Outage probability performance prediction method for mobile communication system

A mobile communication system and a communication system technology, applied in the field of outage probability performance prediction of mobile communication systems, can solve problems such as inability to effectively characterize complex and changeable mobile communication environments, and achieve the effect of good performance prediction effect

Active Publication Date: 2022-08-09
QINGDAO UNIV OF SCI & TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Large-scale multiple input multiple output (MIMO) technology and cooperative diversity are effective methods to improve communication system performance; system performance and resource allocation research in the prior art are all based on traditional channels such a...

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
  • Outage probability performance prediction method for mobile communication system
  • Outage probability performance prediction method for mobile communication system
  • Outage probability performance prediction method for mobile communication system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0042] First, as figure 2 As shown, step S1: Based on the multiple transmission and multiple reception and hybrid decoding, amplification and forwarding technology, a mobile cooperative communication system model is established.

[0043] like figure 1As shown, a mobile cooperative communication system model is given. The system includes a mobile source MS, multiple mobile relay nodes MR, and a destination MD. It works in half-duplex mode, and the communication channel is the N-Nakagami channel. MS has N t Root transmit antenna, MD has N r Root receiving antenna, MR uses 1 antenna.

[0044] Definition h = h g ,g∈{SR,SD,RD}, represents the channel gain of MS→MR, MS→MD, MR→MD link; the total transmit power of MS and MR is denoted as E; in order to represent the relative positions of MS, MR and MD , respectively with V SR ,V SD ...

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 invention discloses a method for predicting the outage probability performance of a mobile cooperative communication system. Based on the multi-transmit and multi-receive and hybrid decoding, amplification and forwarding cooperative communication technologies, a mobile cooperative communication system model is established, an optimal mobile relay node is selected, and a mobile information source is selected. When the signal-to-noise ratio of the link to the optimal mobile relay node is greater than the signal-to-noise ratio threshold, the decoding and forwarding strategy is used to forward the mobile source signal to the destination, and when it is smaller than the signal-to-noise ratio, the amplification and forwarding strategy is used to forward the signal to the destination. A transmission antenna selection scheme, respectively deduces the closed expressions of the outage probability of its mobile cooperative communication system, and uses neural networks to intelligently predict the outage probability performance of the physical layer of mobile communication, which is consistent with the existing extreme learning machine, local weighted linear The methods of regression, support vector machine, generalized regression neural network and radial basis function neural network are compared, and better performance prediction effect of outage probability is achieved.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a method for predicting the outage probability performance of a mobile communication system. Background technique [0002] In recent years, with the development of the fifth-generation mobile communication technology, multi-user mobile collaborative communication has received extensive attention; with the development of mobile Internet of Things services, the number of mobile users has grown explosively. The requirements of mobile users for the data rate and service quality of wireless transmission are constantly improving, and in many complex and changeable communication environments (such as indoors and around urban high-rise buildings), mobile communications face rapid changes in channel status, antenna array beamforming targets Problems such as positioning difficulties, which bring technical challenges to researchers. Therefore, in the complex and ch...

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): H04W24/06
CPCH04W24/06Y02D30/70
Inventor 徐凌伟陶冶黄玲玲王景景权天祺王涵于旭
Owner QINGDAO UNIV OF SCI & TECH
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
Try Eureka
PatSnap group products