Multiple-input multiple-output (MIMO) multicasting beamforming method

A beamforming method and beamforming vector technology, applied in diversity/multi-antenna systems, space transmit diversity and other directions, can solve problems such as large computational load, inability to effectively apply actual communication systems, poor performance, etc., and achieve high channel capacity , Significant performance advantages, the effect of reducing computational complexity

Inactive Publication Date: 2014-02-12
UNIV OF SCI & TECH OF CHINA
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a multiple-input multiple-output (MIMO) multicast beamforming method, to improve the existing SDR randomization method in the process of obtaining beamforming vectors with large computational load and poor performance, Problems that cannot be effectively applied to practical communication systems

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
  • Multiple-input multiple-output (MIMO) multicasting beamforming method
  • Multiple-input multiple-output (MIMO) multicasting beamforming method
  • Multiple-input multiple-output (MIMO) multicasting beamforming method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] Embodiment 1: MIMO multicast beamforming method with 8 transmit antennas and 16 user scenarios

[0019] In this embodiment, the base station is configured with 8 transmitting antennas, and a single multicast user group is taken as an example, and the group includes 16 users, to introduce specific implementation manners of the present invention.

[0020] figure 1 A schematic diagram of the MIMO downlink signal processing process for user k is given. In the source sending step A1 at the base station, the source signal is x and satisfies After the power allocation step A2 allocates the power P to the user k, and then the beamforming vector w provided in the beamforming step A3 completes the MIMO transmission beamforming of the base station, then the transmission signal of the base station can be expressed as The signal is physically transmitted through the transmission environment of user k: wherein the channel transmission step A4 makes the transmitted signal pass thr...

Embodiment 2

[0043] Embodiment 2: MIMO multicast beamforming method with 16 transmitting antennas and variable number of users

[0044] In this embodiment, the specific implementation manner of the present invention is introduced by taking the following scenario where the base station is configured with 16 transmitting antennas, a single multicast user group, and the group includes a variable number of users as an example.

[0045] Assume that the number of transmit antenna configurations at the base station is M=16, the transmit power P=1, and the number of receive antenna configurations for each user in the MIMO multicast user group is N k =1, the number K of users in the group is variable, and the range of change is K∈[2,32]. Using Rayleigh flat fading channel, the noise variance of each user subchannel is And it is assumed that the transmitting end accurately knows the MIMO channel state information (CSI) corresponding to each user.

[0046] For each determined number of users K in ...

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 multiple-input multiple-output (MIMO) multicasting beamforming method, which is characterized by comprising the following steps of: adopting iterative search with adjustable step length; decomposing a channel matrix corresponding to a user with the worst signal to noise ratio in a group by utilizing singular value decomposition (SVD) in the process of each step of iteration, and acquiring a maximum right singular vector of the channel matrix; and approaching a beamforming vector to the direction of the maximum right singular vector gradually. Compared with the conventional single data rate (SDR) randomization method, the method has the advantages that: the beamforming vector acquired by the method can increase channel capacity effectively and have lower operation complexity simultaneously. Moreover, as the number of transmitting antennae configured in a base station end is increased and the number of the users in the group is increased, the method provided by the invention has the more obvious performance advantages and is applicable for implementation in new generation MIMO broadband wireless and mobile communication systems of 802.11n, time division high speed packet access + (TD-HSPA+) and time division long term evolution (TD-LTE).

Description

technical field [0001] The invention belongs to the technical field of multiple-input multiple-output (MIMO) broadband wireless and mobile communication, and in particular relates to a beamforming method for a single user group MIMO multicast downlink, which is applicable to new technologies such as 802.11n, TD-HSPA+ and TD-LTE. A generation of broadband wireless and mobile communication systems. Background technique [0002] Different from the traditional omnidirectional antenna or fixed beam antenna transmission mode, how to effectively design beamforming vectors in MIMO multicast services to improve the utilization of wireless spectrum resources has attracted widespread attention in the industry. In particular, designing and finding an effective MIMO multicast transmission strategy to ensure the fairness of multicast users has always been the main research content in related fields. The MIMO multicast service can be understood as that within the coverage of a base statio...

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): H04B7/06
Inventor 许小东杜柏生戴旭初
Owner UNIV OF SCI & TECH OF CHINA
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