A d2d device discovery method utilizing social relations between users

Abstract

The invention discloses a D2D device discovery method utilizing social relationships between users. The method comprises the following steps: initiating, by a target user, a D2D communication requestto a base station, and calculating, by the base station, three indexes according to a stored historical record of the user and social attributes of the user after receiving the request of the target user, that is, calculating the credibility between the target user and the other users, the similarity and the centrality of each user, unifying the three principles by using an utility function, performing comparison with a preset threshold, if being greater than the set threshold, using the user as a neighbor user of the target user; and finally, feeding back, by the base station, a generated neighbor user set to the target user. According to the D2D device discovery method disclosed by the invention, the credibility between the users is evaluated by using the social relationship intensity between users, the most incredible nodes are filtered, and the security of a D2D communication link is guaranteed; and moreover, the user group having the similar fondness with the user and having higher centrality is recommended to the user, so that the communication efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the combination of social network and D2D communication field, and relates to a D2D device discovery method utilizing social relationship between users. Background technique [0002] With the popularity of smart phones and the growth of mobile data traffic, D2D communication is considered to be the key technology of the next generation mobile communication network, and it has extremely obvious gains in enhancing system capacity and spectrum utilization. As the first step to realize D2D communication, device discovery plays a very important role. Existing device discovery technologies mainly include centralized and distributed discovery methods. Under the centralized discovery method, the base station needs to know the location of each device, and then centrally schedule according to the distance between the devices to determine whether to establish a communication connection between the devices. Distributed discovery methods ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to reduce the probability of devices connecting to untrusted nodes, it is necessary to calculate the degree of trust between users and to improve the probability of users obtaining the required services, it is necessary to calculate the degree of similarity between users and each user's centrality problem

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