Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
Wireless power transfer in wirelessly powered sensor networks: A review of recent progress
With the emergence of the Internet of Things (IoT), billions of wireless devices, including
sensors and wearable devices, are evolving under the IoT technology. The limited battery …
sensors and wearable devices, are evolving under the IoT technology. The limited battery …
Wireless power transfer for future networks: Signal processing, machine learning, computing, and sensing
Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its
full potential in future networks, not only to convey information but also to deliver energy …
full potential in future networks, not only to convey information but also to deliver energy …
Learning-aided UAV 3D placement and power allocation for sum-capacity enhancement under varying altitudes
Unmanned air vehicle (UAV) as an aerial base station (ABS) has attracted the attention of
cellular service providers to enable emergency communications. However, the unplanned …
cellular service providers to enable emergency communications. However, the unplanned …
Markov decision process based design of SWIPT systems: Non-linear EH circuits, memory, and impedance mismatch
N Shanin, L Cottatellucci… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study simultaneous wireless information and power transfer (SWIPT)
systems employing practical non-linear energy harvester (EH) circuits. Since the voltage …
systems employing practical non-linear energy harvester (EH) circuits. Since the voltage …
Q-learning-based power allocation for secure wireless communication in UAV-aided relay network
SI Alnagar, AM Salhab, SA Zummo - IEEE Access, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-aided wireless relay networks are at risk of eavesdropping
activities due to their open nature. In this paper, we study the security of a UAV-aided …
activities due to their open nature. In this paper, we study the security of a UAV-aided …
Cooperative resource allocation based on soft actor–critic with data augmentation in cellular network
This letter investigates the cooperative resource allocation of cellular networks with
simultaneous wireless information and power transfer in the time-varying channel …
simultaneous wireless information and power transfer in the time-varying channel …
Multiplexing eMBB and URLLC in wireless powered communication networks: A deep reinforcement learning-based approach
X Jiang, K Liang, X Chu, C Li… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
This letter investigates the multiplexing of enhanced mobile broadband (eMBB) and ultra-
reliable low-latency communications (URLLC) services in a wireless powered …
reliable low-latency communications (URLLC) services in a wireless powered …
EBi2ER Protocol for Self-Sustainable UAV-Assisted Wireless Networks
RS Kurmvanshi, G Prasad, W Arif - IEEE Communications …, 2023 - ieeexplore.ieee.org
This letter proposes the energy borrowing assisted integrated information and energy
relaying (EBi2ER) protocol for wireless powered communication. The EBi2ER protocol …
relaying (EBi2ER) protocol for wireless powered communication. The EBi2ER protocol …
Resource allocation for heterogeneous computing tasks in wirelessly powered MEC-enabled IIoT systems
Y Hu, X Deng, C Zhu, X Chen, L Chi - ACM Transactions on …, 2023 - dl.acm.org
Integrating wireless power transfer with mobile edge computing (MEC) has become a
powerful solution for increasingly complicated and dynamic industrial Internet of Things …
powerful solution for increasingly complicated and dynamic industrial Internet of Things …