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
Won S
(2008)
Iterative code acquisition for DS-UWB downlink using multiple-component decoders
in Electronics Letters
Wu N
(2008)
Precoded Sphere-Packing-Aided Bit-Interleaved Differential Space-Time Coded Modulation Using Iterative Decoding
in IEEE Transactions on Vehicular Technology
Xiang L
(2021)
Soft-Output Successive Cancellation Stack Polar Decoder
in IEEE Transactions on Vehicular Technology
Xiang L
(2024)
Multi-Domain Polarization for Enhancing the Physical Layer Security of MIMO Systems
in IEEE Transactions on Communications
Xiang L
(2021)
Low Complexity Detection for Spatial Modulation Aided Sparse Code Division Multiple Access
in IEEE Transactions on Vehicular Technology
Xiang Liu
(2008)
Precise BER Formulas for Asynchronous QPSK-Modulated DS-CDMA Systems Using Random Quaternary Spreading Over Rayleigh Channels
in IEEE Transactions on Vehicular Technology
Xiao Z
(2024)
Twin-Layer RIS-Aided Differential Index Modulation Dispensing With Channel Estimation
in IEEE Transactions on Vehicular Technology
Xing C
(2024)
A General Matrix Variable Optimization Framework for MIMO Assisted Wireless Communications
in IEEE Transactions on Vehicular Technology
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
Xiong Y
(2022)
Quantum Error Mitigation Relying on Permutation Filtering
in IEEE Transactions on Communications
Xu C
(2024)
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM
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
Xu K
(2021)
MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser Mmwave Systems Relying on Tomlinson-Harashima Precoding
in IEEE Transactions on Vehicular Technology
Xu L
(2008)
EXIT Chart Analysis Aided Turbo MUD Designs for the Rank-Deficient Multiple Antenna Assisted OFDM Uplink
in IEEE Transactions on Wireless Communications
Xu S
(2023)
Blockage-Resilient Hybrid Transceiver Optimization for mmWave Communications
in IEEE Transactions on Wireless Communications
Y Akhtman
(2007)
Projection Approximation Subspace Tracking-Aided Channel Estimation for MIMO-OFDM
in IEEE Transactions on Wireless Communications
Yang D
(2008)
Closed-loop linear dispersion coded eigen-beam transmission and its capacity
in Electronics Letters
Yang L
(2006)
Multiuser Detection Assisted Time- and Frequency-Domain Spread Multicarrier Code-Division Multiple-Access
in IEEE Transactions on Vehicular Technology
Yu H
(2024)
Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming
in IEEE Transactions on Vehicular Technology
Yu H
(2022)
Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling
in IEEE Transactions on Wireless Communications
Yue Q
(2024)
Hybrid Terahertz Beamforming Relying on Channel Sparsity and Angular Orthogonality
in IEEE Transactions on Vehicular Technology
Zhang R
(2008)
Space-time coding for high-throughput interleave division multiplexing aided multi-source co-operation
in Electronics Letters
Zhang X
(2022)
Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection
in Journal of Lightwave Technology
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
Zhao L
(2022)
Optimization of the Power-to-Velocity Ratio in the Downlink of Vehicular Networks
in IEEE Transactions on Vehicular Technology
Zhao L
(2021)
Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges
in IEEE Access
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
Zhu W
(2023)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
in IEEE Transactions on Communications
Zhu W
(2021)
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
in IEEE Transactions on Communications
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 |