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
Zhang X
(2022)
Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection
in Journal of Lightwave Technology
An J
(2022)
Low-Complexity Improved-Rate Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
in IEEE Transactions on Vehicular Technology
Cao Y
(2022)
The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet
in IEEE Communications Surveys & Tutorials
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
Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications
Xu C
(2022)
Reconfigurable Intelligent Surface Assisted Multi-Carrier Wireless Systems for Doubly Selective High-Mobility Ricean Channels
in IEEE Transactions on Vehicular Technology
Mu X
(2022)
NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems
in IEEE Journal on Selected Areas in Communications
Lei L
(2022)
Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
in IEEE Transactions on Vehicular Technology
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
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
An J
(2022)
Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications
in IEEE Transactions on Green Communications and Networking
Van Luong T
(2022)
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink
in IEEE Transactions on Vehicular Technology
Zhao J
(2022)
Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) Assisted UAV Communications
in IEEE Journal on Selected Areas in Communications
Zhao L
(2022)
Optimization of the Power-to-Velocity Ratio in the Downlink of Vehicular Networks
in IEEE Transactions on Vehicular Technology
Ma Y
(2022)
Generalized Approximate Message Passing Equalization for Multi-Carrier Faster-Than-Nyquist Signaling
in IEEE Transactions on Vehicular Technology
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
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
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
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 J
(2022)
Unsourced Massive Random Access Scheme Exploiting Reed-Muller Sequences
in IEEE Transactions on Communications
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
Li S
(2022)
Faster-Than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA
in IEEE Journal on Selected Areas in Communications
Wang Q
(2022)
Hybrid Nonlinear Transceiver Optimization for the RIS-Aided MIMO Downlink
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
Srivastava S
(2022)
Bayesian Learning Aided Simultaneous Row and Group Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated MIMO Systems
in IEEE Transactions on Communications
Hoang T
(2022)
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off
in IEEE Transactions on Cognitive Communications and Networking
Feng C
(2022)
Joint Hybrid and Passive RIS-Assisted Beamforming for mmWave MIMO Systems Relying on Dynamically Configured Subarrays
in IEEE Internet of Things Journal
Egilmez Z
(2022)
A Soft-Input Soft-Output Polar Decoding Algorithm for Turbo-Detection in MIMO-Aided 5G New Radio
in IEEE Transactions on Vehicular Technology
Zheng Z
(2022)
Secure UAV-to-Ground MIMO Communications: Joint Transceiver and Location Optimization
in IEEE Transactions on Vehicular Technology
Jafri M
(2022)
Robust Distributed Hybrid Beamforming in Coordinated Multi-User Multi-Cell mmWave MIMO Systems Relying on Imperfect CSI
in IEEE Transactions on Communications
Srivastava S
(2022)
OTFS Transceiver Design and Sparse Doubly-Selective CSI Estimation in Analog and Hybrid Beamforming Aided mmWave MIMO Systems
in IEEE Transactions on Wireless Communications
Hou T
(2022)
MIMO Assisted Networks Relying on Intelligent Reflective Surfaces: A Stochastic Geometry Based Analysis
in IEEE Transactions on Vehicular Technology
Zhong R
(2022)
Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer
in IEEE Journal on Selected Areas in Communications
Chandra D
(2022)
Direct Quantum Communications in the Presence of Realistic Noisy Entanglement
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
Xiong Y
(2022)
Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms
in IEEE Signal Processing Letters
Xu J
(2022)
Simultaneously Transmitting and Reflecting Intelligent Omni-Surfaces: Modeling and Implementation
in IEEE Vehicular Technology Magazine
Bastami H
(2022)
Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks
in IEEE Transactions on Vehicular Technology
Srivastava S
(2022)
Delay-Doppler and Angular Domain 4D-Sparse CSI Estimation in OTFS Aided MIMO Systems
in IEEE Transactions on Vehicular Technology
Peng Z
(2022)
Multi-Pair Two-Way Massive MIMO DF Relaying Over Rician Fading Channels Under Imperfect CSI
in IEEE Wireless Communications Letters
Liu K
(2022)
Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission
in IEEE Transactions on Communications
An J
(2022)
Low-Complexity Channel Estimation and Passive Beamforming for RIS-Assisted MIMO Systems Relying on Discrete Phase Shifts
in IEEE Transactions on Communications
Xiong Y
(2022)
Quantum Error Mitigation Relying on Permutation Filtering
in IEEE Transactions on Communications
Abughalwa M
(2022)
Finite-Blocklength RIS-Aided Transmit Beamforming
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 |