Digital twin driven service self-healing with graph neural networks in 6g edge networks
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 …
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
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 …
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
Multi-numerology (MN) providing a flexible transmission frame structure has attracted a
considerable attention for supporting abundant services for beyond fifth-generation (B5G) …
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 …
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 …
(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 …
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 …
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 …
where a large number of devices automatically operate wireless communications. Due to …
Resource and delay aware fine-grained service offloading in collaborative edge computing
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 …
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 …
scheme considers two consecutive algorithms for optimal resource allocation in …