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User Scheduling Method Based on Dynamic Clustering in Dense Distributed Wireless Networks

A wireless network and user scheduling technology, applied in wireless communication, radio transmission systems, electrical components, etc., can solve problems such as large amount of information interaction, CSI, etc., and achieve the effect of satisfying service quality, low algorithm complexity, and reducing burden.

Active Publication Date: 2019-05-03
NANTONG RES INST FOR ADVANCED COMM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the performance of the existing dynamic clustering and user scheduling algorithms is far superior to that of the static clustering and user scheduling algorithms, but there are still problems such as a huge amount of information interaction and the need for all CSIs.

Method used

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  • User Scheduling Method Based on Dynamic Clustering in Dense Distributed Wireless Networks
  • User Scheduling Method Based on Dynamic Clustering in Dense Distributed Wireless Networks
  • User Scheduling Method Based on Dynamic Clustering in Dense Distributed Wireless Networks

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0038] The dense distributed wireless network model of this embodiment is as follows figure 1 As shown, assume that there are N RAUs in a single cell, connected to the central processing unit through optical fibers, each RAU has M antennas, the number of users is K, each user terminal has a single antenna, and all distributed antenna units share the user's For large-scale fading information (statistical channel information) and data information, the receiving end can accurately know the instantaneous channel information, and the transmit power of the antenna port of each distributed antenna unit is P. The whole system is composed of module 101, module 102, module 103 and module 104, among which module 101 is the RAU, the main function is to replace the radio frequency unit of the traditional base station, responsible for sending and receiving d...

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Abstract

The invention relates to a user scheduling method based on dynamic clustering of a densely distributed wireless network. Firstly, a central processing unit collects long-time channel information of users, each user utilizes the long-time channel information to select an RAU (Remote Access Unit) with the minimum large scale fading, then a ratio of the large scale fading of the users among the RAUs is calculated, the RAUs are merged to form a plurality of cooperation clusters, and each cooperation cluster includes a plurality of adjacent RAUs; and then short-time channel information is utilized, and each RAU cooperation cluster schedules a user set in parallel according to a sum data rate maximum criterion. According to the user scheduling method disclosed by the invention, clustering is carried out by using the users as the center; the user scheduling method can be suitable for variations of user mobility in a real system; spectrum utilization efficiency of the system is improved; and moreover, the user scheduling method has the advantages of low algorithm complexity and low cost of the required channel information.

Description

technical field [0001] The invention relates to a dense distributed wireless antenna system scheduling technology, in particular to a dynamic RAU (remote antenna unit) clustering and user scheduling method. Background technique [0002] As a kind of massive MIMO with distributed antenna array, dense distributed wireless network is expected to greatly improve the spectral efficiency and power efficiency of the system, and meet the future wireless data growth demand. The system densely arranges remote antenna units RAU in the whole community, and each RAU is connected with the central processing unit through a high-speed backhaul link to form a wireless communication system as a whole. Compared with traditional massive MIMO systems where antennas are placed centrally, densely distributed wireless networks can greatly shorten the access distance between users and antennas, resulting in low propagation loss and high spatial multiplexing gain. Therefore, its related research has...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W72/12H04B7/0413
CPCH04B7/0413H04W72/1263
Inventor 孙强徐晨高翔包志华王珏周晖罗磊
Owner NANTONG RES INST FOR ADVANCED COMM TECH CO LTD
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