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

Ng S
(2007)
Iteratively Decoded Variable Length Space-Time Coded Modulation: Code Construction and Convergence Analysis
in IEEE Transactions on Wireless Communications

Akhtman J
(2007)
Decision Directed Channel Estimation Aided OFDM Employing Sample-Spaced and Fractionally-Spaced CIR Estimators
in IEEE Transactions on Wireless Communications

Chen S
(2008)
Adaptive Minimum Symbol Error Rate Beamforming Assisted Detection for Quadrature Amplitude Modulation
in IEEE Transactions on Wireless Communications

An J
(2025)
Flexible Intelligent Metasurfaces for Downlink Multiuser MISO Communications
in IEEE Transactions on Wireless Communications

Hua Wei
(2006)
On the uplink performance of LAS-CDMA
in IEEE Transactions on Wireless Communications

Hua Wei
(2006)
On the performance of band-limited asynchronous DS-CDMA over nakagami-m channels
in IEEE Transactions on Wireless Communications

Maunder R
(2008)
On the Performance and Complexity of Irregular Variable Length Codes for Near-Capacity Joint Source and Channel Coding
in IEEE Transactions on Wireless Communications

Zhu W
(2024)
Max-Min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
in IEEE Transactions on Wireless Communications

Akhtman J
(2007)
An Optimized-Hierarchy-Aided Approximate Log-MAP Detector for MIMO Systems
in IEEE Transactions on Wireless Communications

Cheng Y
(2024)
Achievable Rate Optimization of the RIS-Aided Near-Field Wideband Uplink
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

Wolfgang A
(2007)
Parallel interference cancellation based turbo space-time equalization in the SDMA uplink
in IEEE Transactions on Wireless Communications

Mu X
(2024)
Reconfigurable Intelligent Surface-Aided Near-Field Communications for 6G: Opportunities and Challenges
in IEEE Vehicular Technology Magazine

Wang C
(2024)
Electromagnetic Information Theory: Fundamentals and Applications for 6G Wireless Communication Systems
in IEEE Wireless 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

Tan S
(2023)
Communication-Assisted Multi-Agent Reinforcement Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks
in IEEE Wireless Communications Letters

Peng Z
(2022)
Multi-Pair Two-Way Massive MIMO DF Relaying Over Rician Fading Channels Under Imperfect CSI
in IEEE Wireless Communications Letters

Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
in IEEE Wireless Communications Letters

Liu X
(2007)
Analytical bit error rate performance of DS-CDMA ad hoc networks using large area synchronous spreading sequences
in IET Communications

Chen S
(2007)
Space-time decision feedback equalisation using a minimum bit error rate design for single-input multiple-output channels
in IET Communications

Fang W
(2008)
Single-user performance of direct-sequence code-division multiple-access using relay diversity and power allocation
in IET Communications

Won S
(2007)
Differentially coherent code acquisition in the MIMO-aided multi-carrier DS-CDMA downlink
in IET Communications

Zhang X
(2022)
Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection
in Journal of Lightwave Technology

Hanzo L
(2007)
Near-Instantaneously Adaptive HSDPA-Style OFDM Versus MC-CDMA Transceivers for WIFI, WIMAX, and Next-Generation Cellular Systems
in Proceedings of the IEEE

Hanzo L
(2007)
Turbo Decoding and Detection for Wireless Applications
in Proceedings of the IEEE
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 |