CN117440491B - Method for inhibiting background noise lifting under home base station - Google Patents

Method for inhibiting background noise lifting under home base station Download PDF

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Publication number
CN117440491B
CN117440491B CN202311767483.3A CN202311767483A CN117440491B CN 117440491 B CN117440491 B CN 117440491B CN 202311767483 A CN202311767483 A CN 202311767483A CN 117440491 B CN117440491 B CN 117440491B
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dru
noise
background noise
base station
adjusted
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CN117440491A (en
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薛巧凤
孙腾杰
赖天历
聂绍龙
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Shenzhen Jiaxian Communication Technology Co ltd
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Shenzhen Jiaxian Communication Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/52TPC using AGC [Automatic Gain Control] circuits or amplifiers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application provides a method for inhibiting bottom noise lifting under a home base station, which comprises the following steps: calculating the power of a received signal to obtain single noise floor of a system bandwidth; and calculating the average value of the base noise of the system bandwidth within a period of time, and if the average value of the base noise is larger than a preset base noise lifting threshold of the system and is determined by the demodulation performance of the system, performing uplink GAIN adjustment on the DRU below the base station, namely adjusting the UL GAIN of the DRU. The method and the device can effectively reduce the influence of the bottom noise lifting on the demodulation performance of the system caused by the combination of multiple DRU, and meet the service requirement of the user with low signal-to-noise ratio under the condition of ensuring the QOS service requirement of the user with high signal-to-noise ratio.

