A joint scheduling and content caching scheme for energy harvesting access points with multicast
- Authors
- Dong, L.[Dong, L.]; Niyato, D.[Niyato, D.]; Kim, D.I.[Kim, D.I.]; Hoang, D.T.[Hoang, D.T.]
- Issue Date
- 2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, v.2018-January, pp.1 - 6
- Journal Title
- 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
- Volume
- 2018-January
- Start Page
- 1
- End Page
- 6
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/24453
- DOI
- 10.1109/GLOCOM.2017.8254191
- ISSN
- 0000-0000
- Abstract
- In this work, we investigate a system where users are served by an access point that is equipped with energy harvesting and caching mechanism. Focusing on the design of an efficient content delivery scheduling, we propose a joint scheduling and caching scheme. The scheduling problem is formulated as a Markov decision process and solved by an on-line learning algorithm. To deal with large state space, we apply the linear approximation method to the state-Action value functions, which significantly reduces the memory space for storing the function values. In addition, the preference learning is incorporated to speed up the convergence when dealing with the requests from users that have obvious content preferences. Simulation results confirm that the proposed scheme outperforms the baseline scheme in terms of convergence and system throughput, especially when the personal preference is concentrated to one or two contents. © 2017 IEEE.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.