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
Zhu W
(2021)
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
in IEEE Transactions on Communications
Zhu W
(2023)
Low-Complexity Pareto-Optimal 3D Beamforming for the Full-Dimensional Multi-User Massive MIMO Downlink
in IEEE Transactions on Vehicular Technology
Zhu W
(2024)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
in IEEE Transactions on Communications
Zhu W
(2022)
Collaborative Beamforming Aided Fog Radio Access Networks
in IEEE Transactions on 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
Zhu W
(2024)
Max-Min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
in IEEE Transactions on Wireless Communications
Zhu L
(2022)
Channel Modeling for Orbital Angular Momentum Based Underwater Wireless Optical Systems
in IEEE Transactions on Vehicular Technology
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
Zhong R
(2022)
Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer
in IEEE Journal on Selected Areas in Communications
Zhi K
(2023)
Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Imperfect CSI
in IEEE Transactions on Information Theory
Zheng Z
(2022)
Secure UAV-to-Ground MIMO Communications: Joint Transceiver and Location Optimization
in IEEE Transactions on Vehicular Technology
Zheng K
(2023)
Vision-Assisted Millimeter-Wave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions, and Open Challenges
in IEEE Vehicular Technology Magazine
Zheng D
(2023)
Dynamic NOMA-Based Computation Offloading in Vehicular Platoons
in IEEE Transactions on Vehicular Technology
Zhao M
(2023)
Secrecy Rate Maximization of RIS-Assisted SWIPT Systems: A Two-Timescale Beamforming Design Approach
in IEEE Transactions on Wireless Communications
Zhao L
(2022)
Optimization of the Power-to-Velocity Ratio in the Downlink of Vehicular Networks
in IEEE Transactions on Vehicular Technology
Zhao L
(2021)
Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges
in IEEE Access
Zhao J
(2022)
Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) Assisted UAV Communications
in IEEE Journal on Selected Areas in Communications
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
Zhang Y
(2023)
Message Passing-Aided Joint Data Detection and Estimation of Nonlinear Satellite Channels
in IEEE Transactions on Vehicular Technology
Zhang X
(2022)
Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection
in Journal of Lightwave Technology
Zhang X
(2023)
Caching Scalable Videos in the Edge of Wireless Cellular Networks
in IEEE Network
Zhang S
(2023)
Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization
in IEEE Journal on Selected Areas in Communications
Zhang J
(2024)
Adaptive Coding and Modulation-Aided Mobile Relaying for Millimeter-Wave Flying Ad Hoc Networks
in IEEE Internet of Things Journal
Zhang J
(2023)
Multiple-Objective Packet Routing Optimization for Aeronautical Ad-Hoc Networks
in IEEE Transactions on Vehicular Technology
Zhang J
(2023)
Joint Precoding and CSI Dimensionality Reduction: An Efficient Deep Unfolding Approach
in IEEE Transactions on Wireless Communications
Zhang C
(2023)
Semi-Integrated-Sensing-and-Communication (Semi-ISaC): From OMA to NOMA
in IEEE Transactions on Communications
Zhai X
(2022)
Joint Beamforming Aided Over-the-Air Computation Systems Relying on Both BS-Side and User-Side Reconfigurable Intelligent Surfaces
in IEEE Transactions on Wireless Communications
Zhai X
(2023)
Simultaneously Transmitting and Reflecting (STAR) RIS Assisted Over-the-Air Computation Systems
in IEEE Transactions on Communications
Yue Q
(2024)
Hybrid Terahertz Beamforming Relying on Channel Sparsity and Angular Orthogonality
in IEEE Transactions on Vehicular Technology
Yue P
(2023)
Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead
in IEEE Communications Surveys & Tutorials
Yu T
(2024)
Joint Optimization of the Channel Estimator, Transmit Precoder and Receiver in Large-Scale MIMO Systems
in IEEE Transactions on Vehicular Technology
Yu H
(2024)
Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming
in IEEE Transactions on Vehicular Technology
Yu H
(2023)
Low-Resolution Hybrid Beamforming in Millimeter-Wave Multi-User Systems
in IEEE Transactions on Vehicular Technology
Yu H
(2023)
Regularized Zero-Forcing Aided Hybrid Beamforming for Millimeter-Wave Multiuser MIMO Systems
in IEEE Transactions on Wireless Communications
Yu H
(2022)
RIS-Aided Zero-Forcing and Regularized Zero-Forcing Beamforming in Integrated Information and Energy Delivery
in IEEE Transactions on Wireless Communications
Yu H
(2022)
Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling
in IEEE Transactions on Wireless Communications
Yin W
(2023)
Artificial-Noise-Aided CQI-Mapped Generalized Spatial Modulation
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 | 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 |