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
Thompson J
(2022)
Editorial A Decade of Green Radio and the Path to "Net Zero": A United Kingdom Perspective
in IEEE Transactions on Green Communications and Networking
Tian Z
(2023)
Distributed Multi-View Sparse Vector Recovery
in IEEE Transactions on Signal Processing
Tuan H
(2024)
RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
in IEEE Transactions on Communications
Van Chien T
(2023)
Space-Terrestrial Cooperation Over Spatially Correlated Channels Relying on Imperfect Channel Estimates: Uplink Performance Analysis and Optimization
in IEEE Transactions on Communications
Van Luong T
(2022)
Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM
in IEEE Journal on Selected Areas in Communications
Van Luong T
(2022)
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink
in IEEE Transactions on Vehicular Technology
Wang C
(2024)
Electromagnetic Information Theory: Fundamentals and Applications for 6G Wireless Communication Systems
in IEEE Wireless Communications
Wang C
(2023)
On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds
in IEEE Communications Surveys & Tutorials
Wang H
(2023)
GALAMC: Guaranteed Authentication Level at Minimized Complexity Relying on Intelligent Collaboration
in IEEE Transactions on Communications
Wang J
(2022)
Unsourced Massive Random Access Scheme Exploiting Reed-Muller Sequences
in IEEE Transactions on Communications
Wang K
(2022)
Joint Task Offloading and Caching for Massive MIMO-Aided Multi-Tier Computing Networks
in IEEE Transactions on Communications
Wang Q
(2022)
Hybrid Nonlinear Transceiver Optimization for the RIS-Aided MIMO Downlink
in IEEE Transactions on Communications
Wang X
(2022)
Joint Hybrid 3D Beamforming Relying on Sensor-Based Training for Reconfigurable Intelligent Surface Aided TeraHertz-Based Multiuser Massive MIMO Systems
in IEEE Sensors Journal
Wang X
(2022)
Joint Bayesian Channel Estimation and Data Detection for OTFS Systems in LEO Satellite Communications
in IEEE Transactions on Communications
Wang X
(2023)
High-Performance Low-Complexity Hierarchical Frequency Synchronization for Distributed Massive MIMO-OFDMA Systems
in IEEE Transactions on Vehicular Technology
Wang Y
(2022)
RIS-Aided Hybrid Massive MIMO Systems Relying on Adaptive-Resolution ADCs: Robust Beamforming Design and Resource Allocation
in IEEE Transactions on Vehicular Technology
Wang Z
(2023)
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink
in IEEE Transactions on Communications
Wei Z
(2022)
Physical Layer Anonymous Precoding: The Path to Privacy-Preserving Communications
in IEEE Wireless Communications
Wei Z
(2021)
Orthogonal Time-Frequency Space Modulation: A Promising Next-Generation Waveform
in IEEE Wireless Communications
Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
in IEEE Wireless Communications Letters
Wu J
(2023)
When UAVs Meet ISAC: Real-Time Trajectory Design for Secure Communications
in IEEE Transactions on Vehicular Technology
Wu K
(2023)
Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink
in IEEE Transactions on Communications
Xiang L
(2024)
Multi-Domain Polarization for Enhancing the Physical Layer Security of MIMO Systems
in IEEE Transactions on Communications
Xiang L
(2021)
Soft-Output Successive Cancellation Stack Polar Decoder
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
Xiang L
(2021)
Low Complexity Detection for Spatial Modulation Aided Sparse Code Division Multiple Access
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
Xing C
(2023)
A KKT Conditions Based Transceiver Optimization Framework for RIS-Aided Multiuser MIMO Networks
in IEEE Transactions on Communications
Xing C
(2024)
A General Matrix Variable Optimization Framework for MIMO Assisted Wireless Communications
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
Xiong Y
(2022)
Quantum Error Mitigation Relying on Permutation Filtering
in IEEE Transactions on Communications
Xiong Y
(2022)
The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
in IEEE Transactions on Communications
Xiong Y
(2023)
Circuit Symmetry Verification Mitigates Quantum-Domain Impairments
in IEEE Transactions on Signal Processing
Xiong Y
(2022)
Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms
in IEEE Signal Processing Letters
Xiu H
(2023)
Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO
in IEEE Transactions on Vehicular Technology
Xu C
(2022)
Reconfigurable Intelligent Surface Assisted Multi-Carrier Wireless Systems for Doubly Selective High-Mobility Ricean Channels
in IEEE Transactions on Vehicular Technology
Xu C
(2024)
Noncoherent Orthogonal Time Frequency Space Modulation
in IEEE Transactions on Wireless Communications
Xu C
(2022)
Turbo Detection Aided Autoencoder for Multicarrier Wireless Systems: Integrating Deep Learning Into Channel Coded Systems
in IEEE Transactions on Cognitive Communications and Networking
| 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 | These results have found their way to industry, since Prof. Rob Maunder started the spinoff company AccelerCom; |
| First Year Of Impact | 2023 |
| Sector | Aerospace, Defence and Marine,Communities and Social Services/Policy,Electronics |
| Impact Types | Economic |
| 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 |