Abstract
To fully exploit the increasingly dense deployments of mobile base station (BS) infrastructure, this paper proposes a novel caching paradigm called explicit caching, which stores selective contents at BSs and exposes such contents to users for volunteer browsing and download. We formulate the explicit caching problem as a joint content recommendation and delivery problem, which aims to maximize the expected quality-of-experience (QoE) per user over the long term. Optimal algorithms are given to solve the problem with varying degrees of cross-layer information. The impacts of user interest profile, cache storage space, BS backhaul capacity, cross-layer information, user mobility, and user mobility prediction on the system performance are analyzed and discussed.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
