A survey on mobile edge computing: The communication perspective
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
Resource allocation for ultra-dense networks: A survey, some research issues and challenges
Driven by the explosive data traffic and new quality of service requirement of mobile users,
the communication industry has been experiencing a new evolution by means of network …
the communication industry has been experiencing a new evolution by means of network …
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 …
Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis
Deep learning has recently emerged as a disruptive technology to solve challenging radio
resource management problems in wireless networks. However, the neural network …
resource management problems in wireless networks. However, the neural network …
[PDF][PDF] Mobile edge computing: Survey and research outlook
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards …
a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards …
Wireless-powered over-the-air computation in intelligent reflecting surface-aided IoT networks
Fast wireless data aggregation and efficient battery recharging are two critical design
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …
LORM: Learning to optimize for resource management in wireless networks with few training samples
Effective resource management plays a pivotal role in wireless networks, which,
unfortunately, typically results in challenging mixed-integer nonlinear programming (MINLP) …
unfortunately, typically results in challenging mixed-integer nonlinear programming (MINLP) …
Joint optimal software caching, computation offloading and communications resource allocation for mobile edge computing
As software may be used by multiple users, caching popular software at the wireless edge
has been considered to save computation and communications resources for mobile edge …
has been considered to save computation and communications resources for mobile edge …
A graph neural network approach for scalable wireless power control
Deep neural networks have recently emerged as a disruptive technology to solve NP-hard
wireless resource allocation problems in a real-time manner. However, the adopted neural …
wireless resource allocation problems in a real-time manner. However, the adopted neural …
Efficient downlink power allocation algorithms for cell-free massive MIMO systems
Cell-free Massive MIMO systems consist of a large number of geographically distributed
access points (APs) that serve the users by coherent joint transmission. The spectral …
access points (APs) that serve the users by coherent joint transmission. The spectral …