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Caching of video files on user devices, combined with file exchange throughdevice-to-device (D2D) communications is a promising method for increasing thethroughput of wireless networks. Previous theoretical investigations showedthat throughput can be increased by orders of magnitude, but assumed a Zipfdistribution for modeling the popularity distribution, which was based onobservations in {\em wired} networks. Thus the question whether cache-aided D2Dvideo distribution can provide in practice the benefits promised by existingtheoretical literature remains open. To answer this question, we provide newresults specifically for popularity distributions of video requests of mobileusers. Based on an extensive real-world dataset, we adopt a generalizeddistribution, known as Mandelbrot-Zipf (MZipf) distribution. We first show thatthis popularity distribution can fit the practical data well. Using thisdistribution, we analyze the throughput--outage tradeoff of the cache-aided D2Dnetwork and show that the scaling law is identical to the case of Zipfpopularity distribution when the MZipf distribution is sufficiently skewed,implying that the benefits previously promised in the literature could indeedbe realized in practice. To support the theory, practical evaluations usingnumerical experiments are provided, and show that the cache-aided D2D canoutperform the conventional unicasting from base stations.

Throughput-Outage Analysis and Evaluation of Cache-Aided D2D Networks with Measured Popularity Distributions