An energy-efficiency multi-relay selection and power allocation based on deep neural network for amplify-and-forward cooperative transmission
YY Guo, J Yang, XL Tan, Q Liu - IEEE Wireless …, 2021 - ieeexplore.ieee.org
In this letter, an energy-efficiency (EE) resource allocation strategy is investigated for the
amplify-and-forward (AF) protocol used to forward data to the destination. First, we formulate …
amplify-and-forward (AF) protocol used to forward data to the destination. First, we formulate …
Intelligent Anti-jamming Decision Algorithm for Frequency Hop** Network Based on Multi-agent Fuzzy Deep Reinforcemnet Learning
Z ZHAO, J ZHU, X YE, J SHANG - 电子与信息学报, 2022 - jeit.ac.cn
In order to improve the anti-jamming performance of frequency hop** asynchronous
network in complex electromagnetic environment, a Multi-agent Fuzzy Deep Reinforcement …
network in complex electromagnetic environment, a Multi-agent Fuzzy Deep Reinforcement …
Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
C Zhang, X Liao, Z Wu, G Qiu, Z Chen, Z Yu - Sensors, 2023 - mdpi.com
This paper investigates the problem of buffer-aided relay selection to achieve reliable and
secure communications in a two-hop amplify-and-forward (AF) network with an …
secure communications in a two-hop amplify-and-forward (AF) network with an …
Few-shot decision-making method for high-speed driving based on large model architecture
Y Yu, J Guan, L Cheng, Y Li, Y Xu - Proceedings of the 2024 3rd Asia …, 2024 - dl.acm.org
Compared with low-speed automatic driving, high-speed automatic driving often leads to
safety accidents. This paper focuses on the decision-making of high-speed safe driving …
safety accidents. This paper focuses on the decision-making of high-speed safe driving …
A Relay Buffer Prediction Method Based on LSTM in Terminal Cooperative Communication
J Fei, H Zhi, K Tie - 2023 IEEE 23rd International Conference …, 2023 - ieeexplore.ieee.org
In terminal cooperative communication, relay assisted communication with buffer has
significant advantages in improving system throughput, signal-to-noise ratio, and reducing …
significant advantages in improving system throughput, signal-to-noise ratio, and reducing …
[PDF][PDF] 基于多智能体模糊深度**化学**的跳频组网智能抗干扰决策算法
赵知劲, 朱家晟, 叶学义, 尚俊娜 - 电 子 与 信 息 学 报, 2022 - jeit.ac.cn
为提高复杂电磁环境下跳频异步组网的抗干扰性能, 该文提出一种基于集中式训练和分散式执行
框架的多智能体模糊深度**化学**(MFDRL-CTDE) 算法. 针对多种干扰并存的复杂电磁环境和 …
框架的多智能体模糊深度**化学**(MFDRL-CTDE) 算法. 针对多种干扰并存的复杂电磁环境和 …
Design and Analysis of Buffer-Aided Cooperative Networks using Deterministic and Reinforcement Learning Techniques
S El Zahr - 2022 - laur.lau.edu.lb
Applications enabled by 5G technology resulted in an unforeseen increase in data traffic
and data flows from any source to a destination are experiencing increased outages, delays …
and data flows from any source to a destination are experiencing increased outages, delays …
Cognitive Unmanned Aerial Vehicle Network Relay Selection Algorithm under Hybrid Decision.
BAO Haidong, JI Baofeng… - Journal of Henan …, 2022 - search.ebscohost.com
For improving the spectrum efficiency of unmanned aerial vehicle (UAV)-assisted
communication networks, a hybrid decision-making relay selection algorithm for cognitive …
communication networks, a hybrid decision-making relay selection algorithm for cognitive …