Results 91 to 100 of about 330,823 (217)
A Reinforcement-Learning Approach to Proactive Caching in Wireless Networks [PDF]
We consider a mobile user accessing contents in a dynamic environment, where new contents are generated over time (by the user's contacts), and remain relevant to the user for random lifetimes. The user, equipped with a finite-capacity cache memory, randomly accesses the system, and requests all the relevant contents at the time of access.
Samuel O. Somuyiwa +2 more
openaire +5 more sources
Coded Caching for a Large Number Of Users
Information theoretic analysis of a coded caching system is considered, in which a server with a database of N equal-size files, each F bits long, serves K users.
Amiri, Mohammad Mohammadi +2 more
core +1 more source
Design of a Digital Twin System for Deepwater Installation Systems
A digital twin‐based system is proposed to enhance the safety and efficiency of deepwater subsea installation by enabling real‐time monitoring, predictive analysis and intelligent decision‐making. The system integrates simulation, sensing and VR interaction to support planning and operations in complex offshore environments.
Song Chen +6 more
wiley +1 more source
Proactive Caching Placement for Arbitrary Topology With Multi-Hop Forwarding in ICN
With the rapid growth of network traffic and the enhancement of the quality of experiences of users, Information-Centric Networking (ICN), which is a content-centric network architecture with named data caching and routing, is proposed to improve the ...
Siyang Shan +3 more
doaj +1 more source
Proactive Caching for Spatial Queries in Mobile Environments
Semantic caching enables mobile clients to answer spatial queries locally by storing the query descriptions together with the results. However, it supports only a limited number of query types, and sharing results among these types is difficult. To address these issues, we propose a proactive caching model which caches the result objects as well as the
HU, Haibo +5 more
openaire +3 more sources
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar +2 more
wiley +1 more source
This paper introduces an innovative predictive caching strategy tailored to a real-world dataset, specifically the Facebook video dataset. Making caching decisions for the dataset is challenging due to its dynamic nature, where users’ content ...
Javane Rostampoor +3 more
doaj +1 more source
Caching at the edge of wireless networks is a promising means of alleviating the heavy burden of backhaul links and reducing the latency of transmission and handover in a cloud radio access network (C-RAN).
Jianmei Dai, Zhilong Zhang, Danpu Liu
doaj +1 more source
Network Coding-Based Socially-Aware Caching Strategy in D2D
By caching the most popular content into mobile devices, users can retrieve content directly from nearby devices through Device to Device (D2D) communications, which can significantly reduce backhaul traffic and improve network performance. Most existing
Jun Cai +4 more
doaj +1 more source
A Bayesian Poisson-Gaussian Process Model for Popularity Learning in Edge-Caching Networks [PDF]
Edge-caching is recognized as an efficient technique for future cellular networks to improve network capacity and user-perceived quality of experience.
Chatzinotas, Symeon +3 more
core +1 more source

