Physical cell identifler selection in femtocell networks LTE-Advanced:Bibliographic overview and proposal of efficient algorithms

Postgraduate Thesis uoadl:1317340 604 Read counter

Unit:
Κατεύθυνση / ειδίκευση Δικτύωση Υπολογιστών (ΔΙΚ)
Library of the School of Science
Deposit date:
2013-07-23
Year:
2013
Author:
Αγγελή Αθανασία
Χαρακλιά Δήμητρα - Μαρία
Supervisors info:
Λάζαρος Μεράκος Καθηγητής
Original Title:
Επιλογή φυσικού αναγνωριστικού κυψέλης σε Δίκτυα Φεμτοκυψελών LTE-Advanced: Βιβλιογραφική Επισκόπηση και Πρόταση Αποδοτικών Αλγορίθμων
Languages:
Greek
Translated title:
Physical cell identifler selection in femtocell networks LTE-Advanced:Bibliographic overview and proposal of efficient algorithms
Summary:
The ever increasing demand for high data rates inside of buildings, combined
with the limited throughput per unit area solution provided by the macro cells
users of a cellular system, makes the requirement for new alternatives
increasingly urgent. Towards this direction, aiming to boost the signal indoors
the solution of Femtocells has been proposed, which are basically home base
stations. The technology of Femtocells has developed rapidly in recent years
both in academic as well as in industrial level. Based on the technology of
femtocells, this thesis discusses the mechanisms to distinguish cells in modern
communication systems. In these systems, the identification of the cells is
based on a limited number of identifiers, also known as physical cell
identifiers. However, in macrocell and femtocell networks because of the
overlap and the densification that is observed, it is necessary to reuse these
identifiers. This reuse may lead to concomitant use of identifiers known as
physical cell identifier confusion problem. In order to solve this problem
distributed selection techniques can be used. In this thesis, there is an
overview of the existing selection methods and a new proposal is presented,
that assists this process. Subsequently, there is an extensive system level
simulation to evaluate the performance of the proposed algorithm. Finally, the
proposed algorithm is compared with a random physical identifier selection
scheme and is proved that it leads to better performance in terms of uniform
distribution in the coverage area of a macrocell.
Keywords:
Femtocell, Physical Cell Identifier (PCI), Physical Cell Identifier selection Algorithms, Centralized committal of Physical Cell Identifier, Distributed committal of Physical Cell Identifier
Index:
Yes
Number of index pages:
101-102
Contains images:
Yes
Number of references:
30
Number of pages:
114
File:
File access is restricted only to the intranet of UoA.

document.pdf
2 MB
File access is restricted only to the intranet of UoA.