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Cooperative communication method based on game theory in multi-antenna relay system

A relay system and cooperative communication technology, applied in the field of cooperative communication based on game theory, can solve the problems of ignoring system performance, poor stability, waste of resources, etc.

Inactive Publication Date: 2016-10-26
SHANTOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the field of traditional non-cooperative communication, due to the disadvantages of poor stability, waste of resources, etc., and the inability to take into account the interests of individual users and the overall interests, the entire system is inefficient
Since the nodes of users in the wireless organization network are all selfish, users consider how to use their own resources with the highest efficiency to maximize their own benefits, while ignoring the performance of the entire system

Method used

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  • Cooperative communication method based on game theory in multi-antenna relay system
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  • Cooperative communication method based on game theory in multi-antenna relay system

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Embodiment 1

[0032] Embodiment 1: Multi-antenna relay cooperative transmission node S 1 And node S 2 The signal-to-noise ratio gain.

[0033] The process of the present invention is as figure 1 As shown, it is mainly aimed at a multi-antenna relay selection system based on game theory. figure 2 Given a symmetric cooperative relay network model, it may be assumed that the user node S 1 And user node S 2 The number of antennas is N 1 , Base station D 1 And D 2 The number of antennas is N 2 , User S 1 The target node is D 1 , And user S 2 The target node is D 2 . But S 1 Distance D 1 Compared to S 2 Farther, I want to transmit data in a cooperative way to enhance link performance. S 2 The situation is similar.

[0034] In the Matlab simulation environment, the optimal antenna selection is adopted, assuming the maximum transmit power P of each data source max =10mW, with continuous power allocation strategy space K i [I=1,2]; source node S 1 And S 2 Equipped with 2 antennas, target node D 1 And D...

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Abstract

The invention relates to the technical field of wireless communication, and specifically relates to a cooperative communication method based on a game theory in a multi-antenna relay system. A game model is established, and a new power distribution method is provided for the multi-antenna relay system based on selfishness of user nodes. Compared with the prior art, the method has the advantages that the multi-antenna relay selection system and the game theory are combined, thereby ensuring the performance of the whole system and the fairness among the individual users; on the basis of the selfishness of the user nodes, through adoption of the new power distribution scheme, the optimum efficacy of the system is realized; and moreover, the profits of the users are maximized. According to the method, the defects that the traditional non-cooperative communication is low in integral operation efficiency and the stability is low are overcome; the profits of the individual and the whole are ensured; and the Signal to Noise Ratio gain of the user nodes is improved.

Description

Technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a cooperative communication method based on game theory in a multi-antenna relay system. Background technique [0002] As one of the key technologies of the fourth generation of mobile communications, relay cooperation technology is an emerging research field with great potential and application prospects. Many research institutions at home and abroad have conducted in-depth research on it. At the same time, game theory, as a new research method, has been widely used in various fields of collaborative communication research. In the traditional non-cooperative communication field, due to the disadvantages of poor stability and waste of resources, and the inability to take into account the interests of individual users and the overall interests, the overall system operation efficiency is low. Since the nodes of users in the wireless organization network are selfi...

Claims

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Application Information

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IPC IPC(8): H04B7/02H04L5/00
CPCH04B7/024H04L5/0035Y02D30/70
Inventor 桂鹏程周雯范立生李旭涛唐雅娟
Owner SHANTOU UNIV
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