Abstract
The deployment density and computational power of small base stations (BSs) are expected to increase significantly in the next generation mobile communication networks. These BSs form the mobile edge network, which is a pervasive and distributed infrastructure that can empower a variety of edge/fog computing applications. This paper proposes a novel edge-computing application called explicit caching, which stores selective contents at BSs and exposes such contents to local users for interactive browsing and download. We formulate the explicit caching problem as a joint content recommendation, caching, and delivery problem, which aims to maximize the expected user quality-of-experience (QoE) with varying degrees of cross-layer sensing capability. Optimal and effective heuristic algorithms are presented to solve the problem. The theoretical performance bounds of the explicit caching system are derived in simplified scenarios. The impacts of cache storage space, BS backhaul capacity, cross-layer information, and user mobility on the system performance are simulated and discussed in realistic scenarios. Results suggest that, compared with conventional implicit caching schemes, explicit caching can better exploit the mobile edge network infrastructure for personalized content dissemination.
Highlights
The mobile Internet is facing great challenges in coping with ever increasing traffic demand.According to a Cisco white paper, the total amount of global mobile data traffic will reach 49 exabytes per month by 2021 [1]
It is further envisioned that the base stations (BSs) will be equipped with extra computing, sensing and caching resources [6], thereby transforming the mobile edge network from a communications-specific infrastructure to a general-purpose edge computing infrastructure [7–9]
Results show that the high SINR approximation brings very small performance penalty even when the actual average SINR is small (e.g., 3 dB). These results suggest that the proposed algorithm with the high SINR approximation is robust for practical ranges of SINR
Summary
The mobile Internet is facing great challenges in coping with ever increasing traffic demand.According to a Cisco white paper, the total amount of global mobile data traffic will reach 49 exabytes per month by 2021 [1]. The mobile Internet is facing great challenges in coping with ever increasing traffic demand. To cope with the exploding traffic demand, short-range and low-cost small base stations (BSs) will be densely deployed to scale up the capacity of the mobile communication network [2–5]. These BSs form the mobile edge network, which is a pervasive and distributed infrastructure. It is further envisioned that the BSs will be equipped with extra computing, sensing and caching resources [6], thereby transforming the mobile edge network from a communications-specific infrastructure to a general-purpose edge computing infrastructure [7–9]. It is anticipated that such a transform can empower a new wave of location-based and time-sensitive applications [10]
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