Optimising Resource Efficiency in Future Mobile Communications
Lead Research Organisation:
University of Southampton
Department Name: Electronics and Computer Science
Abstract
Mobile communication systems are becoming more and more complex to design (by researchers), operate (by the operators) and used by the people in the street. Mobile users now wish to be always connected, irrespective of time and place, and have access to a range of new services to help him/her in everyday life, all at the lowest possible cost. Currently no one knows how to evaluate whether a system is efficient or not in such provision. The reason for this is the huge number of parameters involved which collectively influence system efficiency. So far the practice has been to use a subset of such parameters to define localised efficiency -- but this does not provide overall efficiency and it will not lead to low cost or optimum use of scare spectrum. There are three important criteria which need to be considered and designed together to achieve a highly efficient mobile system. These are: quality of offered service, capacity and the cost of the system. Each of these criteria are influenced by a large number of parameters individually, where each have different weightings. Optimum design needs to find a fine balance between the three different criteria and yet currently there is no technique available which enables them to be optimised together to provide the required low cost solution. What makes this difficult is that a mobile system is dynamic by nature in terms of: range of mobility of users, wide range of operational environments, wide range of services with different bit rates and expected qualities, etc. This all points to requirements for a system with a certain degree of adaptability so that the system can self-organise and adapt itself to changing conditions. Currently systems are designed and operated on more or less fixed technique and parameters. These include the design of air-interface, media access control, handover algorithms, cell sizes and fixed frequency band allocation which all lead to wastage of resources and expensive solutions. The mobile systems of the future, addressed herein, are continuously adaptable and reconfigurable and respond automatically to the conditions of environments and user demands. It is only by engaging with these factors that efficiency can be maximised and the required low cost new services can be delivered to users. The challenge of the research described herein is how to collectively design such very complex networks so that users, service providers and network operators will all consider it efficient and cost effective to participate in the mobile vision of the future.
People |
ORCID iD |
| Lajos Hanzo (Principal Investigator) |
Publications
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
Jafri M
(2024)
Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks
in IEEE Open Journal of Vehicular Technology
Guo B
(2024)
Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning
in IEEE Internet of Things Journal
Xiao Z
(2024)
Twin-Layer RIS-Aided Differential Index Modulation Dispensing With Channel Estimation
in IEEE Transactions on Vehicular Technology
Xu C
(2024)
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM
in IEEE Transactions on Communications
Pan D
(2024)
The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet
in IEEE Communications Surveys & Tutorials
Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
in IEEE Transactions on Communications
Zhao J
(2024)
Multiple-Antenna Aided Aeronautical Communications in Air-Ground Integrated Networks: Channel Estimation, Reliable Transmission, and Multiple Access
in IEEE Wireless Communications
Xiang L
(2024)
Multi-Domain Polarization for Enhancing the Physical Layer Security of MIMO Systems
in IEEE Transactions on Communications
Hoang T
(2024)
Physical Layer Authentication and Security Design in the Machine Learning Era
in IEEE Communications Surveys & Tutorials
Li Z
(2024)
Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer
in IEEE Transactions on Intelligent Transportation Systems
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
Zhu W
(2024)
Max-Min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
in IEEE Transactions on Wireless Communications
Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
in IEEE Wireless Communications Letters
Cheng Y
(2024)
Achievable Rate Optimization of the RIS-Aided Near-Field Wideband Uplink
in IEEE Transactions on Wireless Communications
Liu M
(2024)
A Nonorthogonal Uplink/Downlink IoT Solution for Next-Generation ISAC Systems
in IEEE Internet of Things Journal
Ragheb M
(2024)
RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments
in IEEE Transactions on Vehicular Technology
Zhu W
(2024)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
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
Kumar P
(2024)
Decision Fusion in Centralized and Distributed Multiuser Millimeter-Wave Massive MIMO-OFDM Sensor Networks
in IEEE Open Journal of the Communications Society
Sui Z
(2025)
Performance Analysis and Optimization of STAR-RIS-Aided Cell-Free Massive MIMO Systems Relying on Imperfect Hardware
in IEEE Transactions on Wireless Communications
Singh J
(2025)
Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles
in IEEE Transactions on Vehicular Technology
Liu X
(2025)
OTFS-Based CV-QKD Systems for Doubly Selective THz Channels
in IEEE Transactions on Communications
Li Q
(2025)
Stacked Intelligent Metasurface-Based Transceiver Design for Near-Field Wideband Systems
in IEEE Transactions on Communications
Chen J
(2025)
OTFS-MDMA: An Elastic Multi-Domain Resource Utilization Mechanism for High Mobility Scenarios
in IEEE Journal on Selected Areas in Communications
Hawkins H
(2025)
CDMA/OTFS Sensing Outperforms Pure OTFS at the Same Communication Throughput
in IEEE Open Journal of Vehicular Technology
Hanzo L
(2025)
Quantum Information Processing, Sensing, and Communications: Their Myths, Realities, and Futures
in Proceedings of the IEEE
Xu C
(2025)
Integrated Positioning and Communication Relying on Wireless Optical OFDM
in IEEE Journal on Selected Areas in Communications
Li Q
(2025)
Holographic Metasurface-Based Beamforming for Multi-Altitude LEO Satellite Networks
in IEEE Transactions on Wireless Communications
Trinh P
(2025)
Towards Quantum SAGINs Harnessing Optical RISs: Applications, Advances, and the Road Ahead
in IEEE Network
Singh J
(2025)
Pareto-Optimal Hybrid Beamforming for Finite-Blocklength Millimeter Wave Systems
in IEEE Transactions on Vehicular Technology
An J
(2025)
Flexible Intelligent Metasurfaces for Downlink Multiuser MISO Communications
in IEEE Transactions on Wireless Communications
Tong M
(2025)
Adaptive FTN Signaling Over Rapidly-Fading Channels
in IEEE Transactions on Communications
Meng K
(2025)
Integrated Sensing and Communication Meets Smart Propagation Engineering: Opportunities and Challenges
in IEEE Network
| Description | Numerous sophisticated transmission and reception schemes were conceived, including multi-user detectors, Interleave Division Multiple Access (IDMA) schemes, Multi-user transmitters, sphere-decoders, etc; |
| Exploitation Route | They have been exploited by the 20 or so companies of the Mobile Virtual Centre of Excellence (MVCE) and by the academic community through our publications and books; |
| Sectors | Aerospace Defence and Marine Creative Economy Education Electronics Healthcare Transport |
| URL | httP://www-mobile.ecs.soton.ac.uk |
| Description | The companies of the MVCE created mobile phone products; |
| First Year Of Impact | 2006 |
| Sector | Aerospace, Defence and Marine,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Transport |
| Impact Types | Cultural Societal Economic |
| Description | European Union Framework 7 |
| Amount | £240,000 (GBP) |
| Funding ID | Concerto propject |
| Organisation | European Commission |
| Department | Seventh Framework Programme (FP7) |
| Sector | Public |
| Country | European Union (EU) |
| Start | 02/2012 |
| End | 12/2014 |
| Description | VCE Mobile & Personal Comm Ltd |
| Organisation | VCE Mobile & Personal Comm Ltd |
| Country | United Kingdom |
| Sector | Private |
| Start Year | 2006 |