Deep learning channel prediction for transmit power control in wireless body area networks
The general non-stationarity of the wireless body area network (WBAN) narrowband radio
channel makes long-term prediction very challenging. However, long short-term memory …
channel makes long-term prediction very challenging. However, long short-term memory …
Power control for body area networks: Accurate channel prediction by lightweight deep learning
Recent advances in the Internet of Things (IoT) are reforming the health care industry by
providing higher communication efficiency, lower costs, and higher mobility. Among the …
providing higher communication efficiency, lower costs, and higher mobility. Among the …
Power-Adaptive Communication With Channel-Aware Transmission Scheduling in WBANs
Radio links in wireless body area networks (WBANs) are highly subject to short and long-
term attenuation due to the unstable network topology and frequent body blockage. This …
term attenuation due to the unstable network topology and frequent body blockage. This …
DeepBAN: a temporal convolution-based communication framework for dynamic WBANs
Wireless body area network (WBAN) has become a promising technology, which can be
widely applied in health monitoring, and so on. However, the performance of a practical …
widely applied in health monitoring, and so on. However, the performance of a practical …
Chimp: A learning-based power-aware communication protocol for wireless body area networks
Radio links in wireless body area networks (WBANs) commonly experience highly time-
varying attenuation due to the dynamic network topology and frequent occlusions caused by …
varying attenuation due to the dynamic network topology and frequent occlusions caused by …
Temporal correlation model‐based transmission power control in wireless body area network
Researchers have encountered many challenges in developing communication system in
wireless body area networks (WBANs). These challenges include the dynamic …
wireless body area networks (WBANs). These challenges include the dynamic …
A machine learning-based dynamic link power control in wearable sensing devices
The main research challenges on developing Wireless Body Area Networks (WBAN) are
related to the quality of the communication link and energy consumption. This article …
related to the quality of the communication link and energy consumption. This article …
Integrating IoT in WBANs: An energy-efficient and QoS-aware approach for rapid model-driven transmission power control and link adaptation
DR Chen - Internet of Things, 2024 - Elsevier
Abstract Wireless Body Area Networks (WBAN) are integral to the application framework of
the Internet of Things (IoT) domain, especially in applications demanding efficient …
the Internet of Things (IoT) domain, especially in applications demanding efficient …
Adaptive body area networks using kinematics and biosignals
The increasing penetration of wearable and implantable devices necessitates energy-
efficient and robust ways of connecting them to each other and to the cloud. However, the …
efficient and robust ways of connecting them to each other and to the cloud. However, the …
Deep learning for fading channel prediction
W Jiang, HD Schotten - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel conditions and consequently achieve great …
parameters to instantaneous channel conditions and consequently achieve great …