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Resolving Collisions Via Incremental Redundancy: ARQ Diversity

Authors: Young-Han Nam; Praveen Kumar Gopala; Hesham El Gamal;

Resolving Collisions Via Incremental Redundancy: ARQ Diversity

Abstract

A cross-layer approach is adopted for the design of finite-user symmetric random access wireless systems. Instead of the traditional collision model, a more realistic physical layer model is adopted. An incremental redundancy automatic repeat request (IR-ARQ) scheme, tailored to jointly combat the effects of user collisions, multi-path fading, and channel noise, is proposed. The diversity-multiplexing-delay tradeoff of the proposed scheme is analyzed for fully-loaded queues, and compared with that of the Gallager tree algorithm for collision resolution and the network-assisted diversity multiple access (NDMA) protocol of Tsatsanis et at.. The fully-loaded queue model is then replaced by one with random arrivals, where the three protocols are compared in terms of the stability region and average delay. Overall, our analytical and numerical results establish the superiority of the proposed IR-ARQ scheme and reveal some important insights. For example, it turns out that the performance is optimized, for a given total throughput, by maximizing the probability that a certain user will send a new packet and minimizing the transmission rate employed by each user.

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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
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