DocumentCode
587575
Title
Performance of fast cell selection in two-tier OFDMA networks with small cells
Author
Becvar, Zdenek ; Mach, P.
Author_Institution
Dept. of Telecommun. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear
2012
fDate
21-23 Nov. 2012
Firstpage
1
Lastpage
3
Abstract
If large amount of small cells, i.e., femtocells, picocells or microcells, is deployed, users perform handover among small cells and macrocells very often. In OFDMA networks, only hard handover is usually supported as this type can be implemented easily. On the other hand, frequent hard handover negatively influence a quality of service experienced by users. The degradation of the quality is a consequence of a short interruption in communication during hard handover and due to redundant overhead generated for controlling and managing the handover procedure. This paper investigates performance of a fast cell selection applied in two-tier networks with small cells and compares it with the hard handover. We focus on the impact of a backhaul capacity limitation on the performance of both hard handover and fast cell selection. As our results indicate, there is a gain in throughput introduced by the fast cell selection if the backhaul of the small cells is not a bottleneck in term of capacity. Nevertheless, if the backhaul capacity is limited, the fast cell selection is profitable only for low bitrates. This observation indicates a need for mandatory consideration of the backhaul capacity for the fast cell selection in the networks with small cells.
Keywords
OFDM modulation; frequency division multiple access; mobility management (mobile radio); fast cell selection; hard handover; small cells; two-tier OFDMA networks; fast cell selection; hard handover; mobility management; performance evaluation; small cells;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Days (WD), 2012 IFIP
Conference_Location
Dublin
ISSN
2156-9711
Print_ISBN
978-1-4673-4402-9
Electronic_ISBN
2156-9711
Type
conf
DOI
10.1109/WD.2012.6402831
Filename
6402831
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