Cloud-edge-device collaborative reliable and communication-efficient digital twin for low-carbon electrical equipment management
The real-time electrical equipment management, such as renewable energy, controllable
loads, and storage units, plays a key role in low-carbon operation of smart industrial park …
loads, and storage units, plays a key role in low-carbon operation of smart industrial park …
An energy saving small cell sleeping mechanism with cell range expansion in heterogeneous networks
In recent years, the explosion of wireless data traffic has resulted in a trend of large scale
dense deployment of small cells, with which the rising cost of energy has attracted a lot of …
dense deployment of small cells, with which the rising cost of energy has attracted a lot of …
Endogenous security-aware resource management for digital twin and 6G edge intelligence integrated smart park
S Zhang, Z Yao, H Liao, Z Zhou, Y Chen… - China …, 2023 - ieeexplore.ieee.org
The integration of digital twin (DT) and 6G edge intelligence provides accurate forecasting
for distributed resources control in smart park. However, the adverse impact of model …
for distributed resources control in smart park. However, the adverse impact of model …
Interference mitigation and dynamic user association for load balancing in heterogeneous networks
N Hassan, X Fernando - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Viewing the communication system as three-dimensional (3-D) with various tiers
cooperating among each other is a new trend to present 5G heterogeneous networks …
cooperating among each other is a new trend to present 5G heterogeneous networks …
Resource allocation for SVC streaming over cooperative vehicular networks
Video streaming over vehicular networks has considerable benefits for both road safety and
entertainment. In this paper, the scalable video coding over cooperative vehicular networks …
entertainment. In this paper, the scalable video coding over cooperative vehicular networks …
Wireless access control in edge-aided disaster response: A deep reinforcement learning-based approach
The communication infrastructure is most likely to be damaged after a major disaster
occurred, which would lead to further chaos in the disaster stricken area. Modern rescue …
occurred, which would lead to further chaos in the disaster stricken area. Modern rescue …
IMeP: Impedance matching enhanced power-delivered-to-load optimization for magnetic MIMO wireless power transfer system
Recently, multiple-input multiple-output (MIMO) technology has been introduced into
magnetic resonant coupling (MRC) enabled wireless power transfer (WPT) systems for …
magnetic resonant coupling (MRC) enabled wireless power transfer (WPT) systems for …
Optimized power and cell individual offset for cellular load balancing via reinforcement learning
We consider the problem of jointly optimizing the transmission power and cell individual
offsets (CIOs) in the downlink of cellular networks using reinforcement learning. To that end …
offsets (CIOs) in the downlink of cellular networks using reinforcement learning. To that end …
Interference management based on RT/nRT traffic classification for FFR-aided small cell/macrocell heterogeneous networks
Cellular networks are constantly lagging in terms of the bandwidth needed to support the
growing high data rate demands. The system needs to efficiently allocate its frequency …
growing high data rate demands. The system needs to efficiently allocate its frequency …
Co-channel interference management using eICIC/FeICIC with coordinated scheduling for the coexistence of PS-LTE and LTE-R networks
Abstract In the Republic of Korea, a Long Term Evolution (LTE)-based public safety (PS)-
LTE network is being built using 718~ 728 MHz for uplink and 773~ 783 MHz for downlink …
LTE network is being built using 718~ 728 MHz for uplink and 773~ 783 MHz for downlink …