Data downloading cost game optimization model and method based on content multiplexing

Abstract

The invention discloses a data downloading cost game optimization model and method based on content multiplexing. The model is: for users with similar service demands in a frequency spectrum market network, the users with similar service demands spontaneously form an alliance through a mechanism of reducing the data downloading costs of the users through the same content multiplexing, all data ofthe users in the alliance are collectively downloaded at first, and then are distributed in the alliance. The method is as follows: constructing an alliance game model, wherein participants are usersin all frequency spectrum markets, and the utility function of each user is the cost influence of the user on all users in the alliance after joining the alliance; joining, by each user, a new alliance, calculating the utility function brought by the new alliance, comparing the utility function with the utility function of the alliance to which the user previously belongs, and selecting the betteralliance to join based on the cooperative optimization criteria; and performing circular iteration, until the alliance selection of all users achieves convergence. According to the data downloading cost game optimization model and method disclosed by the invention, the content multiplexing is performed on the similar services of the users, thereby reducing the data downloading costs of the users.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a data download overhead game optimization model and method based on content multiplexing. Background technique [0002] How to reduce the user's data download overhead and improve system resource utilization through data multiplexing has become an important issue in the communication field. For the video content sharing scenario, someone proposed a cluster-based video content sharing method (reference Yanyao Shen, Chunxiao Jiang, Tony Q.S. Quek, Yong Ren, "Device-to-Device-Assisted Communications in Cellular Networks: An Energy Efficient Approach in Downlink Video Sharing Scenario”, IEEE Transactions on Wireless Communications, vol.15, no.2, pp.1575-1587, 2016.) to improve the system resource utilization; Coalition Formation Method for Location Prediction (reference Haibo Zhou, Bo Liu, Tom H. Luan, Fen Hou, Lin Gui, Ying Li, Quan Yu, Xuemin (Sherman) Shen, "Chain...

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Problems solved by technology

However, there are still few studies on data multiplexing, and most of the relevant research focuses on vehicle networks, focusing on content distribution efficiency, and has not studied data download overhead.

[0003] Coalition formation game (references Walid Saad, Zhu Han, Merouane Debbah, Are and Tamer Basar, "Coalitional Game Theory for Communication Networks", IEEE Signal Processing Magazine, vol.26, no.5, Sept.2009, pp.77-97.) mainly consider the scenario of user cooperation; Game (reference Lang Ruan, Xin Liu, Yuli Zhang, YuhuaXu, "Context-aware Group Buying in D2D networks: An Overlapping CoalitionFormation Game Approach", IEEE ICCT, Chengdu, pp.867-872, October, 2017.) solved A content storage problem in a distributed cache. This model takes into account the overlapping of cached content in different cache nodes, and optimizes the sharing and distribution of a single content. However, it does not consider the optimization of the overall content, which makes the alliance structure more complicated.

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