Cloud wireless networking system and energy consumption distribution method thereof

An allocation method and wireless access network technology, applied in the field of cloud wireless access network energy consumption optimization, can solve problems such as inability to directly solve C-RAN power minimization, failure to consider correlation, etc., to avoid RAU working state adjustment and virtual machine integration, energy consumption optimization, and the effect of reducing network energy consumption

Inactive Publication Date: 2017-05-31
ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
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AI Technical Summary

Problems solved by technology

The existing C-RAN energy consumption optimization method optimizes CU energy consumption and RAU energy consumption separately, without considering the correlation between the two
Moreover, existing optimization algorithms cannot directly solve the C-RAN power minimization problem due to the coupling of the on / off state setting of the RAU with the consolidation of virtual machines in the CU

Method used

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  • Cloud wireless networking system and energy consumption distribution method thereof
  • Cloud wireless networking system and energy consumption distribution method thereof
  • Cloud wireless networking system and energy consumption distribution method thereof

Examples

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Embodiment Construction

[0047] In the cloud radio access network (C-RAN), the radio access unit 4 (RAU) is responsible for wireless signal transmission / reception and signal analog / digital conversion between the user equipment 5 (UE), and the computing unit 1 (CU ) to deploy a virtual machine 6 (VM) to process the baseband signal corresponding to the RAU, and the baseband signal is transmitted between the RAU and the CU through a fronthaul link. In order to meet the user's large data transmission requirements, the RAU adopts the small cell deployment mode, and the coverage area of ​​each RAU is much smaller than that of the traditional base station, so as to improve the spectrum efficiency of the network. Therefore, RAUs need to be densely deployed in the C-RAN to provide data transmission services, and these RAUs will generate a lot of energy consumption. At the same time, C-RAN also needs to deploy a certain number of CUs for baseband signal processing, and CUs are all served by high-performance ser...

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Abstract

The invention discloses a cloud wireless networking system. At least two calculation units are interconnected through an internal high-speed switch to constitute a calculation unit cell; data transmission is performed between at least two wireless access units and user equipment in a signal range, each wireless access unit performs baseband signal processing with a virtual machine in the corresponding calculation unit through a corresponding forward-passing link exchange structure, each wireless access unit is provided with a unique virtual machine, and the forward-passing link exchange structure outputs a user equipment connection state signal of each wireless access unit to a cloud wireless access network controller. The on / off state of each RAU (remote access unit) is dynamically adjusted according to the position distribution of the user equipment in a network and changes of data transmission demands, meanwhile, the virtual machines providing baseband signal processing service for the RAUs are integrated into fewer CUs (control units) to the greatest extent, and the purpose of reducing the number of the CUs and the RAUs required to be started to reduce network energy consumption on the premise that the network service demands are met is achieved.

Description

technical field [0001] The invention relates to the field of cloud radio access network (C-RAN) energy consumption optimization. Background technique [0002] The goal of cloud radio access network (C-RAN) energy optimization method is to reduce the total energy consumption of two main types of energy-consuming devices in C-RAN: computing unit (CU) and radio access unit (RAU). The existing C-RAN energy consumption optimization method optimizes the CU energy consumption and the RAU energy consumption separately, without considering the correlation between the two. Moreover, the existing optimization algorithms cannot directly solve the C-RAN power minimization problem due to the coupling of the on / off state setting of the RAU to the consolidation of virtual machines in the CU. Contents of the invention [0003] The technical problem to be solved by the present invention is to realize a more reasonable, effective and reliable optimization method for reducing the total energ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W52/02
CPCH04W52/0203H04W52/0206Y02D30/70
Inventor 余诺
Owner ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
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