Modeling and Analysis for Cache-enabled Cognitive D2D Communications in Cellular Networks

摘要

Exploiting cognition to the cache-enabled device-to-device (D2D)communication underlaying the multi-channel cellular network is the main focusof this paper. D2D pairs perform direct communications via sensing theavailable cellular channels, bypassing the base station (BS). Dynamic serviceis considered and the network performance is evaluated with the stochasticgeometry. Node locations are first modeled as mutually independent PoissonPoint Processes, and the service queueing process is formulated. Then thecorresponding tier association and cognitive access protocol are developed. Thedelay and the length for the queue at the BS and D2D transmitter are furtherelaborated, with modeling the traffic dynamics of request arrivals anddepartures as the discrete-time multiserver queue with priorities. Moreover,impacts of the physical layer and content-centric features on the systemperformance are jointly investigated to provide a valuable insight.