A comparison of different optimisation search methodologies for self-optimisation in wireless cellular networks
A comparison of different optimisation search methodologies for self-optimisation in wireless cellular networks (1,643Mb) (Restricted access) Request copy
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Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
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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 considered. These methodologies have been implemented for the optimisation of the cell coverage and cell overlap using real measurements of a UMTS network deployed in a medium-size European city. These methodologies have been compared in terms of speed of convergence and performance of the solutions provided by the different proposed algorithms.
CitationSanchez, 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.
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