Research On D2D Caching In Wireless Networks

With the rapid development of the Internet,the number of mobile network users has increased,users have higher and higher requirements for wireless networks,and the demand has become larger and larger.This has made caching technology a research hotspot for network congestion relief.However,how to cooperative cache among multiple users in a D2 D communication network,how to use the social relationships between users in a social network to find the best cache user has become a research focus in researching D2 D cache.The existing cache strategies are mainly caches at base stations or macro base stations,and few literatures study single-user or multi-user cooperative caches.Therefore,this paper mainly focuses on this issue,using the proposed delay-based algorithm to study the D2 D caching in social networks for multi-user cooperative caching in D2 D communication networks and using an extended Student Admission(SA)algorithm based on marital matching theory,improved network congestion.The main contents are as follows:First,in the D2 D communication network,a delay-based caching algorithm is proposed.By analyzing the user's average transmission delay and using the introduced fuzzy mathematical model,the user is prioritized and the sum of the average delays of the system users is obtained.Using the proposed caching algorithm,the sum of user average delays is optimized and network performance is improved.Secondly,in the social network,a SA-based caching algorithm is proposed.According to the user's activity to find the suspected center user,then use the social layer relationship and the physical layer relationship between users,apply the improved SA algorithm,find the optimal stable matching between the center user and the rest of the user,so as to find the optimal resource cache Location,effectively improve the network throughput and at the same time ensure the quality of service.Finally,the simulation of the delay-based D2 D caching algorithm in the wireless network and the social network based D2 D caching algorithm are performed and the experimental data is compared and analyzed.