In the context of coverage planning and control, the power of the common pilot channel signal determines the coverage area of a network cell. It also impacts the network capacity and thus the quality of service. We consider the problem of minimizing the total amount of pilot power subject to a full coverage constraint. Our optimization approach, based on parallel autonomous agents, gives very good solutions within an acceptable amount of time. The parallel implementation takes full advantage of GPU hardware in order to achieve impressive speed-up. We report the results of our experiments for three UMTS networks of different sizes based on a real network currently deployed in Slovenia.
Publié le : 2015-02-10
Classification:
Parallel and Distributed Computing,
UMTS, mobile network, coverage, optimization, pilot power, parallel, agents, GPU
@article{cai1002,
author = {Lucas Benedi\v ci\v c; Telekom Slovenije, d.d., Cigaletova 15, SI-1000 Ljubljana and Mitja \v Stular; Telekom Slovenije, d.d., Cigaletova 15, SI-1000 Ljubljana and Peter Koro\v sec; Computer Systems Department, Jo\v zef Stefan Institute, Jamova cesta 39, SI-1000 Ljubljana},
title = {A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks},
journal = {Computing and Informatics},
volume = {33},
number = {3},
year = {2015},
language = {en},
url = {http://dml.mathdoc.fr/item/cai1002}
}
Lucas Benedičič; Telekom Slovenije, d.d., Cigaletova 15, SI-1000 Ljubljana; Mitja Štular; Telekom Slovenije, d.d., Cigaletova 15, SI-1000 Ljubljana; Peter Korošec; Computer Systems Department, Jožef Stefan Institute, Jamova cesta 39, SI-1000 Ljubljana. A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. Computing and Informatics, Tome 33 (2015) no. 3, . http://gdmltest.u-ga.fr/item/cai1002/