Adaptive Learning For Mobile Network Management

B Pandey - 2016 - aaltodoc.aalto.fi
There is an increasing demand for better mobile and network services in current 4G and
upcoming 5G networks. As a result, mobile network operators are finding difficulties to meet …

[PDF][PDF] A novel stochastic learning automata based son interference mitigation framework for 5G hetnets

MN Qureshi, MI Tiwana - Radioengineering, 2016 - pdfs.semanticscholar.org
Long Term Evolution Advanced (LTE-A) Heterogeneous Networks (HetNet) are an important
aspect of 5th generation mobile communication systems. They consists of high power …

An overview of self-organization aspects in femtocell deployments

GT Karetsos, M Louta - 2016 7th International Conference on …, 2016 - ieeexplore.ieee.org
Femtocells are considered as a basic part in LTE and LTE Advanced systems and their
importance will be leveraged in future 5G systems. Their specific characteristics allow for …

[PDF][PDF] Statistical learning, anomaly detection, and optimization in self-organizing networks

Q Liao - 2016 - depositonce.tu-berlin.de
Self-organizing network, considered as a starting point toward self-aware cognitive network,
is an automation technology designed for automated configuring, monitoring …

Self-optimizing energy management in heterogeneous cellular networks

M Ghaderi, M Naghibi - 2016 12th International Conference on …, 2016 - ieeexplore.ieee.org
In this paper, we develop and evaluate a distributed algorithm to efficiently balance the trade-
off between network throughput and energy consumption in a heterogeneous cellular …

Impact of Network Dynamics on the Performance of Distributed Physical Cell Identities Assignment Schemes

A Diab, A Mitschele-Thiel - Self-Organized Mobile Communication …, 2016 - igi-global.com
Conflicts-free auto-configuration of Physical Cell Identities (PCIs) is a main challenge in LTE
systems. This challenge is the focus of this chapter, which provides a survey of present PCI …