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Consider a device-to-device (D2D) fog-radio access network wherein a set ofdevices are required to store a set of files. Each device is connected to asubset of the cloud data centers and thus possesses a subset of the data. Thispaper investigates the problem of disseminating all files among the deviceswhile reducing the total time of communication, i.e., the completion time,using instantly decodable network coding (IDNC). While previous studies on theuse of IDNC in D2D systems assume a fully connected communication network, thispaper tackles the more realistic scenario of a partially connected network inwhich devices can only target devices in their transmission range. The paperfirst formulates the optimal joint optimization of selecting the transmittingdevice(s) and the file combination(s) and exhibits its intractability. Thecompletion time is approximated using the celebrated decoding delay approach byderiving the relationship between the quantities in a partially connectednetwork. The paper introduces the cooperation graph and demonstrates that therelaxed problem is equivalent to a maximum weight clique problem over the newlydesigned graph wherein the weights are obtained by solving a similar problem onthe local IDNC graphs. Extensive simulations reveal that the proposed solutionprovides noticeable performance enhancement and outperforms previously proposedIDNC-based schemes.

Data Dissemination using Instantly Decodable Binary Codes in Fog-Radio Access Networks