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
|Author:||Liu, Chen-Feng1; Bennis, Mehdi1|
1Centre for Wireless Communications, University of Oulu
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018090334412
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-09-03
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.
IEEE communications letters
|Pages:||1292 - 1295|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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.
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.