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Recently, wireless caching techniques have been studied to satisfy lowerdelay requirements and offload traffic from peak periods. By storing parts ofthe popular files at the mobile users, users can locate some of their requestedfiles in their own caches or the caches at their neighbors. In the latter case,when a user receives files from its neighbors, device-to-device (D2D)communication is enabled. D2D communication underlaid with cellular networks isalso a new paradigm for the upcoming 5G wireless systems. By allowing a pair ofadjacent D2D users to communicate directly, D2D communication can achievehigher throughput, better energy efficiency and lower traffic delay. In thiswork, we propose a very efficient caching algorithm for D2D-enabled cellularnetworks to minimize the average transmission delay. Instead of searching overall possible solutions, our algorithm finds out the best <file,user> pairs,which provide the best delay improvement in each loop to form a caching policywith very low transmission delay and high throughput. This algorithm is alsoextended to address a more general scenario, in which the distributions offading coefficients and values of system parameters potentially change overtime. Via numerical results, the superiority of the proposed algorithm isverified by comparing it with a naive algorithm, in which all users simplycache their favorite files.

A Delay-Aware Caching Algorithm for Wireless D2D Caching Networks