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A User-Centric Ultra-Dense Network Resource Allocation Method

A technology for ultra-dense network and resource allocation, applied in the field of ultra-dense network resource allocation

Active Publication Date: 2020-10-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the research and application of related technologies are still in the initial stage. How to combine different network environment characteristics to meet user needs and propose better antenna and subcarrier allocation and beamforming vector design schemes are still issues worthy of discussion.

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  • A User-Centric Ultra-Dense Network Resource Allocation Method
  • A User-Centric Ultra-Dense Network Resource Allocation Method
  • A User-Centric Ultra-Dense Network Resource Allocation Method

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Embodiment Construction

[0041] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0042] The present invention is suitable for user-centered MIMO ultra-dense network scenarios. In this scenario, user nodes are very close to each other, and RRHs are also densely distributed, and transmit data to users through a certain beamforming scheme; the system performs unified scheduling of signal transmission through the BBU (baseband unit, baseband resource) pool, both Any RRH can provide services to any user on any channel. The scene of the present invention is as figure 1 shown.

[0043]In such a cellular network, user equipments with relatively close distances will cause very large interference to each other, seriously affecting system transmission efficiency. For this reason, the present invention at first proposes a user-centered overlapping RRH clustering method based on geographic location; then, designs a subcarrier alloca...

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Abstract

The invention discloses a user-centered ultra-dense network resource allocation method, which includes the following steps: S1, adopting a geographic location-based two-way selection overlapping RRH clustering algorithm to allocate RRHs; S2, adopting a priority-based system subsystem The carrier allocation algorithm allocates subcarriers to all RRHs; S3. According to the allocation results of the first two steps, assign the minimum rate lower limit constraint of each user to the subcarriers, and use the WSMSE minimization method to solve the power allocation and beamforming vector . The present invention adopts a method with low complexity to realize RRH allocation and sub-carrier allocation for each user in the system, distributes the rate constraint to each sub-carrier, and at the same time maximizes the resource utilization rate and reduces the interference between users, and can effectively improve the system efficiency. transmission efficiency.

Description

technical field [0001] The invention belongs to the field of 5G wireless communication, and in particular relates to a user-centered ultra-dense network resource allocation method. Background technique [0002] In recent years, the mobile data service has become the main service of the wireless communication network, and continues to develop rapidly at a speed beyond expectation. As the amount of mobile data continues to rise, in order to meet the ever-increasing traffic demands of users, mobile network operators must increase network capacity. MIMO technology can serve multiple users at the same time and provide multiplexing gain by introducing an additional spatial dimension, which can effectively improve the system spectrum efficiency. In the new generation of wireless communication systems, the combination of multiple technologies has become a trend. It is worth noting that the combination and application of these new technologies have made the network structure and in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W24/02H04W40/32H04W72/04H04W72/10
CPCH04W72/046H04W72/0453H04W40/32H04W24/02H04W4/029H04W72/56
Inventor 黄晓燕沈秋彤吴凡冷甦鹏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA