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
Chandra D
(2023)
EXIT-Chart Aided Design of Irregular Multiple-Rate Quantum Turbo Block Codes
in IEEE Access
Chandra D
(2022)
Direct Quantum Communications in the Presence of Realistic Noisy Entanglement
in IEEE Transactions on Communications
Chang H
(2021)
Low-Complexity Adaptive Optics Aided Orbital Angular Momentum Based Wireless Communications
in IEEE Transactions on Vehicular Technology
Chawla A
(2021)
Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks
in IEEE Transactions on Vehicular Technology
Chen B
(2024)
Learning-Aided UAV-Cooperation Reduces the Age-of-Information in Wireless Networks
in IEEE Communications Letters
Chen H
(2009)
Fountain-Code Aided File Transfer in 802.11 WLANs
Chen J
(2021)
Factor Graphs for Support Identification in Compressive Sensing Aided Wireless Sensor Networks
in IEEE Sensors Journal
Chen J
(2023)
Deep Learning Aided LLR Correction Improves the Performance of Iterative MIMO Receivers
in IEEE Transactions on Vehicular Technology
Chen S
(2008)
Adaptive Minimum Symbol Error Rate Beamforming Assisted Detection for Quadrature Amplitude Modulation
in IEEE Transactions on Wireless Communications
Chen S
(2008)
Semi-Blind Adaptive Spatial Equalization for MIMO Systems with High-Order QAM Signalling
in IEEE Transactions on Wireless Communications
Chen S
(2008)
Symmetric complex-valued RBF receiver for multiple-antenna-aided wireless systems.
in IEEE transactions on neural networks
Chen S
(2008)
Symmetric RBF classifier for nonlinear detection in multiple-antenna-aided systems.
in IEEE transactions on neural networks
Chen S
(2007)
Clustering-Based Symmetric Radial Basis Function Beamforming
in IEEE Signal Processing Letters
Chen S
(2007)
Space-time decision feedback equalisation using a minimum bit error rate design for single-input multiple-output channels
in IET Communications
Chen S
(2006)
MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems
in IEEE Transactions on Signal Processing
Chen X
(2021)
Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs
in IEEE Transactions on Vehicular Technology
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
Cheng Y
(2023)
Achievable Rate Optimization of the RIS-Aided Near-Field Wideband Uplink
in IEEE Transactions on Wireless Communications
Chong Xu
(2008)
Ant-Colony-Based Multiuser Detection for Multifunctional-Antenna-Array-Assisted MC DS-CDMA Systems
in IEEE Transactions on Vehicular Technology
Chun-Yi Wei
(2008)
Iterative Near-Maximum-Likelihood Detection in Rank-Deficient Downlink SDMA Systems
in IEEE Transactions on Vehicular Technology
Cui J
(2021)
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Real Flight Data in the North-Atlantic Region
in IEEE Open Journal of Vehicular Technology
Cui J
(2021)
Twin-Component Near-Pareto Routing Optimization for AANETs in the North-Atlantic Region Relying on Real Flight Statistics
in IEEE Open Journal of 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 |