Optimising Resource Efficiency in Future Mobile Communications
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
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
Altmann Y
(2016)
Robust Bayesian target detection algorithm for depth imaging from sparse single-photon data
in IEEE Transactions on Computational Imaging
Chao Wang
(2009)
A comprehensive study of repetition-coded protocols in multi-user multi-relay networks
in IEEE Transactions on Wireless Communications
Fan Y
(2009)
High capacity relay protocols for wireless networks
in Journal of Communications and Networks
Krikidis I
(2008)
A Cross-Layer Approach for Cooperative Networks
in IEEE Transactions on Vehicular Technology
Krikidis I
(2010)
Stability analysis for cognitive radio with multi-access primary transmission
in IEEE Transactions on Wireless Communications
Krikidis I
(2009)
Cognitive legacy networks via cooperative diversity
in IEEE Communications Letters
Krikidis I
(2009)
Opportunistic Relay Selection in Cooperative Systems With Dirty-Paper Coding
in IEEE Transactions on Vehicular Technology
Krikidis I
(2010)
On the diversity order of non-orthogonal amplify-and-forward over block-fading channels
in IEEE Transactions on Wireless Communications
Krikidis I
(2009)
Protocol design and throughput analysis for multi-user cognitive cooperative systems
in IEEE Transactions on Wireless Communications
Krikidis I
(2009)
Max-min relay selection for legacy amplify-and-forward systems with interference
in IEEE Transactions on Wireless Communications
Krikidis I
(2009)
Relay selection for secure cooperative networks with jamming
in IEEE Transactions on Wireless Communications
Krikidis I
(2008)
Optimization Issues for Cooperative Amplify-and-Forward Systems Over Block-Fading Channels
in IEEE Transactions on Vehicular Technology
Krikidis I
(2008)
Amplify-and-forward with partial relay selection
in IEEE Communications Letters
Shaqfeh M
(2009)
Comments on the Boundary of the Capacity Region of Multiaccess Fading Channels
in IEEE Transactions on Information Theory
Stephen McLaughlin (Author)
(2008)
On the Diversity-Multiplexing Tradeoff of Concurrent Decode-and-Forward Relaying
Stephen McLaughlin (Author)
(2008)
Single-antenna selection for MISO cognitive cadio
Stephen McLaughlin (Author)
(2009)
Relay Selection Issues For Amplyfy-and-Forward Cooperative Systems with Interference
Stephen McLaughlin (Author)
(2008)
Performance analysis of scheduling policies for delay-tolerant applications in centralized wireless networks
Stephen McLaughlin (Author)
(2008)
Cross Layer Issues for Cooperative Networks
Stephen McLaughlin (Author)
(2009)
Multiple Antennas Selection for Linear Precoding MISO Cognitive Radio
Stephen McLaughlin (Author)
(2009)
Ergodic Capacity of Block-Fading Gaussian Broadcast amd Multi-Access Channels for Single User Selection and Constant Power
Stephen McLaughlin (Author)
(2009)
Stability Analysis for Cognitive Radio with Cooperative Enhancements
Wang C
(2007)
Recovering Multiplexing Loss through Concurrent Decode-and-Forward (DF) Relaying
in Wireless Personal Communications
Wang C
(2010)
Approaching the Optimal Diversity-Multiplexing Tradeoff in a Four-node Cooperative Network
in IEEE Transactions on Wireless Communications
Yijia Fan
(2009)
Cooperative Multiplexing: Toward Higher Spectral Efficiency in Multiple-Antenna Relay Networks
in IEEE Transactions on Information Theory
Zhou J
(2008)
Linear precoding for the downlink of multiple input single output coexisting wireless systems
in IET Communications
| Description | VCE Mobile & Personal Comm Ltd |
| Organisation | VCE Mobile & Personal Comm Ltd |
| Country | United Kingdom |
| Sector | Private |
| Start Year | 2006 |