DocumentCode
2024587
Title
Performances evaluation of different algorithms for PCIs self configuration in LTE
Author
Krichen, Moez ; Barth, Dominique ; Marce, Olivier
Author_Institution
PRiSM, Univ. of Versailles, Versailles, France
fYear
2012
fDate
12-14 Dec. 2012
Firstpage
197
Lastpage
203
Abstract
Nowadays, network operators are basically facing two problems: the fast number of subscribers growth and the network congestion. To solve these problems, network operators increase the number of cells, make cells smaller and reserve a subpart of frequencies to Femto cells to offload data traffic. As a consequence, networks manual planning demands a lot of efforts and its cost increases. Self-configuring and self-optimizing mechanisms would be vital to operators to reduce manual planning. This article focuses on the application of these mechanisms in LTE and more specifically on the procedure of Automated configuration of Physical Cell Ids (PCIs). This procedure aims at avoiding conflicts in PCIs allocation. In this article, we first evaluate the performances of 3 relabeling algorithms applied on graphs representing real LTE Macro networks: Random Relabeling algorithm (RR), Smallest available Value algorithm (SV), Distance 3 neighbour label algorithm (D3). Then, we evaluate the performances of the best algorithm applied on graphs representing real LTE networks where Femto cells are connected to Macro cells. Here, we answer the following question: is the selected relabeling algorithm still efficient when we extend its application to Femto cells?.
Keywords
Long Term Evolution; femtocellular radio; performance evaluation; telecommunication congestion control; telecommunication traffic; Femto cells; PCI allocation; PCI self configuration; automated configuration; different algorithms; distance 3 neighbour label algorithm; network congestion; network operators; networks manual planning; offload data traffic; performance evaluation; physical cell Id; random relabeling algorithm; real LTE macro networks; relabeling algorithms; self-configuring mechanisms; self-optimizing mechanisms; smallest available value algorithm; subscribers growth; Context; Image edge detection; Labeling; Long Term Evolution; Mobile communication; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks (ICON), 2012 18th IEEE International Conference on
Conference_Location
Singapore
ISSN
1556-6463
Print_ISBN
978-1-4673-4521-7
Type
conf
DOI
10.1109/ICON.2012.6506558
Filename
6506558
Link To Document