User packet method based on density in large-scale MIMO system downlink

A user grouping and downlink technology, applied in the transmission system, radio transmission system, electrical components, etc., can solve the problem of system rate impact and achieve the effect of improving the system rate

Active Publication Date: 2017-06-27
BEIJING UNIV OF TECH
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Problems solved by technology

In the JSDM scheme, user grouping is mainly to reduce the dimensionality of the system, and the second-level precoding greatly simplifies the computational complexity of precoding. In the second-level precoding, the first-level pre-beamforming cod

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  • User packet method based on density in large-scale MIMO system downlink
  • User packet method based on density in large-scale MIMO system downlink
  • User packet method based on density in large-scale MIMO system downlink

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Embodiment Construction

[0026] The embodiment of the present invention provides a density-based user grouping method in the massive MIMO downlink, which uses the k-dist graph to estimate the user density distribution, and then uses the DBSCAN algorithm to group the users, which greatly reduces the number of users in the massive MIMO system. computational complexity.

[0027] The method of the present invention proposes a density-based user grouping method on the basis of the JSDM scheme. The JSDM scheme is a scheme for reducing the complexity of large-scale MIMO proposed by Ansuman Adhikary et al. on the basis of channel correlation, and has two main features: The first is to group all users according to the similarity of channel correlation, and the second divides the precoding matrix into two stages to eliminate inter-group interference and intra-group interference respectively. The physical model of this method is to consider the downlink in a massive MIMO system in a single-cell FDD system. The t...

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Abstract

The present invention discloses a user packet method based on density in a large-scale MIMO system downlink. The method comprises the following steps: the step 1, calculating a distance among all the users, and obtaining a distance matrix; the step 2, obtaining a k-dist graph according to the distance matrix, and obtaining two important parameters, consisting of a radius and a minimum user quantity threshold, of a DBSCAN algorithm according to the user density distribution information included in the graph; and the step 3, starting clustering from any one user after obtaining the two important parameters, and obtaining a final user packet result. According to the technical scheme, an appropriate inter-user distance measurement mode is found, a clustering based on the density is employed and the user density distribution information is employed to divide all the users in a district into several groups so as to greatly improve the system rate.

Description

technical field [0001] The invention belongs to the relevant field of research on methods for improving channel capacity in massive MIMO, and in particular relates to a density-based user grouping method in massive MIMO downlinks in an FDD system. Background technique [0002] In the past few decades, the demand for data transmission rate in wireless networks has increased dramatically, but the limited spectrum resources have greatly limited the growth of transmission rate, so massive MIMO has been favored by virtue of its high spectrum utilization and high energy utilization. It is considered to be the core technology of the next generation wireless communication system. Massive MIMO systems are equipped with tens or hundreds of antennas at both the base station and the user end to meet the increasing transmission rate requirements without increasing additional communication bandwidth. Moreover, massive MIMO can reduce system delay, simplify the system MAC layer, and be mo...

Claims

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Application Information

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IPC IPC(8): H04B7/0452H04B7/0426
CPCH04B7/0426H04B7/0452
Inventor 孙艳华吕苏苏刘硕司鹏搏孙恩昌杨睿哲吴文君张延华
Owner BEIJING UNIV OF TECH
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