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Distributed acceleration of mobile radio network optimisation algorithms

Ye, Y. and Megson, G. (2010) Distributed acceleration of mobile radio network optimisation algorithms. In: Proceedings of WTS'10, the 9th IEEE Conference on Wireless Telecommunications. IEEE Press, Piscataway, NJ, USA. ISBN 9781424465583

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To link to this item DOI: 10.1109/WTS.2010.5479627

Abstract/Summary

The past decade has witnessed explosive growth of mobile subscribers and services. With the purpose of providing better-swifter-cheaper services, radio network optimisation plays a crucial role but faces enormous challenges. The concept of Dynamic Network Optimisation (DNO), therefore, has been introduced to optimally and continuously adjust network configurations, in response to changes in network conditions and traffic. However, the realization of DNO has been seriously hindered by the bottleneck of optimisation speed performance. An advanced distributed parallel solution is presented in this paper, as to bridge the gap by accelerating the sophisticated proprietary network optimisation algorithm, while maintaining the optimisation quality and numerical consistency. The ariesoACP product from Arieso Ltd serves as the main platform for acceleration. This solution has been prototyped, implemented and tested. Real-project based results exhibit a high scalability and substantial acceleration at an average speed-up of 2.5, 4.9 and 6.1 on a distributed 5-core, 9-core and 16-core system, respectively. This significantly outperforms other parallel solutions such as multi-threading. Furthermore, augmented optimisation outcome, alongside high correctness and self-consistency, have also been fulfilled. Overall, this is a breakthrough towards the realization of DNO.

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science
ID Code:18473
Uncontrolled Keywords:dynamic network optimisation, Mobile Radio network optimisation algorithms, distributed computing, parallel computing, multicore architecture, remote process control
Publisher:IEEE Press

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