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A multi-cell multi-objective self-optimisation methodology based on genetic algorithms for wireless cellular networks

Author
Sanchez, J.; Sallent, J.; Perez-Romero, J.; Agusti, R.
Type of activity
Journal article
Journal
International journal of network management
Date of publication
2013-07
Volume
23
Number
4
First page
287
Last page
307
DOI
https://doi.org/10.1002/nem.1831 Open in new window
Project funding
Acceso radio cognitivo y oportunista
Repository
http://hdl.handle.net/2117/86696 Open in new window
URL
http://onlinelibrary.wiley.com/doi/10.1002/nem.1831/pdf Open in new window
Abstract
Self-organising networks (SON) are seen as one of the hottest topics in telecommunication network research and development, eagerly awaited by network operators to achieve a reduction in operational expenditures. However, there are still many challenges and dif¿culties when moving from the SON concept to practical implementation. In this context, this paper ¿rst provides a general formulation of the automated optimisation problem and a detailed description of the main challenges and dif¿culti...
Citation
Sanchez, J., Sallent, J., Perez, J., Agusti, R. A multi-cell multi-objective self-optimisation methodology based on genetic algorithms for wireless cellular networks. "International journal of network management", Juliol 2013, vol. 23, núm. 4, p. 287-307.
Group of research
CCABA - Advanced Broadband Communications Center
GRCM - Mobile Communication Reserach Group

Participants