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
Chen Y
(2023)
Underwater Photon-Counting Systems Under Poisson Shot Noise: Rate Analysis and Power Allocation
in IEEE Transactions on Communications
Cheng Y
(2024)
Achievable Rate Optimization of the RIS-Aided Near-Field Wideband Uplink
in IEEE Transactions on Wireless Communications
Cui J
(2022)
Quantum Approximate Optimization Algorithm Based Maximum Likelihood Detection
in IEEE Transactions on Communications
Cui J
(2021)
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Real Flight Data in the North-Atlantic Region
in IEEE Open Journal of Vehicular Technology
Cui J
(2021)
Twin-Component Near-Pareto Routing Optimization for AANETs in the North-Atlantic Region Relying on Real Flight Statistics
in IEEE Open Journal of Vehicular Technology
Ding X
(2024)
Interference Management by Harnessing Multi-Domain Resources in Spectrum-Sharing Aided Satellite-Ground Integrated Networks
in IEEE Transactions on Vehicular Technology
Dong F
(2023)
Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security
in IEEE Transactions on Green Communications and Networking
Egilmez Z
(2022)
A Soft-Input Soft-Output Polar Decoding Algorithm for Turbo-Detection in MIMO-Aided 5G New Radio
in IEEE Transactions on Vehicular Technology
Egilmez Z
(2023)
Soft-In Soft-Out Polar Decoding Aided Three-Stage Concatenated Iterative MIMO-Turbo Transceivers
in IEEE Open Journal of Vehicular Technology
Fang H
(2023)
Collaborative Authentication for 6G Networks: An Edge Intelligence Based Autonomous Approach
in IEEE Transactions on Information Forensics and Security
Fang Z
(2022)
Age of Information in Energy Harvesting Aided Massive Multiple Access Networks
in IEEE Journal on Selected Areas in Communications
Feng C
(2022)
Joint Hybrid and Passive RIS-Assisted Beamforming for mmWave MIMO Systems Relying on Dynamically Configured Subarrays
in IEEE Internet of Things Journal
Feng X
(2023)
Deep Learning-Based Soft Iterative-Detection of Channel-Coded Compressed Sensing-Aided Multi-Dimensional Index Modulation
in IEEE Transactions on Vehicular Technology
Feng X
(2024)
Reduced Complexity Learning-Assisted Joint Channel Estimation and Detection of Compressed Sensing-Aided Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology
Feng X
(2025)
Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink
in IEEE Open Journal of Vehicular Technology
Feng X
(2023)
Near-Instantaneously Adaptive Learning-Assisted and Compressed Sensing-Aided Joint Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology
Gadamsetty P
(2023)
Learning a Common Dictionary for CSI Feedback in FDD Massive MU-MIMO-OFDM Systems
in IEEE Open Journal of Vehicular Technology
Gao Q
(2023)
Joint Location and Beamforming Design for STAR-RIS Assisted NOMA Systems
in IEEE Transactions on Communications
Gao Q
(2023)
Jointly Optimized Beamforming and Power Allocation for Full-Duplex Cell-Free NOMA in Space-Ground Integrated Networks
in IEEE Transactions on Communications
Gao W
(2025)
Molecular Code-Division Multiple Access for Nanosensor Networks: Signaling, Detection, and Performance
in IEEE Sensors Journal
Gao W
(2023)
Interference Mitigation-Enabled Signal Detection in Diffusive Molecular Communications Systems With Molecular-Type Spreading
in IEEE Internet of Things Journal
Gao X
(2023)
Multi-Objective Optimization of URLLC-Based Metaverse Services
in IEEE Transactions on Communications
Garg A
(2024)
Angularly Sparse Channel Estimation in Dual- Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning
in IEEE Transactions on Communications
Garg A
(2025)
Bayesian Learning Aided Simultaneous Sparse Estimation of Dual-Wideband THz Channels in Multi-User Hybrid MIMO Systems
in IEEE Transactions on Vehicular Technology
Ghadi F
(2025)
Performance Analysis of FAS-Aided NOMA-ISAC: A Backscattering Scenario
in IEEE Internet of Things Journal
Ghadi F
(2026)
Fluid Antenna-Aided Rate-Splitting Multiple Access
in IEEE Transactions on Vehicular Technology
Gong S
(2021)
A Unified MIMO Optimization Framework Relying on the KKT Conditions
in IEEE Transactions on Communications
Gong T
(2025)
Rydberg Atomic Quantum Receivers for Multi-Target DOA Estimation
in IEEE Transactions on Vehicular Technology
Gopi S
(2022)
Cooperative 3D Beamforming for Small-Cell and Cell-Free 6G Systems
in IEEE Transactions on Vehicular Technology
Guo B
(2024)
Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning
in IEEE Internet of Things Journal
Guo H
(2023)
Joint Reconfigurable Intelligent Surface Location and Passive Beamforming Optimization for Maximizing the Secrecy-Rate
in IEEE Transactions on Vehicular Technology
Gupta A
(2025)
Bayesian Learning Aided Parameter Estimation and Joint Beamformer Design in mmWave MIMO-OFDM ISAC Systems
in IEEE Transactions on Communications
Gupta A
(2024)
An Affine Precoded Superimposed Pilot-Based mmWave MIMO-OFDM ISAC System
in IEEE Open Journal of the Communications Society
Hanzo L
(2025)
Quantum Information Processing, Sensing, and Communications: Their Myths, Realities, and Futures
in Proceedings of the IEEE
Hawkins H
(2024)
IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
in IEEE Open Journal of Vehicular Technology
Hawkins H
(2025)
Iterative Soft-MMSE Detection Aided AFDM and OTFS
in IEEE Open Journal of Vehicular Technology
Hawkins H
(2025)
CDMA/OTFS Sensing Outperforms Pure OTFS at the Same Communication Throughput
in IEEE Open Journal of Vehicular Technology
He D
(2021)
Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization
in IEEE Transactions on Communications
He H
(2023)
Sparse Bandit Learning Based Location Management for Space-Ground Integrated Networks
in IEEE Transactions on Vehicular Technology
He H
(2023)
Towards Reliable Space-Ground Integrated Networks: From System-Level Design to Implementation
in IEEE Network
Hoang P
(2022)
Learning Unbalanced and Sparse Low-Order Tensors
in IEEE Transactions on Signal Processing
Hoang T
(2022)
RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks
in IEEE Transactions on Vehicular Technology
Hoang T
(2024)
Physical Layer Authentication and Security Design in the Machine Learning Era
in IEEE Communications Surveys & Tutorials
| 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 |