… for autonomous self-optimization of trade-off performance indicators in LTE multi-tier networks.
Introducing a low complexity interference approximation model, the related optimization …

… applications and services develop rapidly, and the demand for resources increases very fast,
which make resource shortage in cellular networks very common. Second, the traffic is time-…

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

… 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. …

… 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 …

… 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…

… in mobile networks is presented, with special emphasis on techniques that are suitable for
self optimization feature in future cellular networks. Keywords: 4G, Self-Optimization, Load …

… the learning perspective of self-organizing networks (SON) … techniques encountered in cellular
networks but also manages … are: self-configuration, self-optimization and self-healing and …

… : cellular networks aim to self-optimize the network parameters to … To reach this goal, CCO
implements self-optimizing … A set of parameters can be optimized in cellular networks eg, …

… to introduce self-optimizing capabilities within the network, which … to self optimization of next
generation cellular networks. … to self optimization of next generation cellular networks namely …