Recent advances in cloud radio access networks: System architectures, key techniques, and open issues
As a promising paradigm to reduce both capital and operating expenditures, the cloud radio
access network (C-RAN) has been shown to provide high spectral efficiency and energy …
access network (C-RAN) has been shown to provide high spectral efficiency and energy …
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 …
Service multiplexing and revenue maximization in sliced C-RAN incorporated with URLLC and multicast eMBB
The fifth generation (5G) wireless system aims to differentiate its services based on different
application scenarios. Instead of constructing different physical networks to support each …
application scenarios. Instead of constructing different physical networks to support each …
Large-scale convex optimization for dense wireless cooperative networks
Convex optimization is a powerful tool for resource allocation and signal processing in
wireless networks. As the network density is expected to drastically increase in order to …
wireless networks. As the network density is expected to drastically increase in order to …
On the asynchrony of computation offloading in multi-user MEC systems
Mobile edge computing (MEC) can extend the computing capability of mobile users (MUs),
by offloading computational tasks from MUs to proximal MEC servers. Specifically, offloaded …
by offloading computational tasks from MUs to proximal MEC servers. Specifically, offloaded …
Reconfigurable intelligent surface assisted massive MIMO with antenna selection
Antenna selection is capable of reducing the hardware complexity of massive multiple-input
multiple-output (MIMO) networks at the cost of certain performance degradation …
multiple-output (MIMO) networks at the cost of certain performance degradation …
Energy-efficient processing and robust wireless cooperative transmission for edge inference
Edge machine learning can deliver low-latency and private artificial intelligent (AI) services
for mobile devices by leveraging computation and storage resources at the network edge …
for mobile devices by leveraging computation and storage resources at the network edge …
Learning to beamform in joint multicast and unicast transmission with imperfect CSI
With the rapid development of mobile Internet, the demand for multicast is growing rapidly,
such as content pushing and video streaming. The multicast service is usually offered to …
such as content pushing and video streaming. The multicast service is usually offered to …
Smoothed -Minimization for Green Cloud-RAN With User Admission Control
The cloud radio access network (Cloud-RAN) has recently been proposed as one of the cost-
effective and energy-efficient techniques for 5G wireless networks. By moving the signal …
effective and energy-efficient techniques for 5G wireless networks. By moving the signal …
Joint resource allocation and admission control in sliced fog radio access networks
Network slicing based fog radio access network (F-RAN) has emerged as a promising
architecture to support various novel applications in 5G-and-beyond wireless networks …
architecture to support various novel applications in 5G-and-beyond wireless networks …