Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Large-scale MIMO (Multiple Input Multiple Output) optimal user scheduling number configuration method

A technology of user scheduling and configuration methods, applied in radio transmission systems, electrical components, wireless communications, etc., can solve the problems of low channel capacity, low sum of multi-user channel capacity, and affecting the sum of multi-user channel capacity , to achieve the effect of simple calculation formula, reducing calculation complexity and avoiding power loss

Active Publication Date: 2017-11-17
SOUTHEAST UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, if the number of users is too small, although each user can obtain a higher channel capacity, the sum of the multi-user channel capacity of the system as a whole will not be very high; on the contrary, if the number of users is too large, the channel capacity of each user The capacity will be very low, which will also affect the sum of the multi-user channel capacity of the system as a whole

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
  • Large-scale MIMO (Multiple Input Multiple Output) optimal user scheduling number configuration method
  • Large-scale MIMO (Multiple Input Multiple Output) optimal user scheduling number configuration method
  • Large-scale MIMO (Multiple Input Multiple Output) optimal user scheduling number configuration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] (1) Given the user ADC quantization bit number b, the loss coefficient is calculated by the following formula:

[0067]

[0068] (2) Calculate the coefficient from the number of base station antennas N, the pilot length τ and the coherent time interval T as follows;

[0069]

[0070] (3) by e q , η, and SNR γ 0 , to calculate the optimal user antenna ratio as follows

[0071]

[0072] Then the number of optimal user scheduling is M opt =Nβ opt .

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 large-scale MIMO (Multiple Input Multiple Output) optimal user scheduling number configuration method. In a large-scale MIMO system, a base station needs to be configured with tens of, even hundreds of antennas. Specific to the aim of lowering hardware cost and system power consumption, the antennas of the base station are configured with 1-bit-quantified DACs (Digital-to-Analog Converters), and single antenna users adopt finite-bit-quantified ADCs (Analog-to-Digital Converters). Oriented to downlink data transmission in a system, normalized zero-forcing precoding is adopted. Under the condition that the number of the base station antennas, user ADC accuracy, a signal-to-noise ratio, a pilot frequency length and a coherence interval are given, an optimal user scheduling number is calculated through maximization of an achievable rate provided by each antenna. Through adoption of the method, calculation is easy, and the optimal user number can be determined rapidly. The method has guiding significance to multi-user scheduling parameter configuration of the large-scale MIMO system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for configuring the number of optimal user scheduling for massive MIMO. Background technique [0002] In recent years, due to its huge energy efficiency advantages and room for capacity improvement, the massive MIMO (Multiple Input Multiple Output) scheme has become a key technology for the next generation of mobile communication solutions (5G). In a massive MIMO system, a base station needs to be configured with dozens or even hundreds of antennas and serve multiple users at the same time. Since each transmitting antenna needs to configure a digital-to-analog conversion unit (DAC) for the real part and the imaginary part of the signal, as the number of antennas increases, the hardware and power consumption costs of the system increase accordingly. There are currently two solutions to this problem. One is to use low-precision DAC (because the...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0452H04W72/12
CPCH04B7/0452H04W72/121H04W72/566
Inventor 许威徐锦丹
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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