Toward interconnected virtual reality: Opportunities, challenges, and enablers
Just recently, the concept of augmented and virtual reality (AR/VR) over wireless has taken
the entire 5G ecosystem by storm, spurring an unprecedented interest from academia …
the entire 5G ecosystem by storm, spurring an unprecedented interest from academia …
On mobile edge caching
With the widespread adoption of various mobile applications, the amount of traffic in wireless
networks is growing at an exponential rate, which exerts a great burden on mobile core …
networks is growing at an exponential rate, which exerts a great burden on mobile core …
The role of caching in future communication systems and networks
This paper has the following ambitious goal: to convince the reader that content caching is
an exciting research topic for the future communication systems and networks. Caching has …
an exciting research topic for the future communication systems and networks. Caching has …
Optimal and scalable caching for 5G using reinforcement learning of space-time popularities
A Sadeghi, F Sheikholeslami… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Small basestations (SBs) equipped with caching units have potential to handle the
unprecedented demand growth in heterogeneous networks. Through low-rate, backhaul …
unprecedented demand growth in heterogeneous networks. Through low-rate, backhaul …
Wireless caching: Technical misconceptions and business barriers
Caching is a hot research topic and poised to develop into a key technology for the
upcoming 5G wireless networks. However, the successful implementation of caching …
upcoming 5G wireless networks. However, the successful implementation of caching …
A deep reinforcement learning-based framework for content caching
Content caching at the edge nodes is a promising technique to reduce the data traffic in next-
generation wireless networks. Inspired by the success of Deep Reinforcement Learning …
generation wireless networks. Inspired by the success of Deep Reinforcement Learning …
Deep reinforcement learning-based edge caching in wireless networks
With the purpose to offload data traffic in wireless networks, content caching techniques
have recently been studied intensively. Using these techniques and caching a portion of the …
have recently been studied intensively. Using these techniques and caching a portion of the …
Deep reinforcement learning for mobile edge caching: Review, new features, and open issues
Mobile edge caching is a promising technique to reduce network traffic and improve the
quality of experience of mobile users. However, mobile edge caching is a challenging …
quality of experience of mobile users. However, mobile edge caching is a challenging …
Caching transient data for Internet of Things: A deep reinforcement learning approach
Connected devices in Internet-of-Things (IoT) continuously generate enormous amount of
data, which is transient and would be requested by IoT application users, such as …
data, which is transient and would be requested by IoT application users, such as …
Understanding performance of edge content caching for mobile video streaming
Today's Internet has witnessed an increase in the popularity of mobile video streaming,
which is expected to exceed 3/4 of the global mobile data traffic by 2019. To satisfy the …
which is expected to exceed 3/4 of the global mobile data traffic by 2019. To satisfy the …