Joint optimization algorithm combining antenna selection with interference alignment

An interference alignment and joint optimization technology, applied in diversity/multi-antenna systems, radio transmission systems, transmission noise suppression, etc., can solve problems such as increased computational complexity, and achieve the effects of reducing complexity, enhancing performance, and optimizing system performance

Inactive Publication Date: 2018-05-01
CHONGQING UNIV OF POSTS & TELECOMM
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this algorithm can reduce the computational complexity, when the number of antennas increases, the computational complexity also increases

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
  • Joint optimization algorithm combining antenna selection with interference alignment
  • Joint optimization algorithm combining antenna selection with interference alignment
  • Joint optimization algorithm combining antenna selection with interference alignment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] specific implementation plan

[0045] In order to enable those skilled in the art to better understand the purpose, technical solutions and beneficial effects of the present invention, a complete description will be given below in conjunction with specific embodiments and accompanying drawings.

[0046] S1: Initialize the maximum chord distance to zero, select N antennas from the total number of transmitting antennas, and list all possible antenna subsets at the transmitting end.

[0047] S2: Select one of the antenna subsets, and design the interference alignment precoding V and the interference suppression matrix U through the inner product norm minimum criterion.

[0048] S3: Calculate the chord distance between the interference subspace and the desired signal subspace.

[0049] S4: Save the chord distance of the selected antenna subset, compare it with the maximum chord distance, and update the maximum chord distance parameter according to the comparison result.

...

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 relates to an optimization algorithm combining antenna selection with interference alignment in an MIMO (multiple input multiple output) system, and belongs to the technical field of wireless communication. The method mainly includes the steps: (1) initializing a maximum chordal distance to be zero, selecting N antennas from total transmitting antennas and listing all possible antenna subsets at a transmitting end; (2) calculating interference alignment pre-coding and an interference suppression matrix through minimum criteria of inner product norms according to the selected antenna subsets; (3) calculating the chordal distance between an interference subspace and an desired signal subspace; (4) storing the chordal distances of the selected antenna subsets, comparing the chordal distances with the initialized maximum chordal distance, and updating maximum chordal distance parameters according to comparison results. The interference alignment and antenna selection joint algorithm considers the problem of serious mutual interference between high complexity of a traditional antenna selection algorithm and a user, interference alignment processing interference superiorityis ensured, the strength of desired signals at a receiving end is maximum, and complexity of search for optimal antenna subsets is reduced.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a joint optimization algorithm combining antenna selection and interference alignment. Background technique [0002] In a wireless communication system, due to the increasing number of mobile users, the interference between users becomes more and more serious, and the interference gradually becomes a key problem that seriously affects the system performance. The traditional interference handling method is to allocate communication resources such as time domain and frequency domain, so that each user can obtain corresponding resources and avoid mutual interference. However, as the number of users accommodated by the system increases, the resources obtained by each user without changing the total resources will be less. Therefore, the increase of users in the network will cause the performance of each user to decrease. [0003] Jamming, as a technique to deal with ...

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): H04B7/0452H04B7/0456H04B15/00H04B7/06
CPCH04B7/0452H04B7/0456H04B7/0608H04B15/00
Inventor 唐宏徐栋刘东东
Owner CHONGQING UNIV OF POSTS & TELECOMM
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