Long-Term Throughput Maximization in Wireless Powered Communication Networks: A Multi-Task DRL Approach

A Ahmadian, W Shin, H Park - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In this paper, we study a wirelessly-powered communication network (WPCN) composed of
several wireless devices (WDs) which rely on an energy access point (EAP) for their supply …

Exploiting a deep neural network for efficient transmit power minimization in a wireless powered communication network

I Hameed, PV Tuan, I Koo - Applied Sciences, 2020 - mdpi.com
In this paper, we propose a learning-based solution for resource allocation in a wireless
powered communication network (WPCN). We provide a study and analysis of a deep …

Throughput Maximization for Wireless Powered Communication: Reinforcement Learning Approaches

Y Li, X Su, H Jiang, CS Chen - 2021 IEEE/ACM 29th …, 2021 - ieeexplore.ieee.org
To maximize the throughput of wireless powered communication (WPC), it is critical for the
device to decide when to harvest energy, when to transmit data and what transmit power to …

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 …

Minimizing Power in Buffer-Aided SWIPT-WPRNs Using Deep Reinforcement Learning

A Ahmadian, H Park - … on Personal, Indoor and Mobile Radio …, 2023 - ieeexplore.ieee.org
In this paper, we design a network utilizing a wirelessly-powered relay (WPR) to
simultaneously receive power and information from an access point (AP) and forward the …

Reinforcement learning based adaptive resource allocation for wireless powered communication systems

JM Kang - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Wireless powered communication (WPC) is one of the promising techniques for future
energy-constrained wireless networks. In this letter, we consider a WPC system composed …

Optimization of wireless powered communication networks with heterogeneous nodes

MA Abd-Elmagid, T ElBatt… - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
This paper studies optimal resource allocation in a wireless powered communication
network with two groups of users; one is assumed to have radio frequency (RF) energy …

Multi-agent deep reinforcement learning for distributed resource management in wirelessly powered communication networks

S Hwang, H Kim, H Lee, I Lee - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
This paper studies multi-agent deep reinforcement learning (MADRL) based resource
allocation methods for multi-cell wireless powered communication networks (WPCNs) where …

Efficient, fair, and QoS-aware policies for wirelessly powered communication networks

R Rezaei, N Omidvar, M Movahednasab… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, we propose efficient wireless power transfer (WPT) policies for various
practical scenarios in wirelessly powered communication networks (WPCNs). First, we …

Joint downlink-uplink throughput optimization in wireless powered communication networks

MS Syam, YL Che, S Luo - 2019 IEEE/CIC International …, 2019 - ieeexplore.ieee.org
Wireless power transfer has attracted a great deal of attentions recently, due to its ability to
extend the lifetime of IoT devices. In this paper, a joint downlink (DL) and uplink (UL) …