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
Riaz R
(2008)
Generic z-domain discrete-time transfer function estimation for ultra-wideband systems
in Electronics Letters
Bonello N
(2008)
Multilevel Structured Low-Density Parity-Check Codes
El-Hajjar M
(2008)
Turbo Detection of Precoded Sphere Packing Modulation Using Four Transmit Antennas for Differential Space-Time Spreading
in IEEE Transactions on Wireless Communications
Won S
(2008)
Iterative code acquisition for DS-UWB downlink using multiple-component decoders
in Electronics Letters
Won S
(2008)
Non-coherent and differentially coherent code acquisition in MIMO assisted DS-CDMA multi-path downlink scenarios
in IEEE Transactions on Wireless Communications
Ahmed S
(2008)
Iterative Detection of Three-Stage Concatenated FFH-MFSK
Ng S
(2008)
Near-capacity turbo trellis coded modulation design based on EXIT charts and union bounds - [transactions papers]
in IEEE Transactions on Communications
Akhtman J
(2009)
Constrained Capacity of Delay-Limited Wireless Transceivers
Bonello N
(2009)
Channel Code-Division Multiple Access and Its Multilevel-Structured LDPC-Based Instantiation
in IEEE Transactions on Vehicular Technology
El-Hajjar M
(2009)
Distributed Turbo Coding in the Presence of Inter-User Channel Impairment
R Zhang
(2009)
Decentralised High-Throughput Non-Orthogonal Interleaved Random Space-Time Coding for Multi-Source Cooperation
in IEEE Transactions on Vehicular Technology
Chen H
(2009)
Fountain-Code Aided File Transfer in 802.11 WLANs
Bonello N
(2009)
On the Design of Pilot Symbol Assisted Codes
Othman N
(2009)
Iterative AMR-WB Source and Channel Decoding Using Differential Space-Time Spreading-Assisted Sphere-Packing Modulation
in IEEE Transactions on Vehicular Technology
Nasruminallah N
(2009)
Iterative Detection Aided H.264 Wireless Video Telephony Using Irregular Convolutional Codes
Chen X
(2021)
Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs
in IEEE Transactions on Vehicular Technology
He D
(2021)
Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization
in IEEE Transactions on Communications
Liu Y
(2021)
Space-Time Coded Generalized Spatial Modulation for Sparse Code Division Multiple Access
in IEEE Transactions on Wireless Communications
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
Srinivasan M
(2021)
Airplane-Aided Integrated Next-Generation Networking
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
Xu K
(2021)
MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser Mmwave Systems Relying on Tomlinson-Harashima Precoding
in IEEE Transactions on Vehicular Technology
Zhao L
(2021)
Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges
in IEEE Access
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 |