@inproceedings{d33b75799e834c509c307266daaf2ab9,
title = "Centralized self-optimization in LTE-A using active antenna systems",
abstract = "Active Antenna Systems (AAS) have the flexibility to electronically orient the antenna beams thereby providing a flexible and efficient control over the performance of the network in terms of coverage, capacity and Quality-of-Service (QoS). In this paper we propose a new centralized self-optimizing method which adapts antenna tilts according to a specified objective. The proposed method uses a surrogate function to model the functional relationships between noisy Key Performance Indicators (KPIs) and antenna parameters, and subsequently performs optimization of the model using a pattern search algorithm in an iterative manner. The methodology is applied to solve several multi-parameter self-optimization problems in a Long Term Evolution Advanced (LTE-A) network. Results obtained using a flow level simulator shows the advantages of the proposed AAS optimization method in terms of fast convergence, performance and flexibility in multi-parameter network optimization.",
keywords = "Active Antenna Systems, Automated Optimization, Kriging, Load Balancing, Pattern Search, Self-optimization",
author = "Yasir Khan and Berna Sayrac and Eric Moulines",
year = "2013",
month = jan,
day = "1",
doi = "10.1109/WD.2013.6686435",
language = "English",
isbn = "9781479905423",
series = "IFIP Wireless Days",
publisher = "IEEE Computer Society",
booktitle = "2013 IFIP Wireless Days, WD 2013",
note = "6th IFIP/IEEE Wireless Days Conference, WD 2013 ; Conference date: 13-11-2013 Through 15-11-2013",
}