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ACRA: Adaptive clustering resource allocation for vehicle to vehicle communications

Authors: Cheng-Yu Chen; Arvin C.-S. Huang; Jen-Yeu Chen;

ACRA: Adaptive clustering resource allocation for vehicle to vehicle communications

Abstract

Vehicle-to-Vehicle (V2V) communication service is one of the important building block for the applications of the next generation wireless network (5G networks) and is already included in 3GPP Rel-13. The key requirements for V2V communication services are to provide an ultra-reliable and low-latency communication. Therefore, the challenges of providing V2V communication services are to effectively utilize the limited resources to improve the communication capacity and reliability while reducing the computation loading in base stations to decrease the latency of communication. In this paper, we propose and analyze an effective vehicle clustering and region-based frequency reusing scheme in highway scenario and propose a novel adaptive scheme that can beneficially reduce the network computing complexity.

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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.
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