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.
People |
ORCID iD |
| Lajos Hanzo (Principal Investigator) |
Publications
Lu S
(2023)
The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction
in IEEE Transactions on Vehicular Technology
Lu S
(2024)
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges
in IEEE Internet of Things Journal
Ma K
(2023)
Deep Learning for mmWave Beam-Management: State-of-the-Art, Opportunities and Challenges
in IEEE Wireless Communications
Ma Y
(2021)
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
in IEEE Transactions on Communications
Ma Y
(2022)
Generalized Approximate Message Passing Equalization for Multi-Carrier Faster-Than-Nyquist Signaling
in IEEE Transactions on Vehicular Technology
Maity P
(2023)
Robust Hybrid Transceiver Designs for Linear Decentralized Estimation in mmWave MIMO IoT Networks in the Face of Imperfect CSI
in IEEE Internet of Things Journal
Maity P
(2024)
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks
in IEEE Internet of Things Journal
Mehrotra A
(2024)
Online Bayesian Learning-Aided Sparse CSI Estimation in OTFS Modulated MIMO Systems for Ultra-High-Doppler Scenarios
in IEEE Transactions on Communications
Mehrotra A
(2025)
Multi-dimensional Sparse CSI Acquisition for Hybrid mmWave MIMO OTFS Systems
in IEEE Transactions on Communications
Mehrotra A
(2023)
Data-Aided CSI Estimation Using Affine-Precoded Superimposed Pilots in Orthogonal Time Frequency Space Modulated MIMO Systems
in IEEE Transactions on Communications
Meng K
(2024)
Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
in IEEE Transactions on Vehicular Technology
Meng K
(2025)
Integrated Sensing and Communication Meets Smart Propagation Engineering: Opportunities and Challenges
in IEEE Network
Mobini Z
(2024)
Cell-Free Massive MIMO Surveillance of Multiple Untrusted Communication Links
in IEEE Internet of Things Journal
Mu X
(2022)
NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems
in IEEE Journal on Selected Areas in Communications
Mu X
(2024)
Reconfigurable Intelligent Surface-Aided Near-Field Communications for 6G: Opportunities and Challenges
in IEEE Vehicular Technology Magazine
Nasir A
(2022)
Finite-Resolution Digital Beamforming for Multi-User Millimeter-Wave Networks
in IEEE Transactions on Vehicular Technology
Nasir A
(2022)
Low-Resolution RIS-Aided Multiuser MIMO Signaling
in IEEE Transactions on Communications
Nasir A
(2022)
Relay-Aided Multi-User OFDM Relying on Joint Wireless Power Transfer and Self-Interference Recycling
in IEEE Transactions on Communications
Nguyen K
(2022)
3D UAV Trajectory and Data Collection Optimisation Via Deep Reinforcement Learning
in IEEE Transactions on Communications
Pan D
(2024)
The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet
in IEEE Communications Surveys & Tutorials
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
Peng Z
(2022)
Multi-Pair Two-Way Massive MIMO DF Relaying Over Rician Fading Channels Under Imperfect CSI
in IEEE Wireless Communications Letters
Piao J
(2021)
Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems
in IEEE Transactions on Vehicular Technology
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
Ragheb M
(2024)
RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments
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
Rajoriya A
(2022)
Centralized and Decentralized Channel Estimation in FDD Multi-User Massive MIMO Systems
in IEEE Transactions on Vehicular Technology
Rajput K
(2023)
Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy-Harvesting-Aided IoT Networks
in IEEE Sensors Journal
Rajput K
(2021)
Bayesian Learning-Based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI
in IEEE Transactions on Communications
Rajput K
(2023)
Robust Linear Decentralized Tracking of a Time-Varying Sparse Parameter Relying on Imperfect CSI
in IEEE Internet of Things Journal
Rajput K
(2023)
Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks
in IEEE Internet of Things Journal
Saxena S
(2023)
Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning
in IEEE Open Journal of the Communications Society
Schreier A
(2023)
Coexistence of Quantum and 1.6 Tbit/s Classical Data Over Fibre-Wireless-Fibre Terminals
in Journal of Lightwave Technology
Shan C
(2023)
Energy-Efficient Time-Modulated Beam-Forming for Joint Communication-Radar Systems
in IEEE Transactions on Green Communications and Networking
Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
in IEEE Transactions on Communications
Shen L
(2023)
Five Facets of 6G: Research Challenges and Opportunities
in ACM Computing Surveys
Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications
Shi S
(2023)
Deep-Unfolding Neural-Network Aided Hybrid Beamforming Based on Symbol-Error Probability Minimization
in IEEE Transactions on Vehicular Technology
Singh J
(2023)
Hybrid Transceiver Design and Optimal Power Allocation for the Cognitive mmWave Multiuser MIMO Downlink Relying on Limited Feedback
in IEEE Open Journal of Vehicular Technology
Singh J
(2023)
Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems
in IEEE Open Journal of 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 |