Decentralized power allocation for MIMO-NOMA vehicular edge computing based on deep reinforcement learning

H Zhu, Q Wu, XJ Wu, Q Fan, P Fan… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …

Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning

H Zhu, Q Wu, X Wu, Q Fan, P Fan, J Wang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …

Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning

H Zhu, Q Wu, X Wu, Q Fan, P Fan, J Wang - arXiv preprint arXiv …, 2021 - arxiv.org
Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …