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ZigZag Decodable Coded Slotted ALOHA

Authors: Masaru Oinaga; Shun Ogata; Koji Ishibashi;

ZigZag Decodable Coded Slotted ALOHA

Abstract

We propose ZigZag decodable coded slotted ALOHA (ZDCSA) by applying ZigZag decoding (ZD) into ALOHA scheme with successive interference cancellation (SIC), namely coded ALOHA. It is known that the throughput performance of coded ALOHA schemes degrades when a channel traffic is high. ZD is able to suppress such throughput degradation by resolving collisions of two packets, where the colliding users are requested to retransmit their packets immediately in order to utilize ZD. In this paper, an optimization method to maximize the throughput performance of ZDCSA is also proposed. Through numerical analysis, it is shown that our proposed scheme succeeds in suppressing the throughput degradation in high traffic region and outperforms coded ALOHA schemes in terms of peak throughput performance in a practical situation e.g. a system consists of 103 users.

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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!
5
Average
Average
Top 10%
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