NDLI: An analytical view of static intercell interference coordination techniques in OFDMA networks

Content Provider	IEEE Xplore Digital Library
Author	Gonzalez Gonzalez, D. Garcia-Lozano, M. Ruiz Boque, S. Olmos, J.
Copyright Year	2012
Description	Author affiliation: Universitat Politècnica de Catalunya. Department of Signal Theory and Communications, Escola d'Enginyeria de Telecomunicació i Aeroespacial (EETAC), C/ Esteve Terradas, 7. 08860, Castelldefels, Barcelona, Spain (Gonzalez Gonzalez, D.; Garcia-Lozano, M.; Ruiz Boque, S.; Olmos, J.)
Abstract	This paper presents a novel methodology to assess the downlink performance of static intercell interference coordination techniques in the context of OFDMA-based cellular networks. In the last few years, interference mitigation techniques have been considered a research topic of utmost importance since intercell interference is the main issue limiting the capacity of modern cellular technologies such as LTE and WiMAX. The methodology presented in this paper should be understood not only as an analytical shortcut to foresee overall network interference conditions but also a mean to properly establish bounds to parameters associated to static intercell interference techniques operation. Moreover, the analysis allows to take into account both local large scale fading particularities and mobile operators' preferences. In this sense, results show how the resulting set of preferred operational points is in general operator-dependent and hence, the usefulness of the proposed framework is established.
Starting Page	300
Ending Page	305
File Size	752762
Page Count	6
File Format	PDF
ISBN	9781467306812
e-ISBN	9781467306829
DOI	10.1109/WCNCW.2012.6215510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement OFDM Interference Bandwidth Mobile communication Mathematical model Signal to noise ratio
Content Type	Text
Resource Type	Article

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