Digital twin driven service self-healing with graph neural networks in 6g edge networks

P Yu, J Zhang, H Fang, W Li, L Feng… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
6G edge networks strive to offer ubiquitous intelligent services, requiring a greater emphasis
on network stability and reliability. However, current networks present a low automation …

[HTML][HTML] Towards zero-energy: Navigating the future with 6G in Cellular Internet of Things

MT Abbas, KJ Grinnemo, G Ferré, P Laurent… - Journal of Network and …, 2024 - Elsevier
Abstract The Cellular Internet of Things (CIoT) has seen significant growth in recent years.
With the deployment of 5G, it has become essential to reduce the power consumption of …

Energy efficient resource allocation for multinumerology enabled hybrid services in B5G wireless mobile networks

LH Shen, PY Wu, KT Feng - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Multi-numerology (MN) providing a flexible transmission frame structure has attracted a
considerable attention for supporting abundant services for beyond fifth-generation (B5G) …

[PDF][PDF] 基于加权二部图及贪婪策略的蜂窝网络D2D 通信资源分配

申滨, 孙万平, 张楠, 崔太平 - 电子与信息学报, 2023 - jeit.ac.cn
D2D (Device-to-Device) 通信是解决频谱资源稀缺问题的关键技术之一. 该文研究蜂窝网络中“
many-tomany” 的复杂场景, 即单个RB (Resource Block) 可以分配给多对D2D 用户重用 …

On the mathematical modeling and optimization for the energy efficiency performance of CSMA-NOMA random access networks with channel inversion

S Cao, F Hou - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The paradigm of upcoming 5G and beyond is the massive machine type communications
(mMTC), where a large number of devices automatically operate wireless communications …

Self-Organized and Distributed Green Resource Allocation for Space–Air–Ground IoT Networks

P Yu, Y Li, M Zhang, A Xiong, W Li… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
To deal with the explosion connections and data volume for emergency communication or
hot spot capacity enhancement with massive Internet of Things (IoT) devices, deploying …

Energy efficiency optimization in adaptive transmit antenna selection systems with limited feedback

T Wu, Y Zou - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
We investigate the energy efficiency (EE) of cellular downlink transmissions with limited
feedback, where the channel state information (CSI) assumed to be available at the …

On the maximum energy efficiency of random access-based OMA and NOMA in multirate environment

S Cao, F Hou - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The paradigm of the upcoming 5G and beyond is the machine type communications (MTC),
where a large number of devices automatically operate wireless communications. Due to …

Resource and delay aware fine-grained service offloading in collaborative edge computing

J Zhang, P Yu, F Zhou, L Feng, W Li, X Qiu - Computer Networks, 2022 - Elsevier
Fine-grained service offloading in collaborative edge computing can realize full use of the
limited resources of edge nodes to achieve efficient parallel computing. The existing …

Optimizing resources allocation in a heterogeneous cloud radio access network using machine learning

M Shirmohamadi, H Bakhshi… - Transactions on …, 2022 - Wiley Online Library
In this article, we propose an iterative algorithm based on lazy learning. The proposed
scheme considers two consecutive algorithms for optimal resource allocation in …