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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1109/ssd.20...
Article . 2012 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1515/978311...
Part of book or chapter of book . 2017 . Peer-reviewed
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DBLP
Conference object . 2020
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Improved power allocation in parallel Poisson channels

Authors: Razgar Rahimi; Gholamreza Dadashzadeh;

Improved power allocation in parallel Poisson channels

Abstract

The optimum power allocation for parallel Poisson channels which can minimize average power for obtaining maximum capacity is considered. In this paper a new power allocation scheme that outperforms previous schemes for more than enough powers is presented. Since in Poisson channels unbounded channel feeding with input power do not lead to a better utilization of the channel capacity, in the presented scheme extra powers that are more than required power for achieving maximum capacity are not used or if power dissipation is not possible, the extra power can be allocated in a new way which shows an improvement in the channel capacity. This approach is applied to the 2-fold parallel Poisson channels and is generalized to n-fold.

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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!
1
Average
Average
Average
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