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Energy Procedia
Article . 2012 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Energy Procedia
Article
License: CC BY NC ND
Data sources: UnpayWall
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Energy Procedia
Article . 2012
License: CC BY NC ND
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Semi-Blind HEBB-PPIC Multiuser Detection Algorithm

Authors: Yanping, Li; Hengshan, Zong; Yongbo, Zhang;

Semi-Blind HEBB-PPIC Multiuser Detection Algorithm

Abstract

AbstractInter-cell interference greatly impairs the capacity of CDMA system. 4G era is coming with much severer inter-cell inte-rference, and it's important to find a good solution to inter-cell Interference cancellation. In this paper, the semiblind Hebb-PPIC Multi-User Detection(MUD algorithm which applied in the CDMA uplink is proposed. This approach fully utilizes all known users’ information, performs Hebb-PPIC detector to suppress the int-erferers within the cell, and exploits the blind detector to suppress the inter-cell interference. Simulation results demonstrate that the proposed Hebb-PPIC semi-blind algorithm offers substantial perfo-rmance gains over the blind multi-user detection methods, and the Multiple Access Interference and Near-Far effect can be suppressed effectively in a CDMA uplink environment.

Related Organizations
Keywords

Inter-cell interference, Energy(all), Hebb-PPIC, Multi-user Detection

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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!
0
Average
Average
Average
gold