[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
and capabilities has received significant attention from researchers and are being deployed …
[PDF][PDF] 面向6G 的用户为中心网络研究综述
施建锋， 杨照辉， 黄诺， 陈晓， 张玉洁， 陈明 - 电子与信息学报, 2023 - jeit.ac.cn
与第5 代移动通信网络(5G) 相比, 第6 代移动通信网络(6G) 有望引入新的性能指标和应用方案,
如全球覆盖, 更高的频谱/能源/成本效率, 更高的智能和安全水平. 用户为中心网络(UCN) …
如全球覆盖, 更高的频谱/能源/成本效率, 更高的智能和安全水平. 用户为中心网络(UCN) …
Double deep Q-network-based energy-efficient resource allocation in cloud radio access network
Cloud radio access network (CRAN) has been shown as an effective means to boost
network performance. Such gain stems from the intelligent management of remote radio …
network performance. Such gain stems from the intelligent management of remote radio …
Irlnet: A short-time and robust architecture for automatic modulation recognition
H Yang, L Zhao, G Yue, B Ma, W Li - IEEE Access, 2021 - ieeexplore.ieee.org
Automatic modulation recognition with deep learning (DL) is challenging in distinguishing
high-order modulation modes and balancing complexity against recognition accuracy. In this …
high-order modulation modes and balancing complexity against recognition accuracy. In this …
Resource allocation for joint energy and spectral efficiency in cloud radio access network based on deep reinforcement learning
The rapid increase of user data traffic demand has promoted the telecommunication sector
toward adopting a new generation, that is, fifth‐generation (5G). Cloud radio access network …
toward adopting a new generation, that is, fifth‐generation (5G). Cloud radio access network …
Distributed asynchronous learning for multipath data transmission based on P-DDQN
Adaptive packet scheduling can efficiently enhance the performance of multipath Data
Transmission. However, realizing precise packet scheduling is challenging due to the nature …
Transmission. However, realizing precise packet scheduling is challenging due to the nature …
Proactive power control and position deployment for drone small cells: Joint supervised and unsupervised learning
SH Cheng, YT Shih, KC Chang - IEEE Access, 2021 - ieeexplore.ieee.org
Since unmanned aerial vehicles (UAV) are easily deployed, highly mobile, and hover
capability, they are utilized for many commercial applications. In particular, small cells …
capability, they are utilized for many commercial applications. In particular, small cells …
[HTML][HTML] Integration of resilience engineering and reinforcement learning in chemical process safety
Exothermic reactions carried out in batch reactors need a lot of attention to operate because
any insufficient condition can lead to thermal runaway causing an explosion in the worst …
any insufficient condition can lead to thermal runaway causing an explosion in the worst …
An efficient energy saving scheme using reinforcement learning for 5G and beyond in H-CRAN
Maximizing the energy saving is one of the most important metrics in 5G and Beyond (B5G)
cellular mobile networks. In order to satisfy the diverse requirements of 5G/B5G in dynamic …
cellular mobile networks. In order to satisfy the diverse requirements of 5G/B5G in dynamic …
Dueling double deep q-network based computation offloading and resource allocation scheme for internet of vehicles
F Jiang, Y Li, C Sun, C Wang - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
This paper investigates a computation offloading and resource allocation policy for multiple
vehicle user equipments (VUEs) in the Internet of Vehicles (IoV). Aiming at balancing the …
vehicle user equipments (VUEs) in the Internet of Vehicles (IoV). Aiming at balancing the …