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Entropy 2018, 20(1), 64; https://doi.org/10.3390/e20010064

Joint Content Recommendation and Delivery in Mobile Wireless Networks with Outage Management

1
School of Information Science and Technology, Xiamen University, Xiamen 361005, China
2
Key Lab of Underwater Acoustic Communication and Marine Information, Ministry of Education, Xiamen University, Xiamen 361005, China
*
Author to whom correspondence should be addressed.
Received: 6 November 2017 / Revised: 29 December 2017 / Accepted: 10 January 2018 / Published: 15 January 2018
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Abstract

Personalized content retrieval service has become a major information service that consumes a large portion of mobile Internet traffic. Joint content recommendation and delivery is a promising design philosophy that could effectively improve the overall user experience with personalized content retrieval services. Existing research mostly focused on a push-type design paradigm called proactive caching, which, however, has multiple inherent drawbacks such as high device cost and low energy efficiency. This paper proposes a novel, interactive joint content recommendation and delivery system as an alternative to overcome the drawbacks of proactive caching systems. We present several optimal and heuristic algorithms for the proposed system and analyze the system performance in terms of user interest and transmission outage probability. Some theoretical performance bounds of the system are also derived. The effectiveness of the proposed system and algorithms is validated by simulation results. View Full-Text
Keywords: content recommendation; content delivery; outage probability; radio resource allocation content recommendation; content delivery; outage probability; radio resource allocation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Li, Y.; Chen, L.; Shi, H.; Hong, X.; Shi, J. Joint Content Recommendation and Delivery in Mobile Wireless Networks with Outage Management. Entropy 2018, 20, 64.

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