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Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
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 …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Adaptive edge association for wireless digital twin networks in 6G
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
Artificial intelligence for wireless caching: Schemes, performance, and challenges
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
Deep reinforcement learning for adaptive caching in hierarchical content delivery networks
Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …
cellular networks, and Internet architectures. By smartly storing the most popular contents at …
AI-driven UAV-NOMA-MEC in next generation wireless networks
Driven by the unprecedented high throughput and low latency requirements anticipated for
next generation wireless networks, this article introduces an artificial intelligence (AI) …
next generation wireless networks, this article introduces an artificial intelligence (AI) …
A contract-theory-based incentive mechanism for UAV-enabled VR-based services in 5G and beyond
The proliferation of novel infotainment services, such as virtual reality (VR)-based services,
has fundamentally changed the existing mobile networks. These bandwidth-hungry services …
has fundamentally changed the existing mobile networks. These bandwidth-hungry services …
A survey on reinforcement learning-aided caching in heterogeneous mobile edge networks
Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …
the massive number of coexisting users and devices. An efficient technique to alleviate this …
Cocktail edge caching: Ride dynamic trends of content popularity with ensemble learning
Edge caching will play a critical role in facilitating the emerging content-rich applications.
However, it faces many new challenges, in particular, the highly dynamic content popularity …
However, it faces many new challenges, in particular, the highly dynamic content popularity …
Multi-agent reinforcement learning for cooperative edge caching in internet of vehicles
Edge caching has been emerged as a promising solution to alleviate the redundant traffic
and the content access latency in the future Internet of Vehicles (IoVs). Several …
and the content access latency in the future Internet of Vehicles (IoVs). Several …
Optimistic no-regret algorithms for discrete caching
We take a systematic look at the problem of storing whole files in a cache with limited
capacity in the context of optimistic learning, where the caching policy has access to a …
capacity in the context of optimistic learning, where the caching policy has access to a …