Edge artificial intelligence for 6G: Vision, enabling technologies, and applications
KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …
wireless networks. It has been envisioned that 6G will be transformative and will …
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …
increasingly appealing to exploit distributed data communication and learning. Specifically …
Federated learning via over-the-air computation
The stringent requirements for low-latency and privacy of the emerging high-stake
applications with intelligent devices such as drones and smart vehicles make the cloud …
applications with intelligent devices such as drones and smart vehicles make the cloud …
A survey of energy-efficient techniques for 5G networks and challenges ahead
After about a decade of intense research, spurred by both economic and operational
considerations, and by environmental concerns, energy efficiency has now become a key …
considerations, and by environmental concerns, energy efficiency has now become a key …
Federated learning via intelligent reflecting surface
Over-the-air computation (AirComp) based federated learning (FL) is capable of achieving
fast model aggregation by exploiting the waveform superposition property of multiple-access …
fast model aggregation by exploiting the waveform superposition property of multiple-access …
Joint power allocation and load balancing optimization for energy-efficient cell-free massive MIMO networks
T Van Chien, E Björnson… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Large-scale distributed antenna systems with many access points (APs) that serve the users
by coherent joint transmission is being considered for 5G-and-beyond networks. The …
by coherent joint transmission is being considered for 5G-and-beyond networks. The …
Energy and time efficient task offloading and resource allocation on the generic IoT-fog-cloud architecture
H Sun, H Yu, G Fan, L Chen - Peer-to-Peer Networking and Applications, 2020 - Springer
With the exponential increase in the number of IoT devices and the amount of emitted data
from these devices, it is expensive and inefficient to offload all tasks to the remote data …
from these devices, it is expensive and inefficient to offload all tasks to the remote data …
Survey of strategies for switching off base stations in heterogeneous networks for greener 5G systems
F Han, S Zhao, L Zhang, J Wu - IEEE Access, 2016 - ieeexplore.ieee.org
For heterogeneous network, which has been viewed as one pioneering technology for
making cellular networks be evolved into 5G systems, reducing energy consumption by …
making cellular networks be evolved into 5G systems, reducing energy consumption by …
Joint millimeter-wave fronthaul and OFDMA resource allocation in ultra-dense CRAN
RG Stephen, R Zhang - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
Ultra-dense (UD) wireless networks and cloud radio access networks (CRAN) are two
promising network architectures for the emerging fifth-generation wireless communication …
promising network architectures for the emerging fifth-generation wireless communication …
Energy-efficient resource allocation for latency-sensitive mobile edge computing
Resource allocation algorithms are conceived for minimizing the energy consumption of
multiuser mobile edge computing (MEC) systems operating in the face of interference …
multiuser mobile edge computing (MEC) systems operating in the face of interference …