Cache optimization method for D2D auxiliary data unloading

Abstract

The invention provides a cache optimization method for D2D auxiliary data unloading. The method comprises steps of calculating a probability model for assisting the user to select a D2D mode for communication through the link quality, and pushing the content to the assisting user with higher D2D communication probability; obtaining a user preference model through Zipf distribution, under the constraint that the number of cache spaces is limited, optimizing a cache method for assisting a user to obtain a model for maximizing the cache hit probability of the whole system, and designing a GREEDY-I algorithm to solve the model. According to the invention, the probability of assisting the user to perform D2D communication is determined according to the mode selection of the assisting user; theprobability that the request user is interested in each content is determined according to the preference model of the request user; the cache method of the assistant user is optimized, and the content more interested by the neighbor request user is cached in the assistant user equipment with higher D2D communication probability, so that the cache hit probability is maximized, and the overall throughput of the system is improved.

Description

technical field [0001] The invention relates to a mobile edge technology, in particular to a cache optimization method for D2D auxiliary data offloading. Background technique [0002] In recent years, with the popularity of wireless devices such as smartphones and laptops, mobile users have increased demand for online applications (e.g., video services, web browsing, and social networking, etc.), a phenomenon that has led to mobile data traffic exponential growth. Bring network congestion and huge traffic load to mobile network operators. In order to solve the problem of backhaul congestion, mobile edge caching technology has been proposed. There are various caching locations in the mobile edge network (Mobile Edge Network), such as Small base stations, WiFi access points and user equipment. In recent years, with the development of D2D (Device-to-Device) communication technology, adjacent mobile users can bypass the cellular base station (Base Station, BS) and directly esta...

AI Technical Summary

Problems solved by technology

The first type of research proposes a cache deployment algorithm in the D2D cache network, and defines user preferences to measure the user's interest in content, and on this basis gives the definition of user interest similarity, through the cache deployment and cache Joint optimization of space allocation to maximize cache utility, but does not consider how users choose between D2D caches and cellular networks [Zhang T, Fan H, Loo J, et al. User preference aware caching deployment for device- to-device caching networks[J].IEEE Systems Journal,2017,13(1):226-237.]

The second type of research models the user's request behavior through probabilistic latent semantic analysis to predict each user's preference for content, and studies the caching optimization method in the interference-free mode, but does not consider the in-band multiplexing mode [OptimalContent Caching Policy Considering Mode Selection and User Preference under Overlay D2D Communications[C].2018 14th International Conference on MobileAd-Hoc and Sensor Networks(MSN).IEEE,2018:212-217]

[0005] (1) Most cache optimization methods only consider user preferences, and do not consider the impact of user mode selection on data unloading performance

[0006] (2) Most buffer optimization methods only consider the user mode selection in the non-interference mode, and do not consider the transmission interference caused by the in-band multiplexing mode

Images