A pu-based 2 rc's mu‑mimo user selection method

A technology of user and user aggregation, applied in the field of MU-MIMO technology design, can solve the problems of not considering CDI quantization error and poor performance

Active Publication Date: 2017-04-26
CERTUS NETWORK TECHNANJING
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This scheme has improved system performance in the case of low number of users and high SNR, but due to the simplification of the pattern search formula and the lack of consideration of CDI quantization error, the performance is poor in the case of high number of users or low SNR

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
  • A pu-based <sup>2</sup> rc's mu‑mimo user selection method
  • A pu-based <sup>2</sup> rc's mu‑mimo user selection method
  • A pu-based <sup>2</sup> rc's mu‑mimo user selection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention is described in further detail below in conjunction with accompanying drawing:

[0042] Consider the MU-MIMO downlink transmission scenario, assuming that the eNode B is configured with M antennas, the number of UEs in the system is K, and each UE has N antennas. Assuming that the number of data streams sent to each user is L, if L=1, it is single-stream transmission, and if L>1, it is multi-stream, the eNode B firstly transmits the L×1-dimensional signal b transmitted to each user k (k=1,...,K) use M×L dimensional precoding matrix T k After precoding processing, it is transmitted into the MIMO channel. If the MIMO channel corresponding to each user is expressed as an N×M dimensional matrix h k , then the signal received by the kth user can be expressed as

[0043] r k =h k x+n k (1)

[0044] Among them: M×1-dimensional signal vector is the transmitted signal at the base station, and its average power is E{||x|| 2}=P,n k Represents the ...

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 PU2RC-based MU-MIMO user selection method. The method comprises the steps that multiple sets of orthogonal codebooks are designed off line, and the codebooks are redistributed based on an adjacent codebook vector grouping method; a user side feeds back a CDI quantization vector sequence number and CQI parameters in an informationized mode; a base station side will perform processing as follows, firstly, when multiple users are quantized to the same codebook vector, the users of which the CQI is maximum are retained; the users of which the channel conditions are the best on all codebook matrixes Vg are selected to form a user set (please see the specifications); the user sets associated to other codebook vectors in the codebook matrixes corresponding to the optimal users are enlarged one by one; a CDI quantizes errors and errors between user recovery channels and real beam forming vectors, reconstructs an SINR computational formula and searches for the optimal mode Lg and the corresponding user set in a traversal mode in all codebook matrixes Vg according to the sum rate calculated through the constructed formula; based on the sum rate maximum criterion, the optimal Vg* is selected, and the optimal mode Lg* and the user set corresponding to the Vg* are the MIMO transmission mode and the selected user set of a system.

Description

technical field [0001] The invention belongs to the field of MU-MIMO technical design, and relates to a PU-based 2 RC's MU-MIMO user selection method. Background technique [0002] In the case of limited feedback in MU-MIMO systems, some classic user selection algorithms, such as exhaustive search algorithm, GS (greedy search) algorithm, GS algorithm that maximizes the upper bound of capacity, semi-orthogonal user selection algorithm, based on SLNR ( Signal-to-leakage-to-noise ratio) maximum user selection algorithm, user selection algorithm based on maximum chord distance and ZFBF (zero-forcing beamforming) algorithm, etc. These algorithms need to design two sets of codebooks for CDI quantization and precoding respectively, which is not conducive to the simplified design of the system. [0003] In recent years, PU 2 The RC (Per user unitary rate control) scheme is proposed as the basic implementation scheme of MU-MIMO in the LTE standard, and has received widespread atte...

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 Patents(China)
IPC IPC(8): H04L1/00H04L1/06H04B7/0413
Inventor 张国梅任俊臣吕刚明李国兵王兵
Owner CERTUS NETWORK TECHNANJING
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