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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

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Lu S (2023) The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction in IEEE Transactions on Vehicular Technology

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An J (2024) Adjustable-Delay RIS Is Capable of Improving OFDM Systems in IEEE Transactions on Vehicular Technology

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Xiao Z (2024) Twin-Layer RIS-Aided Differential Index Modulation Dispensing With Channel Estimation in IEEE Transactions on Vehicular Technology

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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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Yu H (2023) Low-Resolution Hybrid Beamforming in Millimeter-Wave Multi-User Systems in IEEE Transactions on Vehicular Technology

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Gopi S (2022) Cooperative 3D Beamforming for Small-Cell and Cell-Free 6G Systems in IEEE Transactions on Vehicular Technology

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Li Q (2022) Reconfigurable Intelligent Surfaces Relying on Non-Diagonal Phase Shift Matrices in IEEE Transactions on Vehicular Technology

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Jafri M (2023) Cooperative Hybrid Transmit Beamforming in Cell-Free mmWave MIMO Networks in IEEE Transactions on Vehicular Technology

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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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Srinivasan M (2021) Airplane-Aided Integrated Next-Generation Networking in IEEE Transactions on Vehicular Technology

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Van Luong T (2022) Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink in IEEE Transactions on Vehicular Technology

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Wu J (2023) When UAVs Meet ISAC: Real-Time Trajectory Design for Secure Communications in IEEE Transactions on Vehicular Technology

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Chen J (2023) LDPC Coded Compressive Sensing for Joint Source-Channel Coding in Wireless Sensor Networks in IEEE Transactions on Vehicular Technology

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Tuan H (2024) Active-RIS Enhances the Multi-User Rate of Multi-Carrier Communications in IEEE Transactions on Vehicular Technology

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Zhang Y (2023) Message Passing-Aided Joint Data Detection and Estimation of Nonlinear Satellite Channels in IEEE Transactions on Vehicular Technology

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Zheng Z (2022) Secure UAV-to-Ground MIMO Communications: Joint Transceiver and Location Optimization in IEEE Transactions on Vehicular Technology

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He H (2023) Sparse Bandit Learning Based Location Management for Space-Ground Integrated Networks in IEEE Transactions on Vehicular Technology

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Chen J (2024) Deep Learning Aided LLR Correction Improves the Performance of Iterative MIMO Receivers in IEEE Transactions on Vehicular Technology

 
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 1/ The research results have found their way to industry, since Prof. Rob Maunder started the spinoff company AccelerCom; 2/ Furthermore, we organized a 'Hothouse' at BT for a large number of ECRs. In addition to research presentations from a large number of industrial speakers, the Satellite Catapult, OFCOM etc the 2-day workshop also touched upon touched transferable skills. 3/ Furthermore, we also organized a 2-day workshop at Surrey University together with the Indian partners. This has been extremely beneficial, because we were able to secure further funding under the auspices of two India-UK projects. One of them is a coordination/networking activity attracting 1.5M funding with the UNI. of East Anglia, UCL and Surrey. The other one is a pure research project in spectrum innovation as well as integrated sensing and communications known as ISAC. This one also has a value of about 1.5 M over four years.
First Year Of Impact 2023
Sector Aerospace, Defence and Marine,Communities and Social Services/Policy,Electronics
Impact Types Cultural

Societal

Economic

 
Description Platform Driving The Ultimate Connectivity
Amount £2,030,861 (GBP)
Funding ID EP/X04047X/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 04/2023 
End 04/2026
 
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