEE Transactions on Information Forensics and Security

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Ragheb M (2024) RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments in IEEE Transactions on Vehicular Technology

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Rajoriya A (2022) Centralized and Decentralized Channel Estimation in FDD Multi-User Massive MIMO Systems in IEEE Transactions on Vehicular Technology

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Saxena S (2023) Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning in IEEE Open Journal of the Communications Society

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Shan C (2023) Energy-Efficient Time-Modulated Beam-Forming for Joint Communication-Radar Systems in IEEE Transactions on Green Communications and Networking

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Shen L (2023) Five Facets of 6G: Research Challenges and Opportunities in ACM Computing Surveys

 
Description This project substantially contributed towards the evolution of next-generation wireless networks. A few of the key findings are:
1/ The designer can strike a compelling trade-off amongst the entire suite of performance metrics of next-generation networks based on our findings;
2/ The space-air-ground integrated networking (SAGIN) concept is capable of eliminating the coverage holes of existing networks;
3/ New perfectly secure quantum networking concepts were developed;
Exploitation Route These findings will gradually influence both academic and industrial research;
Sectors Aerospace

Defence and Marine

Digital/Communication/Information Technologies (including Software)

Education

Electronics

URL https://www-mobile.ecs.soton.ac.uk/sites/www-mobile.ecs.soton.ac.uk/files/merged-comsoc-course-reading.pdf
 
Description These results have found their way to industry, since Prof. Rob Maunder started the spinoff company AccelerCom;
First Year Of Impact 2023
Sector Aerospace, Defence and Marine,Communities and Social Services/Policy,Electronics
Impact Types Economic

 
Description UKRI - FNI 
Organisation University of Essex
Country United Kingdom 
PI Contribution Essex University - Prof. Gerard Parr UCL - Prof. Steve Hailes Surrey U - Prof. Rahim Tafazolli Indian Institute of Science - Prof. KVS Hari Indian Institute of Technology - Numerous Colleagues BT - Nader Azarmi
Collaborator Contribution As an attractive enabling technology for next-generation wireless communications, network slicing supports diverse customized services in the global space-air-ground integrated network (SAGIN) with diverse resource constraints. In this paper, we dynamically consider three typical classes of radio access network (RAN) slices, namely high-throughput slices, low-delay slices and wide-coverage slices, under the same underlying physical SAGIN. The throughput, the service delay and the coverage area of these three classes of RAN slices are jointly optimized in a non-scalar form by considering the distinct channel features and service advantages of the terrestrial, aerial and satellite components of SAGINs. A joint central and distributed multi-agent deep deterministic policy gradient (CDMADDPG) algorithm is proposed for solving the above problem to obtain the Pareto optimal solutions. The algorithm first determines the optimal virtual unmanned aerial vehicle (vUAV) positions and the inter-slice sub-channel and power sharing by relying on a centralized unit. Then it optimizes the intra-slice sub-channel and power allocation, and the virtual base station (vBS)/vUAV/virtual low earth orbit (vLEO) satellite deployment in support of three classes of slices by three separate distributed units. Simulation results verify that the proposed method approaches the Pareto-optimal exploitation of multiple RAN slices, and outperforms the benchmarkers.
Impact 1/ We surveyed the entire field of open radio access networks and composed a technical report; 2/ Organized a workshop in India with the objective of building a long-term consortium for an India - UK project; 3/ Currently we are organizing a similar one in the UK; 4/ We published numerous research studies;
Start Year 2021