A survey of information cascade analysis: Models, predictions, and recent advances

F Zhou, X Xu, G Trajcevski, K Zhang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …

On mobile edge caching

J Yao, T Han, N Ansari - IEEE Communications Surveys & …, 2019 - ieeexplore.ieee.org
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 …

Joint optimization of caching, computing, and radio resources for fog-enabled IoT using natural actor–critic deep reinforcement learning

Y Wei, FR Yu, M Song, Z Han - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The cloud-based Internet of Things (IoT) develops rapidly but suffer from large latency and
backhaul bandwidth requirement, the technology of fog computing and caching has …

Caching at the wireless edge: design aspects, challenges, and future directions

D Liu, B Chen, C Yang… - IEEE Communications …, 2016 - ieeexplore.ieee.org
Caching at the wireless edge is a promising way to boost spectral efficiency and reduce
energy consumption of wireless systems. These improvements are rooted in the fact that …

The role of caching in future communication systems and networks

GS Paschos, G Iosifidis, M Tao… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
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 …

Deep-reinforcement-learning-based optimization for cache-enabled opportunistic interference alignment wireless networks

Y He, Z Zhang, FR Yu, N Zhao, H Yin… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Both caching and interference alignment (IA) are promising techniques for next-generation
wireless networks. Nevertheless, most of the existing works on cache-enabled IA wireless …

Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey

J Shuja, K Bilal, W Alasmary, H Sinky… - Journal of Network and …, 2021 - Elsevier
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …

Video caching, analytics, and delivery at the wireless edge: A survey and future directions

B Jedari, G Premsankar, G Illahi… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet
connectivity to meet the requirements of different applications, ranging from virtual reality to …

[HTML][HTML] A survey on deploying mobile deep learning applications: A systemic and technical perspective

Y Wang, J Wang, W Zhang, Y Zhan, S Guo… - Digital Communications …, 2022 - Elsevier
With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Deephawkes: Bridging the gap between prediction and understanding of information cascades

Q Cao, H Shen, K Cen, W Ouyang… - Proceedings of the 2017 …, 2017 - dl.acm.org
Online social media remarkably facilitates the production and delivery of information,
intensifying the competition among vast information for users' attention and highlighting the …