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.

Publications

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

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

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

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

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

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

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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

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

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

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Sui Z (2023) Space-Time Shift Keying Aided OTFS Modulation for Orthogonal Multiple Access in IEEE Transactions on Communications

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Sui Z (2021) Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detection in IEEE Transactions on Vehicular Technology

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Tang Y (2023) Probabilistic Constellation Shaping for Molecular Communications 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