A Cache Optimization Method for D2D Auxiliary Data Offloading

Abstract

The invention provides a caching optimization method for D2D auxiliary data unloading. Calculate the probability model for assisting users to choose the D2D mode for communication through the link quality, and push the content to assisting users with higher D2D communication probability; obtain the user preference model through the Zipf distribution, and cache the content that the user is more interested in in the cache space Under the constraint of a limited number, optimize the caching method to assist users to obtain a model that maximizes the cache hit probability of the entire system, and design the GREEDY‑I algorithm to solve the model. The present invention determines the probability of assisting the user to perform D2D communication according to the mode selection of the assisting user, determines the probability that the requesting user is interested in each content according to the preference model of the requesting user, optimizes the caching method of the assisting user, and makes the neighbor requesting the user more interested The content is cached in the assisting user equipment with a higher D2D communication probability, so as to maximize the cache hit probability and improve the overall throughput of the system.

Description

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

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

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