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In wireless caching networks, the design of the content delivery method mustconsider random user requests, caching states, network topology, andinterference management. In this paper, we establish a general framework forcontent delivery in wireless caching networks without stringent assumptionsthat restrict the network structure, delivery link, and interference model.Based on the framework, we propose a dynamic and distributed link schedulingand power allocation scheme for content delivery that is assisted bybelief-propagation (BP) algorithms. Considering content-requesting users andpotential caching nodes, the scheme achieves three critical purposes ofwireless caching networks: 1) limiting the delay of user request satisfactions,2) maintaining the power efficiency of caching nodes, and 3) managinginterference among users. In addition, we address the intrinsic problem of theBP algorithm in our network model, proposing a matching algorithm forone-to-one link scheduling. Simulation results show that the proposed schemeprovides almost the same delay performance as the optimal scheme found throughan exhaustive search at the expense of a little additional power consumptionand does not require a clustering method and orthogonal resources in alarge-scale D2D network.

Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks