Large-scale wireless-powered networks with backscatter communications—A comprehensive survey
F Rezaei, C Tellambura… - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Massive and ubiquitous deployment of devices in networks of fifth generation (5G) and
beyond wireless has necessitated the development of ultra-low-power wireless …
beyond wireless has necessitated the development of ultra-low-power wireless …
Learning-based resource allocation for backscatter-aided vehicular networks
Heterogeneous backscatter networks are emerging as a promising solution to address the
proliferating coverage and capacity demands of next-generation vehicular networks …
proliferating coverage and capacity demands of next-generation vehicular networks …
The state of ai-empowered backscatter communications: A comprehensive survey
The Internet of Things (IoT) is undergoing significant advancements, driven by the
emergence of Backscatter Communication (BC) and Artificial Intelligence (AI). BC is an …
emergence of Backscatter Communication (BC) and Artificial Intelligence (AI). BC is an …
Intelligent user association for symbiotic radio networks using deep reinforcement learning
In this paper, we are interested in symbiotic radio networks (SRNs), in which an Internet-of-
Things (IoT) network parasitizes in a primary cellular network to achieve spectrum-, energy …
Things (IoT) network parasitizes in a primary cellular network to achieve spectrum-, energy …
反向散射通信网络资源分配综述
徐勇军， 杨浩克， 叶迎晖， 陈前斌， 卢光跃 - 物联网学报, 2021 - infocomm-journal.com
随着物联网技术的发展, 无线网络呈现出大规模用户接入, 高功耗, 高吞吐量需求等特点.
为了满足传输和降低能耗的需求, 反向散射通信技术被认为是解决上述问题最有效的方案之一 …
为了满足传输和降低能耗的需求, 反向散射通信技术被认为是解决上述问题最有效的方案之一 …
Resource allocation in mobility-aware federated learning networks: A deep reinforcement learning approach
Federated learning allows mobile devices, ie, workers, to use their local data to
collaboratively train a global model required by the model owner. Federated learning thus …
collaboratively train a global model required by the model owner. Federated learning thus …
Next-generation wireless solutions for the smart factory, smart vehicles, the smart grid and smart cities
5G wireless systems will extend mobile communication services beyond mobile telephony,
mobile broadband, and massive machine-type communication into new application …
mobile broadband, and massive machine-type communication into new application …
Towards intelligent IoT networks: Reinforcement learning for reliable backscatter communications
Backscatter communication is becoming the focal point of research for low-powered Internet
of things (IoT). However, the intelligence aspect of the backscattering devices is not well …
of things (IoT). However, the intelligence aspect of the backscattering devices is not well …
“DRL+ FL”: An intelligent resource allocation model based on deep reinforcement learning for mobile edge computing
N Shan, X Cui, Z Gao - Computer Communications, 2020 - Elsevier
With the emergence of a large number of computation-intensive and time-sensitive
applications, smart terminal devices with limited resources can only run the model training …
applications, smart terminal devices with limited resources can only run the model training …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …