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A comparison of different optimisation search methodologies for self-optimisation in wireless cellular networks

Author
Sanchez, J.; Sallent, J.; Perez-Romero, J.; Agusti, R.
Type of activity
Presentation of work at congresses
Name of edition
6th Joint IFIP Wireless and Mobile Networking Conference
Date of publication
2013
Presentation's date
2013-04
Book of congress proceedings
6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), 2013: 23-25 April 2013, Dubai, United Arab Emirates
First page
1
Last page
8
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/WMNC.2013.6549012 Open in new window
Repository
http://hdl.handle.net/2117/20293 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6549012 Open in new window
Abstract
Self-Organising Networks (SON) concept is seen as a way to reduce costs by automating functionalities such as network optimisation usually performed manually with extensive human work time. This paper provides a general formulation of the self-optimisation problem in a cellular wireless network and a description of the optimisation search process by means of iterative algorithms. Different optimisation methodologies, namely simulated annealing, genetic and particle swarm algorithms have been con...
Citation
Sanchez, J. [et al.]. A comparison of different optimisation search methodologies for self-optimisation in wireless cellular networks. A: Wireless and Mobile Networking Conference. "6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), 2013: 23-25 April 2013, Dubai, United Arab Emirates". Dubai: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 1-8.
Keywords
Algorithms, Simulated annealing, Wireless networks
Group of research
CCABA - Advanced Broadband Communications Center
GRCM - Mobile Communication Reserach Group

Participants