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
Nguyen K
(2022)
3D UAV Trajectory and Data Collection Optimisation Via Deep Reinforcement Learning
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 KKT Conditions Based Transceiver Optimization Framework for RIS-Aided Multiuser MIMO Networks
in IEEE Transactions on Communications
Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
in IEEE Wireless Communications Letters
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
(2021)
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
in IEEE Transactions on Communications
Liu M
(2024)
A Nonorthogonal Uplink/Downlink IoT Solution for Next-Generation ISAC Systems
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
Chen J
(2024)
A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis
in IEEE Open Journal of Vehicular Technology
An J
(2023)
A Tutorial on Holographic MIMO Communications-Part I: Channel Modeling and Channel Estimation
in IEEE Communications Letters
An J
(2023)
A Tutorial on Holographic MIMO Communications-Part II: Performance Analysis and Holographic Beamforming
in IEEE Communications Letters
An J
(2023)
A Tutorial on Holographic MIMO Communications-Part III: Open Opportunities and Challenges
in IEEE Communications Letters
Xing C
(2023)
A Unified Joint Optimization of Training Sequences and Transceivers Based on Matrix-Monotonic Optimization
in IEEE Transactions on Vehicular Technology
Gong S
(2021)
A Unified MIMO Optimization Framework Relying on the KKT Conditions
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
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
Cheng Y
(2024)
Achievable Rate Optimization of the RIS-Aided Near-Field Wideband Uplink
in IEEE Transactions on Wireless Communications
Zhang J
(2024)
Adaptive Coding and Modulation-Aided Mobile Relaying for Millimeter-Wave Flying Ad Hoc Networks
in IEEE Internet of Things Journal
An J
(2024)
Adjustable-Delay RIS Is Capable of Improving OFDM Systems
in IEEE Transactions on Vehicular Technology
Fang Z
(2022)
Age of Information in Energy Harvesting Aided Massive Multiple Access Networks
in IEEE Journal on Selected Areas in Communications
Srinivasan M
(2021)
Airplane-Aided Integrated Next-Generation Networking
in IEEE Transactions on Vehicular Technology
Gupta A
(2024)
An Affine Precoded Superimposed Pilot-Based mmWave MIMO-OFDM ISAC System
in IEEE Open Journal of the Communications Society
Chauhan P
(2023)
An Asymptotic Framework for Fox's H-Fading Channel With Application to Diversity-Combining Receivers
in IEEE Open Journal of Vehicular Technology
Garg A
(2024)
Angularly Sparse Channel Estimation in Dual- Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning
in IEEE Transactions on Communications
Xu C
(2023)
Antenna Selection for Reconfigurable Intelligent Surfaces: A Transceiver-Agnostic Passive Beamforming Configuration
in IEEE Transactions on Wireless Communications
Sui Z
(2021)
Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detection
in IEEE Transactions on Vehicular Technology
Yin W
(2023)
Artificial-Noise-Aided CQI-Mapped Generalized Spatial Modulation
in IEEE Transactions on Vehicular Technology
Jafri M
(2024)
Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks
in IEEE Open Journal of Vehicular Technology
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
Srivastava S
(2021)
Bayesian Learning Aided Sparse Channel Estimation for Orthogonal Time Frequency Space Modulated Systems
in IEEE Transactions on Vehicular Technology
Rajput K
(2021)
Bayesian Learning-Based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI
in IEEE Transactions on Communications
Xu S
(2024)
Blockage-Resilient Hybrid Transceiver Optimization for mmWave Communications
in IEEE Transactions on Wireless Communications
Ye M
(2023)
Ca-STANet: Spatiotemporal Attention Network for Chlorophyll-a Prediction With Gap-Filled Remote Sensing Data
in IEEE Transactions on Geoscience and Remote Sensing
Zhang X
(2023)
Caching Scalable Videos in the Edge of Wireless Cellular Networks
in IEEE Network
Mobini Z
(2024)
Cell-Free Massive MIMO Surveillance of Multiple Untrusted Communication Links
in IEEE Internet of Things Journal
Rajoriya A
(2022)
Centralized and Decentralized Channel Estimation in FDD Multi-User Massive MIMO Systems
in IEEE Transactions on Vehicular Technology
Xu C
(2023)
Channel Estimation for Reconfigurable Intelligent Surface Assisted High-Mobility Wireless Systems
in IEEE Transactions on Vehicular Technology
Zhu L
(2022)
Channel Modeling for Orbital Angular Momentum Based Underwater Wireless Optical Systems
in IEEE Transactions on Vehicular Technology
Xiong Y
(2023)
Circuit Symmetry Verification Mitigates Quantum-Domain Impairments
in IEEE Transactions on Signal Processing
| 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 |