UKRI-India Future Networks Initiative
Lead Research Organisation:
University of Southampton
Department Name: School of Electronics and Computer Science
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.
People |
ORCID iD |
| Lajos Hanzo (Principal Investigator) |
Publications
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
Fang H
(2023)
Collaborative Authentication for 6G Networks: An Edge Intelligence Based Autonomous Approach
in IEEE Transactions on Information Forensics and Security
Zhi K
(2023)
Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Imperfect CSI
in IEEE Transactions on Information Theory
Li Z
(2024)
Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer
in IEEE Transactions on Intelligent Transportation Systems
Lin J
(2024)
A Data-Driven Base Station Sleeping Strategy Based on Traffic Prediction
in IEEE Transactions on Network Science and Engineering
Hoang P
(2022)
Learning Unbalanced and Sparse Low-Order Tensors
in IEEE Transactions on Signal Processing
Tian Z
(2023)
Distributed Multi-View Sparse Vector Recovery
in IEEE Transactions on Signal Processing
Xiong Y
(2023)
Circuit Symmetry Verification Mitigates Quantum-Domain Impairments
in IEEE Transactions on Signal Processing
Xiang L
(2023)
Polar Coded Integrated Data and Energy Networking: A Deep Neural Network Assisted End-to-End Design
in IEEE Transactions on Vehicular Technology
Singh J
(2025)
Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles
in IEEE Transactions on Vehicular Technology
Jafri M
(2023)
Cooperative Hybrid Transmit Beamforming in Cell-Free mmWave MIMO Networks
in IEEE Transactions on Vehicular Technology
Xing C
(2023)
A Unified Joint Optimization of Training Sequences and Transceivers Based on Matrix-Monotonic Optimization
in IEEE Transactions on Vehicular Technology
Srinivasan M
(2021)
Airplane-Aided Integrated Next-Generation Networking
in IEEE Transactions on Vehicular Technology
Chang H
(2021)
Low-Complexity Adaptive Optics Aided Orbital Angular Momentum Based Wireless Communications
in IEEE Transactions on Vehicular Technology
Jafri M
(2025)
Robust Hybrid Beamforming in Cooperative Cell-Free mmWave MIMO Networks Relying on Imperfect CSI
in IEEE Transactions on Vehicular Technology
Xiao Z
(2024)
Twin-Layer RIS-Aided Differential Index Modulation Dispensing With Channel Estimation
in IEEE Transactions on Vehicular Technology
Zhao G
(2024)
Energy-Spectral-Efficient Heterogeneous Cellular Networks: Joint Optimization of Cross-Tier Inter-BS Cooperation and BS Deployment
in IEEE Transactions on Vehicular Technology
Yin W
(2023)
Artificial-Noise-Aided CQI-Mapped Generalized Spatial Modulation
in IEEE Transactions on Vehicular Technology
An J
(2022)
Low-Complexity Improved-Rate Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
in IEEE Transactions on Vehicular Technology
He H
(2023)
Sparse Bandit Learning Based Location Management for Space-Ground Integrated Networks
in IEEE Transactions on Vehicular Technology
Nasir A
(2022)
Finite-Resolution Digital Beamforming for Multi-User Millimeter-Wave Networks
in IEEE Transactions on Vehicular Technology
Chen Y
(2024)
Enhancing the Downlink Rate Fairness of Low-Resolution Active RIS-Aided Signaling by Closed-Form Expression-Based Iterative Optimization
in IEEE Transactions on Vehicular Technology
Zhu W
(2023)
Low-Complexity Pareto-Optimal 3D Beamforming for the Full-Dimensional Multi-User Massive MIMO Downlink
in IEEE Transactions on Vehicular Technology
Hoang T
(2022)
RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks
in IEEE Transactions on Vehicular Technology
Rai S
(2024)
Energy Efficiency Optimization of FBMC/OQAM-Based Massive MIMO Systems Subject to Electromagnetic Exposure Constraints
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 | EPSRC Phase 2- UK-India Future Networks Initiative NetworkPlus 2025-2029 |
| Amount | £1,250,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2025 |
| End | 01/2029 |
| 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 |