Overlapping coalition game model under context awareness and spatial adaptive play algorithm

A game model, adaptive learning technology, applied in electrical components, wireless communication, network planning and other directions, can solve the problem of not considering user resource requirements, reducing forwarding overhead, not taking into account, etc., to avoid the effect of non-convergence problems

Inactive Publication Date: 2018-05-01
ARMY ENG UNIV OF PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most studies only focus on the relationship between users in different layers and the selection in the upper layer and the access point in the bottom layer, without considering the user's own resource requirements.
[0003] Coalition formation game (references Walid Saad, Zhu Han, M′erouane Debbah, Are and TamerBas, ar, "Coalitional Game Theory for CommunicationNetworks", inIEEE Signal Processing Mag., Special Issue on Game Theory, vol.26, no.5, Sept.2009, pp.77C97.) mainly consider the network under cooperation structure; Overlapping Coalition Formation Games (references Tianyu Wang, Lingyang Song, Zhu Han, and Walid Saad, “Overlapping CoalitionFormation Games for Emerging Communication Networks,” in IEEE Network, vol.30, Sept.2016, pp.46-53, and Reference Yuli Zhang, Yuhua Xu and Qihui Wu, "Group Buying Based on SocialAware in D2D Networks: A Game Theoretic Approach," 6th IEEE / CIC International Conference on Communications in China (ICCC 2017), Qingdao, China Oct.2017, accepted.) In , a game model of coalition formation based on user social relationships in D2D networks is mentioned. This model takes into account the overlapping content of different users, and after the alliance is formed, obtain these overlapping content and forward it to all required users, thereby reducing Forwarding overhead, but it does not take into account that under different content requirements, the corresponding alliance formation is also different

Method used

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  • Overlapping coalition game model under context awareness and spatial adaptive play algorithm
  • Overlapping coalition game model under context awareness and spatial adaptive play algorithm
  • Overlapping coalition game model under context awareness and spatial adaptive play algorithm

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Embodiment 1

[0081] A specific embodiment of the present invention is described as follows: the system simulation uses 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 acquisition cost of a single spectrum resource is α 0 It is uniformly set to 1, the communication range of all secondary users is the same and set to Radii, and the content overlap of all users is set to O d , the learning coefficient β is set to 3, and increases to 25 as the number of iterations increases, so that the result gradually converges from the learning detection process.

[0082] The present invention is based on the algorithm of the overlapping alliance game model of situation awareness, and the specific process is as follows:

[0083] Step 1: Initialize, set the number of iterations j = 0, each secondary user n∈N selects a different alliance, and selects a content block i as the content selected by the allianc...

example 1

[0093] Example 1 Communication distance Radii

[0094] Consider 8 secondary users, represented by Figure 4 It can be seen that under different communication distance conditions, the average spectrum acquisition cost is reduced by 13.8% compared with the proposed user content-based spatial adaptive learning (SAP) algorithm and the SAP comparison algorithm based on the user's own overlapping alliance.

example 2

[0095] Example 2 Number of secondary users (N)

[0096] Consider different numbers of secondary users, assuming that each user n randomly generates l n content (0n Figure 5 It can be seen that, compared with the SAP comparison algorithm based on the user's own overlapping alliances, the proposed algorithm based on the overlapping alliance game model of situation awareness can reduce the average spectrum acquisition cost by 17.7%.

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Abstract

The invention discloses an overlapping coalition game model under context awareness and a spatial adaptive play algorithm. The model is characterized in that secondary users with content requirementsin a D2D network are considered, adjacent users with overlapped content requirements form a coalition, and one user acquires frequency spectrum resources and forwards the acquired frequency spectrum resources to other users in the coalition. The algorithm is characterized in that the overlapping coalition game model is built, and participants are all the secondary users in the D2D network; each user divides other users into neighbor users and non-neighbor users; each user randomly selects and accesses one coalition and calculates the utility function brought by all selectable coalitions, and the user selects and accesses the coalition which can bring the optimal utility; loop iteration is performed until the coalition choice of all users achieves convergence or reaches set iteration times;the coalition choice under other content is calculated after the loop iteration until the whole network is covered. By the overlapping coalition game model and the spatial adaptive play algorithm, the frequency spectrum resource content overlapping relation among the users can be depicted and utilized.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and proposes an overlapping alliance game model and a spatial adaptive learning (Spatial Adaptive Play, SAP) algorithm under situation awareness. Background technique [0002] The shortage of spectrum resources and the high cost of acquiring spectrum resources have become an important issue in the communication field, which makes the research on spectrum auction and group buying in D2D networks more and more important. In response to this problem, a three-stage auction framework for spectrum group buying was proposed (reference Peng Lin, Xiaojun Feng, Qian Zhang and Mounir Hamdi, "Groupon in the Air: A Three-stage Auction Framework for SpectrumGroup-buying," 2013 Proceedings IEEE INFOCOM) to carry out layered optimization on group buying; someone proposed two honest group buying auction methods (reference Dejun Yang, Guoliang Xue and Xiang Zhang, "GroupBuyingSpectrum Auctions in Co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/18H04W72/04
CPCH04W16/18H04W72/0453H04W72/53
Inventor 陈瑾阮朗徐煜华陈学强杨旸张玉立孔利君
Owner ARMY ENG UNIV OF PLA
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