Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach

The development of information technology has changed the mode of communication of social information, and this change has put forward new requirements on the contents, methods and even objects of information science research. Knowledge service in the information service process can extract knowledge and information content from various explicit and implicit knowledge resources according to people’s needs, build knowledge networks, and provide knowledge content or solutions for users’ problems. Hence, it is very important to investigate how to analyze and design the advanced standard knowledge service system based on deep learning. To this end, we firstly introduce the typical deep learning networks of convolutional neural network (CNN) for the knowledge service system, and then employ the CNN to implement the knowledge classification based on deep learning. Finally, some simulation results on the knowledge service system are presented to validate the proposed studies in this paper.

“…Let I ∈ R N×H×W×C be the input data for a certain layer of the CNN, and the output feature map from the convolutional layer can be obtained as [17,18]…”

Section: System Model Of Deep Learning For Standard Knowledge Service...mentioning

confidence: 99%

Analysis and Design of Standard Knowledge Service System based on Deep Learning

Zhou

Lin

et al. 2022

“…Notations z 1 and z 2 denote the channel of the link from the source S to D and to M, respectively [11][12][13]. According to the given system model, the transmission data rate from S to D can be expressed as [14,15]…”

Section: System Modelmentioning

confidence: 99%

Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks

Shi

Liu

2022

Promoted by the rapid development of information technology, 10kV overhead line has been widely used in the majority of cities, and it is of great significance to monitor the distribution network effectively, in order to ensure the normal operation of the system. Most of traditional distribution network monitoring methods are based on manual work, which causes inconvenience to the distribution network fault location, repair, maintenance and real-time monitoring, and reduces the efficiency of the distribution network emergency repair and the reliability of power supply. Aiming at the automatic monitoring problem of 10kV overhead network, this paper adopts an intelligent wireless monitoring technology, where a monitoring node is employed to monitor the network transmission status through wireless links. We evaluate the system monitoring performance by using the metric of outage probability, depending on the wireless data rate over wireless channels. For the considered system, we derive analytical outage probability, in order to measure the system performance in the whole range of signal-to-noise ratio (SNR). The simulation results are finally presented to verify the analytical expressions on the system monitoring outage probability in this paper.

“…The downlink MIMO NOMA communication system was studied in [23][24][25] to obtain an upper bound of the active wireless transmission latency of the system. Moreover, consistent latency and reliability among receivers by optimizing transmission power allocation can be obtained among multiple users.…”

Section: The Study Of the Latency Of Active Wireless Transmissionmentioning

confidence: 99%

An Overview on Active Transmission Techniques for Wireless Scalable Networks

Tang

Lai

Zhang

et al. 2022

Currently, massive data communication and computing pose a severe challenge on existing wireless network architecture, from various aspects such as data rate, latency, energy consumption and pricing. Hence, it is of vital importance to investigate active wireless transmission for wireless networks. To this end, we first overview the data rate of wireless active transmission. We then overview the latency of wireless active transmission, which is particularly important for the applications of monitoring services. We further overview the spectral efficiency of the active transmission, which is particularly important for the battery-limited Internet of Things (IoT) networks. After these overviews, we give several critical challenges on the active transmission, and we finally present feasible solutions to meet these challenges. The work in this paper can serve as an important reference to the wireless networks and IoT networks.