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Multi-user MIMO uplink antenna selection and user scheduling method

A technology for antenna selection and user scheduling, applied in the field of fourth and fifth generation mobile communications, can solve problems such as difficulty in implementation, and achieve the effect of good rate performance and great application value

Active Publication Date: 2016-12-14
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

[0008] However, it is currently difficult for various algorithms to achieve superior performance such as system speed and speed standard deviation, and to reduce computational complexity.

Method used

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  • Multi-user MIMO uplink antenna selection and user scheduling method
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  • Multi-user MIMO uplink antenna selection and user scheduling method

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Embodiment Construction

[0020] As mentioned above, in a multi-user MIMO communication system, especially a Massive MIMO communication system, the antenna cost of the base station is very low, and can be deployed on a large scale to form an antenna array; but the analog front-end resources are relatively expensive, and deploying an AFE for each antenna will greatly increase costs and waste resources. Considering the limited practical application scenarios of the AFE module, the embodiment of the present invention proposes an antenna selection and user scheduling method for searching the maximum MSV by combining downward branch delimitation based on user semi-orthogonality and local iterative optimization. There is no appreciable increase in complexity in the case of improved performance. The following is an example from the aspects of algorithm description, method steps and performance analysis.

[0021] 1. Algorithm description

[0022] 1.1 System model and rate issues

[0023] 1.1.1 System model ...

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Abstract

The invention relates to a multi-user MIMO uplink antenna selection and user scheduling method. The maximal minimum singular value (MSV) of a channel matrix is searched based on a downwards branch and bound algorithm and a local iterative optimization algorithm selected by a user based on semi-orthogonality, to achieve joint antenna selection and user scheduling; the algorithm adopts a channel capacity as an evaluation index, and rate performance of local optimization is better and approaches a brute-force search (BFS) algorithm; and meanwhile, computation complexity of the algorithm is far lower than that of the BFS algorithm, and the algorithm has larger application value and is a promising antenna selection and user scheduling method in a multi-user MIMO system.

Description

technical field [0001] The present invention relates to the field of fourth generation and fifth generation mobile communication. In order to solve the above problems, the present invention proposes a multi-user MIMO uplink antenna selection and user scheduling method (Joint Antenna Selection and User Scheduling, JASUS). -ForceSearch, BFS); at the same time, the computational complexity of this algorithm is much lower than that of the exhaustive method, which has great application value. Therefore, the present invention is a promising antenna selection and user scheduling method in a multi-user MIMO system. Background technique [0002] In modern and future mobile communication systems, base stations serve multiple users simultaneously by deploying antenna arrays, thereby forming a multi-user Multiple-Input Multiple-Output (MIMO) system. [0003] In the past ten years, MIMO technology in wireless communication has been widely concerned by researchers around the world due t...

Claims

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Application Information

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IPC IPC(8): H04B7/06H04B7/04
CPCH04B7/0452H04B7/0608
Inventor 董宇涵唐圆圆钱思远
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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