… Since we consider cells that are permanently switched off for CCO … of self-healing. Particularly,
by tuning transmission power and antenna downtilt, we consider a subset of optimization …

… Deploying and operating a cellular network is an extremely complicated task and needs to
consider many factors, such as planning, dimensioning, installation, testing, pre-launch opti…

… Along with a fully autonomous self-optimizing framework, one of … -off between peak and cell
edge rates by simply adjusting γ. … , “A survey of self organisation in future cellular networks,” …

… selfconfiguration and self-optimization of mobile networks. Specifically, we first illustrate a
self… In cellular networks the arrivals of mobile users and the resulting traffic load are random, …

… cell list (NCL) in cellular networks has an important impact on the number of dropped calls
and is traditionally optimized … In this paper, a method for automatically optimizing a NCL is …

… networks, existing deployment and practice becomes economically unsustainable… Network
self-organization and self-optimization are among the key targets of future mobile networks …

… optimize cellular network performance and maximize efficiency. The layout of the book is
structured as follows. Chapter 1 discusses the challenges associated with the explosive growth …

… network can be enabled. This paper focuses on the learning perspective of self-organizing
networks (… ML techniques encountered in cellular networks but also manages to classify each …

… self-optimization tools for cellular networks based on Gibbs’ sampler (see, eg, [13, pp. 285–290])
and the methodology developed in [10] for IEEE 802.11 networks. … 1 cellular networks. …

… concept to self-optimizing small-cell networks. Context … for CA self-optimization in small-cell
networks has been … A self-optimization mechanism has been taken as a baseline to be …