Journal
IEEE COMMUNICATIONS LETTERS
Volume 22, Issue 6, Pages 1292-1295Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2018.2828407
Keywords
5G; URLLC; V2V communications; finite block-length; extreme value theory
Categories
Funding
- Academy of Finland project CARMA
- INFOTECH project NOOR
- Kvantum Institute strategic project SAFARI
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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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