Impact of quantized side information on subchannel scheduling for cellular V2X

Luis F. Abanto-Leon, Arie Koppelaar, Chetan Belagal Math, Sonia Heemstra de Groot

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Samenvatting

In Release 14, 3GPP completed a first version of cellular vehicle-to-everything (C-V2X) communications wherein two modalities were introduced. One of these schemes, known as \textit{mode-3}, requires support from eNodeBs in order to realize subchannel scheduling. This paper discusses a graph theoretical approach for semi- persistent scheduling (SPS) in \textit{mode-3} harnessing a sensing mechanism whereby vehicles can monitor signal-to-interference-plus-noise ratio (SINR) levels across sidelink subchannels. eNodeBs request such measurements from vehicles and utilize them to accomplish suitable subchannel assignments. However, since SINR values - herein also referred to as side information - span a wide range, quantization is required. We conclude that 3 bits per vehicle every 100 ms can provide sufficient granularity to maintain appropriate performance without severe degradation. Furthermore, the proposed algorithm is compared against pseudo-random and greedy SPS algorithms.

Originele taal-2Engels
Titel2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's5
ISBN van elektronische versie9781538663554
DOI's
StatusGepubliceerd - 20 jul 2018
Evenement87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duur: 3 jun 20186 jun 2018

Congres

Congres87th IEEE Vehicular Technology Conference, VTC Spring 2018
LandPortugal
StadPorto
Periode3/06/186/06/18

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Citeer dit

Abanto-Leon, L. F., Koppelaar, A., Math, C. B., & Heemstra de Groot, S. (2018). Impact of quantized side information on subchannel scheduling for cellular V2X. In 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VTCSpring.2018.8417882