NDLI: A stochastic association mechanism for macro-to-femtocell handover

Content Provider	IEEE Xplore Digital Library
Author	de Lima, C.H.M. Ghaboosi, K. Bennis, M. MacKenzie, A.B. Latva-aho, M.
Copyright Year	2010
Description	Author affiliation: Department of Electrical and Computer Engineering, Virginia Tech, USA (MacKenzie, A.B.) \|\| Centre for Wireless Communications, University of Oulu, Finland (de Lima, C.H.M.; Ghaboosi, K.; Bennis, M.; Latva-aho, M.)
Abstract	In this paper, we consider a macrocell site underlaid with self-organizing stand-alone femtocells and propose a mechanism for macro-to-femtocell handover, inspired by multi-stage Dutch auctions. The proposed solution introduces a new distributed handover procedure, which does not rely on any centralized coordination typically performed by the macro base stations in existent cellular systems. The applicability of this solution is assessed through system-level simulations using the Monte Carlo approach. When considering the duration of association procedures, results have shown that the distributed mechanism scales well with increasing density of femtocell sites. Additionally, macrocell users benefit from better link quality and less uncoordinated interference generated by the underlay femtocell tier. To illustrate, after performing handover, the co-channel interference experienced by a tagged macrocell user becomes less than one tenth of that in full interference scenario.
Starting Page	1570
Ending Page	1574
File Size	545718
Page Count	5
File Format	PDF
ISBN	9781424497225
ISSN	10586393
e-ISBN	9781424497218
DOI	10.1109/ACSSC.2010.5757801
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Femtocells Interference Nominations and elections Quality of service Macrocell networks Radiation detectors Femtocell networks
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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