Abstract
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.
Keywords
Cite this article
@article{cai-1002,
author = {Lucas Benedičič and Mitja Stular and Peter Korošec},
title = {A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks},
journal = {Computing and Informatics},
volume = {33},
number = {5},
pages = {1025--1046},
year = {2014},
issn = {1335-9150},
url = {https://cai.type.sk/content/2014/5/a-gpu-based-parallel-agent-optimization-approach-for-the-service-coverage-problem-in-umts-networks/}
}
TY - JOUR AU - Lucas Benedičič AU - Mitja Stular AU - Peter Korošec TI - A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks JO - Computing and Informatics VL - 33 IS - 5 SP - 1025 EP - 1046 PY - 2014 SN - 1335-9150 UR - https://cai.type.sk/content/2014/5/a-gpu-based-parallel-agent-optimization-approach-for-the-service-coverage-problem-in-umts-networks/ KW - UMTS KW - mobile network KW - coverage KW - optimization KW - pilot power KW - parallel KW - agents KW - GPU ER -
Benedičič, L., Stular, M., & Korošec, P. (2014). A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. Computing and Informatics, 33(5), 1025–1046. https://cai.type.sk/content/2014/5/a-gpu-based-parallel-agent-optimization-approach-for-the-service-coverage-problem-in-umts-networks/