Optimal Target User Selection Policy for D2D Wireless Caching Networks

Abstract

Device-to-device (D2D) communication is one of the core technologies of 5 G and can mitigate the scarcity of spectrum resources for wireless communication systems because it involves direct communication from device to device. However, the instability of the network environment, the explosion in the number of users, the variability of user locations and the existence of selfish users increase the time required to search for target users and data transmission delay. In this paper, an optimal target user local search (OTULS) algorithm with blockchain technology is proposed to reduce the time delay in searching for a target user and the data transmission delay between devices. We shift the target cache users search task from the local area to the base station by the OTULS. Based on the target cache users, we search for the target user with the shortest distance from the requester at local. In addition, to avoid selecting selfish users with the shortest distance from the target cache users, we manage the users’ reputations through a blockchain. The proposed algorithm can reduce the delay in the target user search and in data transmission compared with other algorithms.