期刊
IEEE COMMUNICATIONS LETTERS
卷 22, 期 6, 页码 1292-1295出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2018.2828407
关键词
5G; URLLC; V2V communications; finite block-length; extreme value theory
资金
- Academy of Finland project CARMA
- INFOTECH project NOOR
- Kvantum Institute strategic project SAFARI
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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