University of Oulu

C. Liu and M. Bennis, "Ultra-Reliable and Low-Latency Vehicular Transmission: An Extreme Value Theory Approach," in IEEE Communications Letters, vol. 22, no. 6, pp. 1292-1295, June 2018. doi: 10.1109/LCOMM.2018.2828407

Ultra-reliable and low-latency vehicular transmission : an extreme value theory approach

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Author: Liu, Chen-Feng1; Bennis, Mehdi1
Organizations: 1Centre for Wireless Communications, University of Oulu
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018090334412
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2018-09-03
Description:

Abstract

Considering a Manhattan mobility model in vehicle-to-vehicle networks, this work studies a power minimization problem subject to second-order statistical constraints on latency and reliability, captured by a network-wide maximal data queue length. We invoke results in extreme value theory to characterize the statistics of extreme events in terms of the maximal queue length. By leveraging Lyapunov stochastic optimization to deal with network dynamics, we propose two queue-aware power allocation solutions. In contrast with the baseline, our approaches achieve lower mean and variance of the maximal queue length.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 22
Issue: 6
Pages: 1292 - 1295
DOI: 10.1109/LCOMM.2018.2828407
OADOI: https://oadoi.org/10.1109/LCOMM.2018.2828407
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
5G
Funding: This work was supported in part by the Academy of Finland project CARMA, in part by the INFOTECH project NOOR, and in part by the Kvantum Institute strategic project SAFARI.
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