Abstract
Cost-effective delivery of massive data content is a pressing challenge facing modern mobile communication networks. In the literature, two primary approaches to tackle this challenge are service-tier differentiation and personalized proactive content caching. However, these two approaches have not been integrated and studied in a unified framework. This paper proposes an integrated proactive content delivery scheme that jointly exploits the availability of multiple service tiers and multi-user behavior prediction. Three optimal algorithms and one heuristic algorithm are introduced to solve the cost-minimization problems of multi-user proactive content delivery under different modelling assumptions. The performance of the proposed scheme is systematically investigated to reveal the impacts of proactive window size, service-tier price ratio, and traffic cost model on the system performance.
Highlights
The rapid proliferation of smart phones and mobile Internet has driven an explosive growth of mobile data traffic demand
The scaling constants in the linear and quadratic cost models are given by k l = 2 and k q = 0.005, respectively
This paper proposes a personalized proactive content delivery (PCD) scheme that aims to minimize the total cost of content delivery by means of multiple service‐tier transmission and multi‐user behavior prediction
Summary
The rapid proliferation of smart phones and mobile Internet has driven an explosive growth of mobile data traffic demand. The service tiers and prices are allowed to be changed flexibly, such that the network utilization can be improved via market dynamics Within this category, time-based data pricing schemes [23,24,25,26,27,28,29,30] (i.e., different traffic pricing during different hours in a day) are designed to attract users through special discounts in off-peak hours. We propose a proactive content delivery scheme with service-tier awareness and user behavior prediction for the purpose of cost we derive the optimal content delivery policy that can minimize the long‐term cost. The performances of the proposed schemes are generalized scheme of multi-time-slot proactive content delivery, we propose a near-optimal heuristic systematically evaluated to reveal key insights into the impacts of various system parameters on the algorithm for cost reduction.
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