Nonlinear Energy-Harvesting for D2D Networks Underlaying UAV with SWIPT Using MADQN

MA Ouamri, G Barb, D Singh… - IEEE …, 2023 - ieeexplore.ieee.org
Energy Efficiency (EE) has become an essential metric in Device-to-Device (D2D)
communication underlaying Unmanned Aerial Vehicles (UAVs) Among the several …

Joint Data Transmission and Energy Harvesting for MISO Downlink Transmission Coordination in Wireless IoT Networks

JS Liu, CH Lin, YC Hu, PK Donta - Sensors, 2023 - mdpi.com
The advent of simultaneous wireless information and power (SWIPT) has been regarded as
a promising technique to provide power supplies for an energy sustainable Internet of …

Intelligent cloud-edge collaborations assisted energy-efficient power control in heterogeneous networks

L Zhang, J Peng, J Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We consider a typical heterogeneous network (HetNet), which consists of a macro base
station (BS) and multiple small BSs sharing the same spectrum band. Since the spectrum …

Deep Reinforcement Learning Enhanced Rate-Splitting Multiple Access for Interference Mitigation

ON Irkicatal, ET Ceran, M Yuksel - arXiv preprint arXiv:2403.05974, 2024 - arxiv.org
This study explores the application of the rate-splitting multiple access (RSMA) technique,
vital for interference mitigation in modern communication systems. It investigates the use of …

Multi-agent deep reinforcement learning based resource management in SWIPT enabled cellular networks with H2H/M2M co-existence

X Li, X Wei, S Chen, L Sun - Ad Hoc Networks, 2023 - Elsevier
Abstract Machine-to-Machine (M2M) communication is crucial in developing Internet of
Things (IoT). As it is well known that cellular networks have been considered as the primary …

Drop Maslow's Hammer or not: machine learning for resource management in D2D communications

J Huang, CC Xing, S Gu, E Baker - ACM SIGAPP Applied Computing …, 2022 - dl.acm.org
There is an old saying in America (aka" Maslow's Hammer")" If all you have is a hammer,
then every problem you see looks like a nail." While the techniques of machine learning …

Interference Avoidance in Cognitive Radio Networks Using Cooperative Localization

M Farooq-i-Azam, Q Ni, M Dong, H Pervaiz… - IEEE Systems …, 2022 - ieeexplore.ieee.org
In the recent years, there has been a tremendous increase in the use of wireless medium
and radio frequency spectrum due to the development of new types of wireless networks …

Research on The SWIPT System Throughput Based on Interference Signal Energy Collecting.

J Li, H Jiang - KSII Transactions on Internet & Information …, 2023 - search.ebscohost.com
The general interference is the imperative trouble for simultaneous wireless information and
power transfer (SWIPT) system. Although interference has bad influences on the …

Applications of Deep Learning Algorithms for RFEH, WPT and SWIPT Systems: A Review

D Sarkar, A Kumar, T Khan… - 2023 XXXVth General …, 2023 - ieeexplore.ieee.org
Deep learning (DL) has gained vast popularity in the research community in the recent
years. The implementation of various DL algorithms in Radio-frequency energy harvesting …

RATE SPLITTING FOR INTERFERENCE CHANNELS WITH DEEP REINFORCEMENT LEARNING

ON Irkıçatal - 2024 - open.metu.edu.tr
In recent advancements within communication systems, the rate-splitting multiple access
(RSMA) technique has emerged as a crucial strategy to address interference, a persistent …