Low latency ambient backscatter communications with deep Q-learning for beyond 5G applications
Low latency is a critical requirement of beyond 5G services. Previously, the aspect of latency
has been extensively analyzed in conventional and modern wireless networks. With the …
has been extensively analyzed in conventional and modern wireless networks. With the …
Machine learning techniques for wireless-powered ambient backscatter communications: Enabling intelligent IoT networks in 6G era
Abstract Machine learning is a rapidly evolving paradigm that has the potential to bring
intelligence and automation to low-powered devices. In parallel, there have been …
intelligence and automation to low-powered devices. In parallel, there have been …
Deep reinforcement learning mac for backscatter communications relying on Wi-Fi architecture
In this paper, we propose a distributed deep reinforcement learning (DRL) based medium
access control (MAC) protocol, termed DRL-MAC, which is used to assist the backscatter …
access control (MAC) protocol, termed DRL-MAC, which is used to assist the backscatter …
Throughput maximization for ambient backscatter communication: A reinforcement learning approach
X Wen, S Bi, X Lin, L Yuan… - 2019 IEEE 3rd Information …, 2019 - ieeexplore.ieee.org
Ambient backscatter (AB) communication is an emerging wireless communication
technology that enables wireless devices (WDs) to communicate without requiring active …
technology that enables wireless devices (WDs) to communicate without requiring active …
Next generation backscatter communication: systems, techniques, and applications
The rapid growth of IoT driven by recent advancements in consumer electronics, 5G
communication technologies, and cloud-computing-enabled big data analytics, has recently …
communication technologies, and cloud-computing-enabled big data analytics, has recently …
Deep transfer learning-assisted signal detection for ambient backscatter communications
Existing tag signal detection algorithms inevitably suffer from a high bit error rate (BER) due
to the difficulties in estimating the channel state information (CSI). To eliminate the …
to the difficulties in estimating the channel state information (CSI). To eliminate the …
Deep Reinforcement Learning for Backscatter Communications: Augmenting Intelligence in Future Internet of Things
Backscatter communication (BC) technology offers sustainable solutions for next-generation
Internet-of-Things (IoT) networks, where devices can transmit data by reflecting and …
Internet-of-Things (IoT) networks, where devices can transmit data by reflecting and …
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 …
Performance analysis of LoRa-backscatter communication system in AWGN channels
Future wireless networks are evolving towards enabling reliable communications for
miniature-sized and resource-constrained Internet of things (IoT) devices, imposing stringent …
miniature-sized and resource-constrained Internet of things (IoT) devices, imposing stringent …
Machine learning based signal detection for ambient backscatter communications
The ambient backscatter communication (AmBC) system enables radio-frequency (RF)
powered devices (eg, tags, sensors) to transmit their information bits to readers by …
powered devices (eg, tags, sensors) to transmit their information bits to readers by …