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

Srinivasan M
(2021)
Airplane-Aided Integrated Next-Generation Networking
in IEEE Transactions on Vehicular Technology

Soon Xin Ng
(2006)
Burst-by-burst adaptive decision feedback equalized TCM, TTCM, and BICM for H.263-assisted wireless video telephony
in IEEE Transactions on Circuits and Systems for Video Technology

Soon Xin Ng
(2006)
On the MIMO Channel Capacity of Multidimensional Signal Sets
in IEEE Transactions on Vehicular Technology

Singh J
(2023)
Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems
in IEEE Open Journal of Vehicular Technology

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

Shuang Tan
(2008)
On Multi-User EXIT Chart Analysis Aided Turbo-Detected MBER Beamformer Designs
in IEEE Transactions on Wireless Communications

Shuang Tan
(2008)
Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver
in IEEE Signal Processing Letters

Shuang Tan
(2008)
Three-Stage Turbo MBER Multiuser Beamforming Receiver Using Irregular Convolutional Codes
in IEEE Transactions on Vehicular Technology

Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications

Sheng Chen
(2006)
Minimum bit-error rate design for space-time equalization-based multiuser detection
in IEEE Transactions on Communications

Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
in IEEE Transactions on Communications

Shan C
(2023)
Energy-Efficient Time-Modulated Beam-Forming for Joint Communication-Radar Systems
in IEEE Transactions on Green Communications and Networking

SeungHwan Won
(2008)
Analysis of Serial-Search-Based Code Acquisition in the Multiple-Transmit/Multiple-Receive-Antenna-Aided DS-CDMA Downlink
in IEEE Transactions on Vehicular Technology

Saxena S
(2023)
Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning
in IEEE Open Journal of the Communications Society

Rong Zhang
(2008)
Three Design Aspects of Multicarrier Interleave Division Multiple Access
in IEEE Transactions on Vehicular Technology

Riaz R
(2008)
Generic z-domain discrete-time transfer function estimation for ultra-wideband systems
in Electronics Letters


Rajput K
(2021)
Bayesian Learning-Based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI
in IEEE Transactions on Communications

Rajput K
(2023)
Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy-Harvesting-Aided IoT Networks
in IEEE Sensors Journal

Ragheb M
(2022)
On the Physical Layer Security of Untrusted Millimeter Wave Relaying Networks: A Stochastic Geometry Approach
in IEEE Transactions on Information Forensics and Security

Ragheb M
(2024)
RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments
in IEEE Transactions on Vehicular Technology

R Zhang
(2009)
Decentralised High-Throughput Non-Orthogonal Interleaved Random Space-Time Coding for Multi-Source Cooperation
in IEEE Transactions on Vehicular Technology

Piao J
(2021)
Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems
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 |