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Distributed energy allocation method for small cell networks based on game theory

An energy distribution and distributed technology, applied in the field of communication, can solve problems such as multi-cell situation and co-frequency interference, etc., and achieve the effect of reducing system energy consumption, high speed, and low energy consumption

Active Publication Date: 2017-08-18
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The multi-cell situation is not considered. Compared with the single-cell resource allocation problem in a multi-cell network, the biggest challenge lies in the co-channel interference in a multi-cell environment.

Method used

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  • Distributed energy allocation method for small cell networks based on game theory
  • Distributed energy allocation method for small cell networks based on game theory
  • Distributed energy allocation method for small cell networks based on game theory

Examples

Experimental program
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Embodiment 1

[0042] Embodiments of the present invention are applied in a wireless network, including the following steps:

[0043] The first step is to set up an LTE cellular system network model that includes S adjacent cells (S represents a cell), and when S=10, it is as follows figure 2 As shown, the system divides N sub-channels (n) in total, and each cell shares these sub-channels, and K=8 users are evenly distributed in each cell, and the cell ownership of each user is determined, and K is the user set in cell S .

[0044] Define μ s,n is the interference factor of cell s on the nth subchannel, namely:

[0045]

[0046] where: g s,n is the channel gain of cell s on the nth subchannel, g i,n is the channel gain of other cell i on the nth subchannel, p i,n is the transmit power of other cell i on the nth subchannel, σ 2 is Gaussian white noise.

[0047] Define η s,n is the signal-to-noise ratio of cell s on the nth subchannel during information transmission, that is:

[0...

Embodiment 2

[0069] Such as Figure 5 As shown, the present invention provides a game theory-based small cell network distributed energy allocation method, the method includes the following steps:

[0070] The first step is to set up an LTE cellular system network model that includes S adjacent cells (S represents a cell), and when S=10, it is as follows figure 2 As shown, the system divides N sub-channels (n) in total, and each cell shares these sub-channels, and K=8 users are evenly distributed in each cell, and the cell ownership of each user is determined, and K is the user set in cell S .

[0071] In the second step, in the non-cooperative cell power control game model of the present invention, the cell S participating in the decision-making is called a player in the game (Player); The behavior of maximizing one's own utility is called a strategy (Strategy), and the set p of all available strategies s =[p s,1 ,p s,2 ...,p s,n ] is called a strategy space (that is, Strategy Spac...

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Abstract

The invention discloses a distributed energy allocation method for small cell networks based on the game theory. For a multi-cell LTE mobile communication system, a novel distributed power allocation method is provided; by means of the method, under the restrictive condition that the cell power and the sending rate are satisfied, the ratio of the cell system capacity to the energy loss is increased to the most extent; and thus, the purpose of providing the relatively high rate with relatively low energy consumption can be achieved. According to the method disclosed by the invention, a multi-cellular non-cooperative game model is established at first; the existence of Nash equilibrium points of the system model is proved; furthermore, an iterative resource allocation algorithm is provided; the system energy efficiency is optimized through continuous iteration of power of cells on sub-carriers; and a simulation result shows the existence of the Nash equilibrium points of the system model, and explains that the algorithm is convergent to the Nash equilibrium points.

Description

technical field [0001] The invention relates to a small cell network distributed energy allocation method based on game theory in a wireless network, which belongs to the technical field of communication. Background technique [0002] With the rapid development of wireless communication technology and smart phones and other devices, users have higher requirements for bandwidth, and the data load that modern wireless communication networks need to support is also increasing at an alarming rate. More and more cellular network infrastructure and huge load also lead to more and more energy consumption in the mobile cellular network. However, such a huge energy consumption not only increases the operating costs of operators, but also directly leads to the increase of carbon emissions and the deterioration of the ecological environment. Small cell networks (Small Cell Networks, SCNs) are considered to be a very promising technology to solve the high load and high energy consumpti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W52/14H04W52/26
CPCH04W52/143H04W52/267
Inventor 李大鹏李瑞生黄波
Owner NANJING UNIV OF POSTS & TELECOMM
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