Soft Cache Hits: Improving Performance Through Recommendation and Delivery of Related Content

Sermpezis, Pavlos; Giannakas, Theodoros; Spyropoulos, Thrasyvoulos; Vigneri, Luigi

doi:10.1109/jsac.2018.2844983

Cited by 112 publications

(123 citation statements)

References 33 publications

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“…Nevertheless, new security protocols have been proposed to enable the MNOs to perform caching on encrypted requests as discussed in [37]. On the other hand, there is a recent trend of the convergence in managing cache by MNOs and CPs [38]. User preference can be learned by a CP and then shared with a MNO.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Caching at Base Stations With Heterogeneous User Demands and Spatial Locality

Liu

Yang

2019

IEEE Trans. Commun.

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Existing proactive caching policies are designed by assuming that all users request contents with identical activity level at uniformly-distributed or known locations, among which most of the policies are optimized by assuming that user preference is identical to content popularity. However, these assumptions are not true based on recent data analysis. In this paper, we investigate what happens without these assumptions. To this end, we establish a framework to optimize caching policy for base stations exploiting heterogeneous user preference, activity level, and spatial locality. We derive success probability and average rate of each user as utility function, respectively, and obtain the optimal caching policy maximizing a weighted sum of average utility (reflecting network performance) and minimal utility of users (reflecting user fairness). To investigate the intertwined impact of individual user request behavior on caching, we provide an algorithm to synthesize user preference from given content popularity and activity level with controlled preference similarity, and validate the algorithm with real datasets. Analysis and simulation results show that exploiting individual user behavior can improve both network performance and user fairness, and the gain increases with the skewness of spatial locality, and the heterogeneity of user preference and activity level.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Caching at Base Stations With Heterogeneous User Demands and Spatial Locality

Liu

Yang

2019

IEEE Trans. Commun.

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“…As ICNT and JCNT schemes do not exploit encoding of 360 o video into tiles and layers, these schemes would be heavily penalized if a viewport were not cached in the SBSs caches as data chunks of large size would not be delivered on time through the backhaul. Thus, for the sake of fairness, we allow soft satisfaction of users' demands [41] for these two schemes. Specifically, when a viewport of a video requested by a user is not cached in an SBS, but another overlapping viewport of this video is cached, we assume that the cached viewport is delivered to the user.…”

Section: A Simulation Setupmentioning

confidence: 99%

Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks

Maniotis

Bourtsoulatze

Thomos

2020

IEEE Trans. Multimedia

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The recent surge of applications involving the use of 360 o video challenges mobile networks infrastructure, as 360 o video files are of significant size, and current delivery and edge caching architectures are unable to guarantee their timely delivery. In this paper, we investigate the problem of joint collaborative content-aware caching and delivery of 360 o videos in a video on demand setting. The proposed scheme takes advantage of 360 o video encoding in multiple tiles and layers to make fine-grained decisions regarding which tiles to cache in each Small Base Station (SBS), and where to deliver them from to the end users, as users may reside in the coverage area of multiple SBSs. This permits to cache the most popular tiles in the SBSs, while the remaining tiles may be obtained through the backhaul. In addition, we explicitly consider the time delivery constraints to ensure continuous video playback. To reduce the computational complexity of the optimization problem, we simplify it by introducing a fairness constraint. This allows us to split the original problem into subproblems corresponding to Groups of Pictures (GOP). Each of the subproblems is then solved with the method of Lagrange partial relaxation. Finally, we evaluate the performance of the proposed method for various system parameters and compare it with schemes that do not consider 360 o video encoding into multiple tiles and quality layers, as well as with two variants of the proposed method: one that considers layered encoding and SBSs collaboration and another that uses tiles encoding but with no SBSs collaboration. The results showcase the benefits coming from caching and delivery decisions on per tile basis and the importance of exploiting SBSs collaboration.Index Terms-Collaborative caching, 360 o video, tile encoding, layered video, distortion optimization.

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“…• Random caching: All eRRHs randomly cache the files with equal probabilities regardless of the popularity distribution of those contents [5]. • Most popular caching: Each eRRH caches the most popular files until its memory space is full.…”

Section: Cache Placementmentioning

confidence: 99%

Cache-Enabled Coordinated Mobile Edge Network: Opportunities and Challenges

Huang

Wang

et al. 2020

IEEE Wireless Commun.

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Cache-enabled coordinated mobile edge network is an emerging network architecture, wherein serving nodes located at the network edge have the capabilities of baseband signal processing and caching files at their local cache. The main goals of such an emerging network architecture are to alleviate the burden on fronthaul links, while achieving low-latency high rate content delivery, say on the order of the millisecond level end-to-end content delivery latency. Consequently, the application of delaysensitive and content-aware has been executed in close proximity to end users. In this article, an outlook of research directions, challenges, and opportunities is provided and discussed in depth. We first introduce the cache-enabled coordinated mobile edge network architecture, and then discuss the key technical challenges and opening research issues that need to be addressed for this architecture. Then, to reduce the delivery latency and the burden on fronthaul links, new cache-enabled physical layer transmission schemes are discussed. Finally, artificial intelligence based cache-enabled communications are discussed as future research directions. Numerical studies show that several gains are achieved by caching popular content at the network edge with proper coordinated transmission schemes.

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Soft Cache Hits: Improving Performance Through Recommendation and Delivery of Related Content

Cited by 112 publications

References 33 publications

Caching at Base Stations With Heterogeneous User Demands and Spatial Locality

Caching at Base Stations With Heterogeneous User Demands and Spatial Locality

Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks

Cache-Enabled Coordinated Mobile Edge Network: Opportunities and Challenges

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