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
Li Q
(2022)
Reconfigurable Intelligent Surfaces Relying on Non-Diagonal Phase Shift Matrices
in IEEE Transactions on Vehicular Technology
Li Q
(2024)
Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems
in IEEE Transactions on Vehicular Technology
Li Q
(2023)
Reconfigurable Intelligent Surface Aided Amplitude- and Phase-Modulated Downlink Transmission
in IEEE Transactions on Vehicular Technology
Li Q
(2023)
Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise
in IEEE Transactions on Vehicular Technology
Li Q
(2024)
Low-Overhead Channel Estimation for RIS-Aided Multi-Cell Networks in the Presence of Phase Quantization Errors
in IEEE Transactions on Vehicular Technology
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
(2023)
Achievable Rate Analysis of the STAR-RIS-Aided NOMA Uplink in the Face of Imperfect CSI and Hardware Impairments
in IEEE Transactions on Communications
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
Li Q
(2024)
Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments
in IEEE Transactions on Communications
Li S
(2022)
Faster-Than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA
in IEEE Journal on Selected Areas in Communications
Li X
(2023)
Integrated Human Activity Sensing and Communications
in IEEE Communications Magazine
Li X
(2023)
Single-Photon-Memory Measurement-Device-Independent Quantum Secure Direct Communication-Part II: A Practical Protocol and its Secrecy Capacity
in IEEE Communications Letters
Li X
(2023)
Single-Photon-Memory Measurement-Device-Independent Quantum Secure Direct Communication-Part I: Its Fundamentals and Evolution
in IEEE Communications Letters
Lin Y
(2023)
Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning
in IEEE Transactions on Vehicular Technology
Liu C
(2024)
RIS-Assisted Precoding Spatial Modulation: Optimal Design and Performance Analysis
in IEEE Access
Liu D
(2022)
Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective Optimization
in IEEE Internet of Things Journal
Liu D
(2022)
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data
in IEEE Wireless Communications
Liu K
(2022)
Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission
in IEEE Transactions on Communications
Liu M
(2023)
Performance Analysis and Power Allocation for Cooperative ISAC Networks
in IEEE Internet of Things Journal
Liu M
(2024)
A Nonorthogonal Uplink/Downlink IoT Solution for Next-Generation ISAC Systems
in IEEE Internet of Things Journal
Liu M
(2023)
Sensing-Communication Coexistence vs. Integration
in IEEE Transactions on Vehicular Technology
Liu W
(2023)
Optimal Low-Complexity Orthogonal Block Based Detection of OTFS for Low-Dispersion Channels
in IEEE Transactions on Vehicular Technology
Liu X
(2024)
The Road to Near-Capacity CV-QKD Reconciliation: An FEC-Agnostic Design
in IEEE Open Journal of the Communications Society
Liu Y
(2021)
Space-Time Coded Generalized Spatial Modulation for Sparse Code Division Multiple Access
in IEEE Transactions on Wireless Communications
Liu Y
(2022)
Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design
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
Lu S
(2023)
The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction
in IEEE Transactions on Vehicular Technology
Ma K
(2023)
Deep Learning for mmWave Beam-Management: State-of-the-Art, Opportunities and Challenges
in IEEE Wireless Communications
Ma Y
(2022)
Generalized Approximate Message Passing Equalization for Multi-Carrier Faster-Than-Nyquist Signaling
in IEEE Transactions on Vehicular Technology
Ma Y
(2021)
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
in IEEE Transactions on Communications
Maity P
(2024)
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks
in IEEE Internet of Things Journal
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
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
(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
Mobini Z
(2024)
Cell-Free Massive MIMO Surveillance of Multiple Untrusted Communication Links
in IEEE Internet of Things Journal
| 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 |