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
Hoang T
(2024)
Physical Layer Authentication and Security Design in the Machine Learning Era
in IEEE Communications Surveys & Tutorials
Hoang T
(2022)
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off
in IEEE Transactions on Cognitive Communications and Networking
Hoang T
(2022)
RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks
in IEEE Transactions on Vehicular Technology
Hou T
(2022)
MIMO Assisted Networks Relying on Intelligent Reflective Surfaces: A Stochastic Geometry Based Analysis
in IEEE Transactions on Vehicular Technology
How H
(2006)
A Redundant Residue Number System Coded Burst-by-Burst Adaptive Joint-Detection Based CDMA Speech Transceiver
in IEEE Transactions on Vehicular Technology
Hua Wei
(2006)
On the performance of band-limited asynchronous DS-CDMA over nakagami-m channels
in IEEE Transactions on Wireless Communications
Hua Wei
(2006)
On the uplink performance of LAS-CDMA
in IEEE Transactions on Wireless Communications
Jafri M
(2024)
Asynchronous Distributed Coordinated Hybrid Precoding in Multi-cell mmWave Wireless Networks
in IEEE Open Journal of Vehicular Technology
Jiang M
(2006)
Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems
in IEEE Transactions on Vehicular Technology
Jiang M
(2007)
Soft-Information Assisted Near-Optimum Nonlinear Detection for BLAST-type Space Division Multiplexing OFDM Systems
in IEEE Transactions on Wireless Communications
Jiang M
(2007)
Iterative Joint Channel Estimation and Multi-User Detection for Multiple-Antenna Aided OFDM Systems
in IEEE Transactions on Wireless Communications
Jiang M
(2007)
Multiuser MIMO-OFDM for Next-Generation Wireless Systems
in Proceedings of the IEEE
Jiang M
(2006)
Multiuser MIMO-OFDM systems using subcarrier hopping
in IEE Proceedings - Communications
Kliewer J
(2006)
Efficient Computation of EXIT Functions for Nonbinary Iterative Decoding
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
Lee K
(2007)
Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
in IEEE Transactions on Wireless Communications
Li K
(2023)
Reconfigurable Intelligent Surface Aided Position and Orientation Estimation Based on Joint Beamforming With Limited Feedback
in IEEE Open Journal of the Communications Society
Li Q
(2023)
Low-Overhead Channel Estimation for RIS-Aided Multi-Cell Networks in the Presence of Phase Quantization Errors
in IEEE Transactions on Vehicular Technology
Li S
(2022)
Faster-Than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA
in IEEE Journal on Selected Areas in Communications
Liew T
(2006)
Systematic Redundant Residue Number System Codes: Analytical Upper Bound and Iterative Decoding Performance Over AWGN and Rayleigh Channels
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 |