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Path division multiple access method based on large-scale MIMO-OTFS

A MIMO-OTFS, access method technology, applied in the field of path division multiple access, can solve the problems of non-negligible errors, sensitive user mobility conditions, waste of spectrum resources, etc., and achieve the effect of low complexity

Active Publication Date: 2020-12-15
XIDIAN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although BEM-based schemes can characterize the massive MIMO channel dynamics within a given block, the parameters of BEM are sensitive to user mobility conditions
In addition, both models have model approximation errors, especially at high speeds, where the errors become non-negligible
[0007] (2) When accessing a large number of users in a massive MIMO-OTFS system, since the channels of different users have different dispersion characteristics, the problem of inter-user interference management is more complicated; if the allocation delay-Doppler The resource blocks in the domain will cause a serious waste of spectrum resources

Method used

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  • Path division multiple access method based on large-scale MIMO-OTFS
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  • Path division multiple access method based on large-scale MIMO-OTFS

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Embodiment Construction

[0108] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0109] Aiming at the problems existing in the prior art, the present invention provides a method for diameter division multiple access based on massive MIMO-OTFS. The present invention will be described in detail below in conjunction with the accompanying drawings.

[0110] like figure 1 As shown, the RDMA method provided by the present invention comprises the following steps:

[0111] S101: Construct a massive MIMO time-varying uplink channel model based on a large-scale uniform linear array antenna;

[0112] S102: Based on OTFS modulation, obtain a large-scale MIMO-OTFS angle-delay-Doppler domain receiving signal model ...

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Abstract

The invention belongs to the technical field of wireless communication, and discloses a path division multiple access method based on a large-scale MIMO-OTFS. The path division multiple access methodcomprises the steps of: acquiring a large-scale MIMO-OTFS angle-delay-Doppler domain received signal model and angle-delay-Doppler domain uplink primary and secondary 3D channel models through OTFS modulation; designing a user angle domain grouping and path scheduling algorithm by utilizing the dispersion characteristic of a large-scale MIMO-OTFS channel in an-angle-delay-Doppler domain, and reasonably allocating angle domain resources at a user side; receiving pilot frequencies and effective data of different users at scheduled receiving grid point positions, using a least square estimator for estimating channels thereof, and carrying out data recovery through adopting a maximum ratio combination method; and guiding a downlink access process by using a user grouping and path scheduling algorithm in uplink transmission. By adopting the path division multiple access method , interference among multiple users can be reduced, large-scale access of the users is realized, and the spectrum utilization rate is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a large-scale MIMO-OTFS-based path division multiple access method. Background technique [0002] Present: Massive MIMO is a promising technology for next-generation communication networks. Significant gains in energy and capacity efficiency can be achieved by using a large number of antennas on the base station. With accurate channel state information, the achievable rate of the system can be analyzed, network interference can be quantified, resource allocation can be optimized, and the energy efficiency of the system can be derived. Furthermore, the signal processing elements of massive MIMO, such as beamforming, precoding, user scheduling, and data detection, can be optimized. However, as the user moves at higher speeds, the channel changes over time. Acquiring time-varying channels with limited channel coherence time will be more challenging. ...

Claims

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Application Information

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IPC IPC(8): H04B7/0413H04B7/06H04B7/08H04B17/382H04B17/391H04L25/02
CPCH04B7/0413H04B7/0617H04B7/0897H04L25/024H04B17/382H04B17/391
Inventor 张顺李牧野李红艳马建鹏刘禹杉
Owner XIDIAN UNIV
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