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
Singh J
(2023)
Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems
in IEEE Open Journal of Vehicular Technology
Wang Z
(2023)
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink
in IEEE Transactions on Communications
Xu S
(2023)
Blockage-Resilient Hybrid Transceiver Optimization for mmWave Communications
in IEEE Transactions on Wireless Communications
Rajput K
(2023)
Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy-Harvesting-Aided IoT Networks
in IEEE Sensors Journal
Mehrotra A
(2023)
Online Bayesian Learning Aided Sparse CSI Estimation in OTFS Modulated MIMO Systems for Ultra-High-Doppler Scenarios
in IEEE Transactions on Communications
Kumar P
(2023)
Decision Fusion in Centralized and Distributed Multiuser Millimeter Wave Massive MIMO-OFDM Sensor Networks
in IEEE Open Journal of the Communications Society
Feng X
(2023)
Reduced Complexity Learning-Assisted Joint Channel Estimation and Detection of Compressed Sensing-Aided Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology
Zhu W
(2023)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
in IEEE Transactions on Communications
Gao W
(2023)
Interference Mitigation-Enabled Signal Detection in Diffusive Molecular Communications Systems With Molecular-Type Spreading
in IEEE Internet of Things Journal
Tang Y
(2023)
Probabilistic Constellation Shaping for Molecular Communications
in IEEE Transactions on Communications
Tan S
(2023)
Communication-Assisted Multi-Agent Reinforcement Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks
in IEEE Wireless Communications Letters
Feng X
(2023)
Near-Instantaneously Adaptive Learning-Assisted and Compressed Sensing-Aided Joint Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology
Shan C
(2023)
Energy-Efficient Time-Modulated Beam-Forming for Joint Communication-Radar Systems
in IEEE Transactions on Green Communications and Networking
Singh J
(2023)
Joint Transceiver and Reconfigurable Intelligent Surface Design for Multiuser mmWave MIMO Systems Relying on Non-Diagonal Phase Shift Matrices
in IEEE Open Journal of the Communications Society
Chen Y
(2024)
Enhancing the Downlink Rate Fairness of Low-Resolution Active RIS-Aided Signaling by Closed-Form Expression-Based Iterative Optimization
in IEEE Transactions on Vehicular Technology
Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
in IEEE Transactions on Communications
Chen B
(2024)
Learning-Aided UAV-Cooperation Reduces the Age-of-Information in Wireless Networks
in IEEE Communications Letters
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
Guo B
(2024)
Pareto-Optimal Multi-Agent Cooperative Caching Relying on Multi-Policy Reinforcement Learning
in IEEE Internet of Things Journal
Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying On Quantum Annealing
in IEEE Wireless Communications Letters
Liu M
(2024)
A Nonorthogonal Uplink/Downlink IoT Solution for Next-Generation ISAC Systems
in IEEE Internet of Things Journal
Gupta A
(2024)
An Affine Precoded Superimposed Pilot Based mmWave MIMO-OFDM ISAC System
in IEEE Open Journal of the Communications Society
Xing C
(2024)
A General Matrix Variable Optimization Framework for MIMO Assisted Wireless Communications
in IEEE Transactions on Vehicular Technology
Mu X
(2024)
Reconfigurable Intelligent Surface-Aided Near-Field Communications for 6G: Opportunities and Challenges
in IEEE Vehicular Technology Magazine
Xu C
(2024)
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM
in IEEE Transactions on Communications
Xiao Z
(2024)
Twin-Layer RIS-Aided Differential Index Modulation Dispensing With Channel Estimation
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
Yu H
(2024)
Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming
in IEEE Transactions on Vehicular Technology
Tuan H
(2024)
RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
in IEEE Transactions on Communications
Hawkins H
(2024)
IM-OFDM ISAC Outperforms OFDM ISAC By Combining Multiple Sensing Observations
in IEEE Open Journal of Vehicular Technology
Pan D
(2024)
The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet
in IEEE Communications Surveys & Tutorials
Xiang L
(2024)
Multi-Domain Polarization for Enhancing the Physical Layer Security of MIMO Systems
in IEEE Transactions on Communications
Zhu W
(2024)
Max-min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
in IEEE Transactions on Wireless Communications
Ding X
(2024)
Interference Management by Harnessing Multi-Domain Resources in Spectrum-Sharing Aided Satellite-Ground Integrated Networks
in IEEE Transactions on Vehicular Technology
Yue Q
(2024)
Hybrid Terahertz Beamforming Relying on Channel Sparsity and Angular Orthogonality
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
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
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
Hoang T
(2024)
Physical Layer Authentication and Security Design in the Machine Learning Era
in IEEE Communications Surveys & Tutorials
Ragheb M
(2024)
RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments
in IEEE Transactions on Vehicular Technology
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 |