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
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
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
El-Hajjar M
(2009)
Distributed Turbo Coding in the Presence of Inter-User Channel Impairment
Bonello N
(2009)
Channel Code-Division Multiple Access and Its Multilevel-Structured LDPC-Based Instantiation
in IEEE Transactions on Vehicular Technology
Feng F.
(2019)
Optical Broadcasting for Wide Field-of-View Bidirectional Indoor Optical Wireless Communications
in 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
Feng C
(2019)
Beam Selection for Wideband Millimeter Wave MIMO Relying on Lens Antenna Arrays
in IEEE Communications Letters
Srivastava S
(2021)
Bayesian Learning Aided Sparse Channel Estimation for Orthogonal Time Frequency Space Modulated Systems
in IEEE Transactions on Vehicular Technology
Ma Y
(2021)
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
in IEEE Transactions on Communications
Chen J
(2021)
Factor Graphs for Support Identification in Compressive Sensing Aided Wireless Sensor Networks
in IEEE Sensors Journal
Chawla A
(2021)
Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks
in IEEE Transactions on Vehicular Technology
Zhu W
(2021)
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
in IEEE Transactions on Communications
Xiang L
(2021)
Low Complexity Detection for Spatial Modulation Aided Sparse Code Division Multiple Access
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 |