过去一年中添加的文章，按日期排序
AoI-oriented Resource Allocation for NOMA-based Wireless Powered Cognitive Radio Networks based on Multi-agent Deep Reinforcement Learning
T He, Y Peng, Y Liu, H Song - IEEE Access, 2024 - ieeexplore.ieee.org
59 天前 - … Deep reinforcement learning optimal transmission algorithm for cognitive Internet
of Things … and optimal arrival rate allocation,’’ IEEE Internet Things J., vol. 10, no. 23, pp. …
of Things … and optimal arrival rate allocation,’’ IEEE Internet Things J., vol. 10, no. 23, pp. …
Optimizing Resource Allocation in MEC-Enabled CR-NOMA-Assisted IoT Networks: A DRL-Driven Strategy
MT Qaiser, MS Sohail, M Shafqat… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
90 天前 - … server, while employing a cognitive radio-inspired non… We propose a deep
reinforcement learning (DRL)–based … an algorithm to optimize offloading decisions and transmit …
reinforcement learning (DRL)–based … an algorithm to optimize offloading decisions and transmit …
DDPG-based Sum Rate Optimization for Opportunistic Backscatter NOMA Networks
222 天前 - … passive IoT device in a cognitive radio inspired non-… the best of our knowledge,
a deep reinforcement learning (… the BN in the uplink transmission to maximize its sum rate. …
a deep reinforcement learning (… the BN in the uplink transmission to maximize its sum rate. …
Physical layer security enhancement in energy harvesting-based cognitive internet of things: A GAN-powered deep reinforcement learning approach
R Lin, H Qiu, J Wang, Z Zhang, L Wu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
346 天前 - … a deep reinforcement learning (DRL)-based framework for the joint EH time and
transmission … in overlay cognitive radio networks,” IEEE Internet Things J., vol. 6, no. 2, pp. …
transmission … in overlay cognitive radio networks,” IEEE Internet Things J., vol. 6, no. 2, pp. …