Energy-efficiency optimization for D2D communications underlaying UAV-assisted industrial IoT networks with SWIPT

Z Su, W Feng, J Tang, Z Chen, Y Fu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has been viewed as a typical application for the fifth
generation (5G) mobile networks. This article investigates the energy efficiency (EE) …

Amalgamation of blockchain and sixth‐generation‐envisioned responsive edge orchestration in future cellular vehicle‐to‐anything ecosystems: Opportunities and …

P Bhattacharya, U Bodkhe, M Zuhair… - Transactions on …, 2024 - Wiley Online Library
In modern decentralized cellular‐vehicle‐to‐anything (C‐V2X) infrastructures, connected
autonomous smart vehicles (CASVs) exchange vehicular information with peer CASVs. To …

Resource allocation for uplink NOMA-based D2D communication in energy harvesting scenario: A two-stage game approach

R Li, P Hong, K Xue, M Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Energy harvesting (EH) endows device-to-device (D2D) communication and cellular
equipment with the ability of continuous communication to provide internet-of-things (IoT) …

Resource Allocation for Secure SWIPT-Enabled D2D Communications With Fairness

Y Xu, B Gu, D Li, Z Yang, C Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Device-to-device (D2D) communication is an emerging paradigm that can improve system
capacity and spectral efficiency by using cooperative communication coexisting with cellular …

Experience-driven power allocation using multi-agent deep reinforcement learning for millimeter-wave high-speed railway systems

J Xu, B Ai - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Railway is stepping into the field of smart railway. Unfortunately, the challenge of obtaining
accurate instantaneous channel state information in high-speed railway (HSR) scenario …

[HTML][HTML] Radio resource management in energy harvesting cooperative cognitive UAV assisted IoT networks: A multi-objective approach

MR Ramzan, M Naeem, O Chughtai, W Ejaz… - Digital Communications …, 2023 - Elsevier
Cooperative communication through energy harvested relays in Cognitive Internet of things
(CIoT) has been envisioned as a promising solution to support massive connectivity of …

Energy-efficient SWIPT-empowered D2D mode selection

J Huang, J Cui, CC Xing… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
While mode selection has been envisioned as the most cost-effective way to address the
interference issue in Device-to-Device (D2D) communications, existing works have been …

Imitation-learning-enabled vehicular edge computing: Toward online task scheduling

L Nie, X Wang, W Sun, Y Li, S Li, P Zhang - IEEE network, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a promising paradigm to enable information sharing and
acquisition among vehicles. Since information freshness has significantly influence on task …

A Decade Review of Device-to-Device Communication in mm-Wave Network: Challenges and Solutions

SS Sarma, R Hazra - Wireless Personal Communications, 2024 - Springer
Abstract Device-to-Device (D2D) communication paves the way for satisfying the insatiable
urge for higher data rate and bandwidth with ultra low latency while maintaining the quality …

Balancing fairness and energy efficiency in SWIPT-based D2D networks: Deep reinforcement learning based approach

EJ Han, M Sengly, JR Lee - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, we propose a method to balance between user fairness and energy efficiency
of users in the context of simultaneous wireless information and power transfer (SWIPT) …