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
Liu M
(2023)
Sensing-Communication Coexistence vs. Integration
in IEEE Transactions on Vehicular Technology
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
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
An J
(2024)
Codebook-Based Solutions for Reconfigurable Intelligent Surfaces and Their Open Challenges
in IEEE Wireless Communications
Xing C
(2024)
A General Matrix Variable Optimization Framework for MIMO Assisted Wireless Communications
in IEEE Transactions on Vehicular Technology
Zhang J
(2024)
Adaptive Coding and Modulation-Aided Mobile Relaying for Millimeter-Wave Flying Ad Hoc Networks
in IEEE Internet of Things Journal
Ragheb M
(2024)
RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments
in IEEE Transactions on Vehicular Technology
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
Yu H
(2024)
Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming
in IEEE Transactions on Vehicular Technology
An J
(2024)
Adjustable-Delay RIS Is Capable of Improving OFDM Systems
in IEEE Transactions on Vehicular Technology
Li Q
(2024)
Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments
in IEEE Transactions on Communications
An J
(2024)
Stacked Intelligent Metasurface-Aided MIMO Transceiver Design
in IEEE Wireless Communications
Meng K
(2024)
Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS 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
Li Z
(2024)
Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer
in IEEE Transactions on Intelligent Transportation Systems
Liu M
(2024)
A Nonorthogonal Uplink/Downlink IoT Solution for Next-Generation ISAC Systems
in IEEE Internet of Things Journal
Liu X
(2024)
The Road to Near-Capacity CV-QKD Reconciliation: An FEC-Agnostic Design
in IEEE Open Journal of the Communications Society
Ding X
(2024)
Interference Management by Harnessing Multi-Domain Resources in Spectrum-Sharing Aided Satellite-Ground Integrated Networks
in IEEE Transactions on Vehicular Technology
Maity P
(2024)
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks
in IEEE Internet of Things Journal
Chen J
(2024)
Estimation of Dispersive High-Doppler Channels in the RIS-Aided mmWave Internet of Vehicles
in IEEE Internet of Things Journal
Hoang T
(2024)
Physical Layer Authentication and Security Design in the Machine Learning Era
in IEEE Communications Surveys & Tutorials
Xu S
(2024)
Blockage-Resilient Hybrid Transceiver Optimization for mmWave Communications
in IEEE Transactions on Wireless Communications
Jafri M
(2024)
Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks
in IEEE Open Journal of Vehicular Technology
Sui Z
(2024)
Performance Analysis and Approximate Message Passing Detection of Orthogonal Time Sequency Multiplexing Modulation
in IEEE Transactions on Wireless Communications
Zhu W
(2024)
Max-Min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
in IEEE Transactions on Wireless Communications
Hawkins H
(2024)
IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
in IEEE Open Journal of Vehicular Technology
Zhu W
(2024)
A New Class of Analog Precoding for Multi-Antenna Multi-User Communications Over High-Frequency Bands
in IEEE Transactions on Wireless Communications
Rai S
(2024)
Energy Efficiency Optimization of FBMC/OQAM-Based Massive MIMO Systems Subject to Electromagnetic Exposure Constraints
in IEEE Transactions on Vehicular Technology
Mobini Z
(2024)
Cell-Free Massive MIMO Surveillance of Multiple Untrusted Communication Links
in IEEE Internet of Things Journal
Xu C
(2024)
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM
in IEEE Transactions on Communications
Zhu W
(2024)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
in IEEE Transactions on Communications
Jafri M
(2024)
Cooperative Hybrid Beamforming for the Mitigation of Realistic Asynchronous Interference in Cell-Free mmWave MIMO Networks
in IEEE Transactions on Communications
Zhou G
(2024)
Multiobjective Optimization of Space-Air-Ground-Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms
in IEEE Internet of Things Journal
Yu T
(2024)
Joint Optimization of the Channel Estimator, Transmit Precoder and Receiver in Large-Scale MIMO Systems
in IEEE Transactions on Vehicular Technology
Li Q
(2024)
Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-Free Networks Under Hardware Impairments
in IEEE Transactions on Wireless Communications
Pan D
(2024)
The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet
in IEEE Communications Surveys & Tutorials
Liu C
(2024)
RIS-Assisted Precoding Spatial Modulation: Optimal Design and Performance Analysis
in IEEE Access
Mu X
(2024)
Reconfigurable Intelligent Surface-Aided Near-Field Communications for 6G: Opportunities and Challenges
in IEEE Vehicular Technology Magazine
Li Q
(2024)
Stacked Intelligent Metasurfaces for Holographic MIMO-Aided Cell-Free Networks
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
Tuan H
(2024)
Active-RIS Enhances the Multi-User Rate of Multi-Carrier Communications
in IEEE Transactions on Vehicular Technology
Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
in IEEE Wireless Communications Letters
Li Q
(2024)
Ergodic Spectral Efficiency Analysis of Intelligent Omni-Surface Aided Systems Suffering From Imperfect CSI and Hardware Impairments
in IEEE Transactions on Communications
Li Q
(2024)
Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems
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 |