Proportional Fair Scheduling Method for Downlink Multi-Users Aided by Statistical Channel Information

A technology of statistical channel information and proportional fair scheduling, which is applied in the field of multi-user MIMO scheduling, can solve the problems of unfair system scheduling, users who cannot be scheduled, and occupying the opportunity of base station scheduling, etc., to achieve the effect of facilitating scheduling and pairing

Inactive Publication Date: 2011-11-30
SOUTHEAST UNIV +1
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to maximize the throughput of the system, the base station usually uses the maximum sum rate criterion to schedule users, so the users who are closer to the base station have better channel quality and will always occupy the schedu

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
  • Proportional Fair Scheduling Method for Downlink Multi-Users Aided by Statistical Channel Information
  • Proportional Fair Scheduling Method for Downlink Multi-Users Aided by Statistical Channel Information
  • Proportional Fair Scheduling Method for Downlink Multi-Users Aided by Statistical Channel Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The embodiment of the present invention provides two proportional fair scheduling methods using statistical channel information, namely the scheduling pairing method and the pairing scheduling method:

[0039] (1) The scheduling pairing method includes the following steps:

[0040] Step 1: The base station and the user terminal need to pre-store the same set or sets of codebooks ,in for M mutually orthogonal codewords; the base station and the user end obtain statistical channel information, that is, transmit correlation matrix and receive signal-to-noise ratio of each user;

[0041] Step 2: The base station and the UE use the pre-stored codebook to search for the codeword that best matches the transmission correlation matrix in the channel statistical information, that is, to find the codeword that has the smallest angle with the eigenvector with the largest statistical eigenvalue: ,in express to make biggest ; At the same time, use the statistical channel ...

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 embodiment of the invention discloses two proportional fair scheduling methods assisted by using statistical channel information in a downlink multiuser multi-input multi-output transmission system, namely the scheduling matching method and the matching scheduling method, wherein the scheduling matching method mainly comprises the following steps: each user feeds back instantaneous CQI (Channel Quality Indicator) to a base station in each time slot, the base station schedules the first user by using the maximum normalized CQI standard and simultaneously selects other users mutually orthogonal to the statistical characteristic direction of the first user to form a scheduling set; and the matching scheduling method mainly comprises the following steps: the base station makes users with mutually orthogonal statistical characteristic direction form a group, each user feeds back the instantaneous CQI to the base station in each time slot, and the base station selects a scheduling group according to various standards. The invention has the advantages of low feedback expense and low calculation complexity, different scheduling standards can be freely set, the service quality of users is satisfied, and meanwhile, the invention also has the characteristic of considering the throughout and the fairness of the system.

Description

technical field [0001] The invention relates to a multi-user MIMO scheduling technology, in particular to a multi-user scheduling method using statistical channel information and instantaneous channel information. Background technique [0002] At present, in wireless communication systems, although multiple-input multiple-output (MIMO) technology in the physical layer has become a hot technology, it can improve the performance of the system, but in the broadcast channel, that is, the multi-user MIMO downlink transmission system Among them, an effective scheduling algorithm has also become a cutting-edge technology that has attracted much attention. Using it can further effectively utilize the multi-user diversity gain and spatial multiplexing gain to improve system performance. [0003] For broadcast channels, efficient scheduling algorithms rely on feedback techniques between base stations and users. If the user does not feed back channel information to the base station, 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): H04W72/12H04B7/06
Inventor 高西奇孙强金石王珏张源李潇
Owner SOUTHEAST UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap