In this work, we develop mathematical and algorithmic tools for the self-optimization of mobile cellular networks.
This paper introduces a solution to enable self- optimization of coverage and capacity in LTE networks through base stations' downtilt angle adjustment.
This paper introduces a solution to enable self optimization of coverage and capacity in LTE networks through base stations' downtilt angle adjustment.
The use of small cells is a promising way of providing the required capacity in future cellular networks through densification.
In femtocell deployments, leakage of the pilot signal to the outside of a house can result in a highly increased signalling load to the core network as a result of the increased number of handovers
Co-channel full-reuse transmission is an important property in LTE downlink, which will generate strong inter-cell interference (ICI), especially in case of heterogeneous networks.
Automatic configuration and optimization of networks is a key concept in Long Term Evolution (LTE) systems. Handover (HO) performances are differentiator indicators among mobile networks.
In order to meet demanding performance objectives in Long-Term Evolution (LTE) networks, it is mandatory to implement highly- efficient, autonomic self-optimization and configuration processes.
: In order to meet demanding performance objectives in Long-Term Evolution (LTE) networks, it is mandatory to implement highly-efficient, autonomic self-optimization and configuration processes.
The configuration of a neighbour cell list (NCL) in cellular networks has an important impact on the number of dropped calls and is traditionally optimized manually with the help of planning tools.
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