Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Multi-relay selection algorithm based on distribution estimation

A technology of selection algorithm and distribution estimation, applied in the field of wireless communication, can solve problems such as inability to communicate in real time online, high energy consumption and system overhead, and high algorithm complexity

Inactive Publication Date: 2016-07-13
ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems of relay selection in the existing multi-relay selection scenario, the energy consumption and system overhead are large, the algorithm complexity is high, and online real-time communication cannot be performed, etc., the present invention provides a multi-relay selection algorithm based on distribution estimation , the specific technical scheme is as follows

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-relay selection algorithm based on distribution estimation
  • Multi-relay selection algorithm based on distribution estimation
  • Multi-relay selection algorithm based on distribution estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Step1: System modeling, a typical multi-relay selection scenario is as follows: a source workstation is recorded as S, a destination workstation is recorded as D, N R relay workstations, denoted as R 1 , R 2 ,...,R NR , from N R Among the relay workstations, select K relay workstations to participate in the transmission work, and the remaining N R -K relay stations sleep, where k≤N R , the problem boils down to, the optimization goal is to maximize the equivalent receiving signal-to-noise ratio, which is faster and less complex than the ordinary signal-to-noise ratio function calculation, and is easy to calculate and make decisions in real time.

[0068] The objective function is:

[0069] max SNR e f f = B R i ...

Embodiment 2

[0103] Studies have shown that our system overhead for population sorting accounts for more than 60%, and among them, the calculation of the objective function (ie, fitness function) is the most time-consuming. Therefore, we propose a setp1 in The simplified calculation formula of the objective function:

[0104] max SNR e f f = B R i D E SR ...

Embodiment 3

[0112] For the multi-relay selection algorithm described in Embodiment 1 and Embodiment 2, the algorithm in step 2 is initialized to generate the 0th generation individual set Δ 0 The probability distribution function of can satisfy the (0-1) distribution, and the probability density function is

[0113] p ( θ 1 , θ 2 , ... , θ n ) = Π i = 1 n p i ( θ i ) ,

[0114] ∀ i = 1 , 2 , ... , ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention relates to the field of the wireless communication technology, especially to a multi-relay selection algorithm, particularly to a multi-relay selection algorithm based on distribution estimation. Aiming at the problems that the relay selection in the multi-relay selection scenes in the prior art is large in energy consumption and system overhead and high in algorithm complexity and is incapable of online real-time communication, the present invention provides a multi-relay selection algorithm based on distribution estimation. The multi-relay selection algorithm based on distribution estimation comprises the steps of system modeling, initialization, optimization solution and the like. Compared with the prior art, the multi-relay selection algorithm based on distribution estimation creatively utilize the distribution estimation algorithm to the multi-relay selection in the wireless communication field so as to play a very good effect, reduce the algorithm complexity, improved the operation time and allow the algorithm online real-time operation to be possible; and moreover, a target function provided by the invention is an equivalent signal noise rate and is faster in function calculation than the common signal noise rate so that the complexity is low and the real-time calculation and decision are easy.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a multi-relay selection algorithm, in particular to a distribution estimation-based multi-relay selection algorithm. Background technique [0002] Cooperative communication technology is one of the key enhanced technologies discussed in depth in 4G, and it is also one of the indispensable key technologies in the future development of 5G. The excellent characteristics of system transmission performance have attracted more and more attention and obtained a large number of practical applications. The basic idea of ​​relay is to establish a virtual MIMO system by sharing antennas among users in the network, and then obtain the diversity gain of the system. [0003] Amplify-Forward (AF) and Decode-Forward (DF) are two relay protocols currently hot. The so-called AF means that the relay does not demodulate and decode the received signal, but directly forwards t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04W40/12H04W40/22H04W16/22
CPCH04W16/22H04W40/12H04W40/22Y02D30/70
Inventor 梁广俊
Owner ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com