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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao PURE Aarhus Universi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
PURE Aarhus University
Contribution for newspaper or weekly magazine . 2008
https://doi.org/10.1109/pimrc....
Article . 2008 . Peer-reviewed
Data sources: Crossref
TU Delft Repository
Conference object . 2008
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Downlink resource allocation for evolved UTRAN and WiMAX cellular systems

Authors: Jorgušeski, L.; Le, T. M.H.; Fledderus, E. R.; Prasad, R.;

Downlink resource allocation for evolved UTRAN and WiMAX cellular systems

Abstract

The future broadband wireless cellular systems evolved UTRAN (E-UTRAN) and WiMAX are receiving a lot of interest in recent years. Both systems deploy orthogonal frequency division multiplex (OFDM) physical layer consisting of large number of mutually orthogonal sub-carriers. This physical layer provides high robustness against multi-path effects, high flexibility in allocation of the physical resources, high bandwidth scalability and relatively easy combination with Multiple-Input-Multiple-Output (MIMO) transmission and reception. In this study we investigate several algorithms for allocation of the downlink resources for E-UTRAN and WiMAX cellular systems. The goal of the study is to see the differences in downlink sector and user throughput, and user throughput versus distance from the reference base station for the resource allocation algorithms: reuse-one, reuse-three, soft re-use, reuse partitioning, proportional fair and maximum C/I. Additionally, we observe the difference in performance between E-UTRAN and WiMAX under the conditions selected in this study. The evaluations are done via MATLAB simulations of a cellular system with one central three-sectored site surrounded with two tiers of interfering three-sector sites.

Keywords

Sector throughput, WiMAX, Physical layer, Resource management, User throughput versus distance, Throughput, Partitioning algorithms, Resource allocation algorithms, E-UTRAN, OFDMA, MIMO, Downlink resource allocation, Frequency division multiplexing, User throughput, Wireless cellular systems, OFDM

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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