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

A technology of data download and optimization method, applied in the field of wireless communication, can solve the problems of non-data download overhead research, less data multiplexing, complex alliance structure, etc., to avoid non-convergence problems, reduce user overhead, and improve spectrum resource utilization rate effect

Active Publication Date: 2019-02-12
ARMY ENG UNIV OF PLA
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  • Abstract
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  • Claims
  • Application Information

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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.

Method used

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

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Embodiment 1

[0087] A specific embodiment of the present invention is described as follows: the system simulation adopts Matlab software, and the parameter setting does not affect the generality; N secondary users are randomly arranged in a 200m×200m network scene, and the single data download cost α d Set uniformly to 1, the communication range of all secondary users is the same and set to Radii, and the user data demand is set to l n , the user calculates the demand degree β of the corresponding data through information interaction according to the data composition of other users in the alliance ni .

[0088] The content reuse-based data download overhead game optimization method of the present invention, the specific process is as follows:

[0089] Step 1: Initialize, set the number of iterations j = 0, each user n∈N chooses a different alliance, and calculate the corresponding data download cost and utility function;

[0090] Step 2: Alliance selection strategy update (loop):

[009...

example 1

[0097] Example 1 average overhead

[0098] When the number of users changes, by figure 2 It can be seen that under different numbers of users, by comparing with the conventional Pareto optimization criterion, the proposed game optimization model and method of data download overhead based on content multiplexing can reduce user data download overhead.

example 2

[0099] Example 2 Compression Ratio

[0100] In the case of the compression ratio of the data content of the entire network, that is, the ratio between the actual transmitted data and the total demand of the entire network, other parameters remain unchanged. Depend on image 3 It can be seen that compared with the conventional Pareto optimization criterion, the proposed data download overhead game optimization model and method based on content multiplexing can further compress data and reduce data overhead.

[0101] In summary, the data download overhead game optimization model and method based on content multiplexing proposed by the present invention fully considers the similarity between user services, adopts the mode that users first form an alliance to download data, and then distribute it internally. The process is modeled by forming a game, and the potential energy game is introduced to ensure the existence and optimality of the solution, as well as the convergence of th...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/24G06Q30/02
CPCG06Q30/0202H04L41/145H04L67/06
Inventor 张玉立徐煜华徐以涛江汉陈学强张玉明
Owner ARMY ENG UNIV OF PLA
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