Description

Method for inhibiting background noise lifting under home base station
Technical Field
The application belongs to the technical field of 5G communication, and particularly relates to a method for inhibiting bottom noise lifting under a home base station.
Background
A low cost wireless coverage solution for indoor deep coverage that is different from conventional home base station systems. As shown in fig. 1, DRU equipment is used as active equipment of a UE access base station, thermal noise exists in electronic components in the operation process, and as a plurality of DRUs can be connected under an access control unit, the hierarchical depth of the system is large, the output noise of a home base station pool can be amplified by the generation and transmission of thermal noise at each level, so that the noise at the bottom of the base station is greatly raised, the capacity of the system is lost, and the network quality is reduced.
Disclosure of Invention
The embodiment of the application provides a method and a method for inhibiting bottom noise lifting under a home base station, which aim to solve the problem that network quality is reduced due to thermal noise transmission and superposition of DRU equipment of the home base station (low-cost wireless coverage solution system), and can effectively reduce the influence of bottom noise lifting on system performance.
In a first aspect, an embodiment of the present application provides a method for suppressing lifting of noise under a home base station, including the following steps: calculating the power of a received signal to obtain single noise floor of a system bandwidth; and calculating the average value of the base noise of the system bandwidth within a period of time, and if the average value of the base noise is larger than a preset base noise lifting threshold of the system and is determined by the demodulation performance of the system, performing uplink GAIN adjustment on the DRU below the base station, namely adjusting the UL GAIN of the DRU.
Further, the single noise floor calculation formula is as follows:
wherein K is Boltzmann constant, 1.38X10-23J/K; t is Kelvin temperature, and the normal temperature is 290K; w is the signal bandwidth and NF is the receiver noise figure.
Further, the average noise floor algorithm adopts a window sliding mode, and the specific formula is as follows
Wherein, the base station calculates the average value of the bottom noise on all RBs on the time slot tContinuously calculating M time slots; an RB is 12 subcarriers contiguous in frequency, and one slot (slot) in the time domain is called one RB.
If the sliding window is 1, if the average background noise before M isThe noise floor of M+1 update is
Further, the base station sends the selected DRU and the adjustment amount to the DRU through the channel between the OAM and the DRU, and automatically controls the uplink gain factor of the DRU device.
Further, the determination method is that the preset system background noise isIf->The uplink gain of the system needs to be adjusted, and the difference value needs to be adjusted is +.>Otherwise, not adjusting.
Further, RSSI values of scheduled UEs are stored, the RSSIs are ordered well in a mode of from big to small, DRU where the first K UEs with good signal conditions are located are selected as DRU needing to be adjusted, and uplink gain values needing to be adjusted of each DRU are selectedThe OAM of the base station sends the DRU and the adjustment quantity to be adjusted to the DRU equipment through a pre-established management channel, and the DRU and the adjustment quantity are adjusted.
Further, the DRU selects the DRU where the UE whose signal condition exceeds a certain threshold is located according to the SINR or RSSI reported by the air interface measurement.
In a second aspect, a computer-readable storage medium stores a computer program which, when executed by a processor, implements a method as in the first aspect.
Compared with the prior art, the embodiment of the application has the beneficial effects that: the influence of the bottom noise lifting on the demodulation performance of the system caused by the combination of multiple DRU can be effectively reduced, and the service requirement of the user with low signal-to-noise ratio is met under the condition of ensuring the QOS service requirement of the user with high signal-to-noise ratio.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram of the connection relationship of the device structure provided in the background of the present application;
FIG. 2 is a flow chart of a method of providing no load in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of a method for providing a load according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
DRU: distribute Remote Unit a distributed distal end member,
QOS: quality Of Service quality of service,
SINR: signal Interference Noise Ratio signal-to-interference-plus-noise ratio,
RSSI: received Signal Strength Indicator receives an indication of the strength of the signal,
OAM: operation Administration and Maintenance operation and maintenance management;
as shown in fig. 2, the embodiment of the application provides a method for suppressing bottom noise rise under a home base station, which includes the following steps: calculating the power of a received signal to obtain single noise floor of a system bandwidth; and calculating the average value of the base noise of the system bandwidth within a period of time, and if the average value of the base noise is larger than a preset base noise lifting threshold of the system and is determined by the demodulation performance of the system, performing uplink GAIN adjustment on the DRU below the base station, namely adjusting the UL GAIN of the DRU.
The modulation performance decision of the system herein refers to that the demodulation algorithms adopted by different receivers are different, and tolerance thresholds to the base noise are also different, for example, when a base noise rises by 5dB, a certain receiver can still demodulate data with MCS of 27, and another receiver may only demodulate data with MCS of 26. Setting according to fixed parameters of the product.
In particular, the control unit, when in idle,
1) The single background noise calculation formula is as follows:
wherein K is Boltzmann constant, 1.38X10 -23 J/K; t is Kelvin temperature, and the normal temperature is 290K; w is the signal bandwidth and NF is the receiver noise figure.
2) The average noise floor algorithm adopts a window sliding mode, and the specific formula is that
Wherein, the base station calculates the average value of the bottom noise on all RBs on the time slot t
Continuously calculating M time slots;
3) If the sliding window is 1, if the average background noise before M isThe noise floor of M+1 update is
4) The judgment method is that the preset system background noise isIf->The uplink gain of the system needs to be adjusted, and the difference value needs to be adjusted is +.>Otherwise, not adjusting.
As shown in fig. 3, when loading, the base station sends the selected DRU and the adjustment amount to the DRU through the channel between the OAM and the DRU, and automatically controls the uplink gain factor of the DRU device. And the DRU selects the DRU where the UE with the signal condition exceeding a certain threshold is located according to the SINR or RSSI reported by the air interface measurement. Storing RSSI values of the scheduled UE, sorting the RSSI values according to the mode of the RSSI from large to small, and selecting the front with better signal conditionThe DRU where the K UEs are located is used as the DRU needing to be adjusted, and the uplink gain value of each DRU needing to be adjustedThe OAM of the base station sends the DRU and the adjustment quantity to be adjusted to the DRU equipment through a pre-established management channel, and the DRU and the adjustment quantity are adjusted.
The spectral density of thermal noise is understood to be the base noise in the 1Hz bandwidth, and is then pn=10×lg (KTW)
=10*lg(1.38×10-23 J/K*290 K * 1Hz)
= -203.9772292dBW
=-173.9772292dBm
Approximately-174 dBm, i.e., the spectral density of thermal noise is approximately-174 dBm.
And calculating average background noise of the system bandwidth within a period of time, and if the average background noise is larger than a preset background noise lifting threshold (determined by the demodulation performance of the system), performing uplink GAIN adjustment on the DRU below the base station, namely adjusting the UL GAIN of the DRU.
The average background noise updating method comprises the following steps: the window sliding mode is adopted.
The adjusting method comprises the following steps: the base station sends the selected DRU and the adjustment quantity to the DRU through a channel between the OAM and the DRU, and the uplink gain factor of the DRU equipment is automatically controlled.
Method for selecting DRUs: and selecting the DRU where the UE with the signal condition exceeding a certain threshold is located according to the SINR or RSSI reported by the air interface measurement.
Determining an adjustment amount: the difference between the cumulative average value of the current period of time and the expected background noise rise threshold is used as the adjusted total uplink GAIN, and then an average method is adopted to map to the UL_GAIN value which needs to be adjusted for each DRU to be adjusted.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (2)

1. A method for inhibiting bottom noise lifting under a home base station comprises the following steps: calculating the power of the received signal to obtain the average background noise of the system bandwidth; calculating average background noise of a system bandwidth within a period of time, and if the average background noise is larger than a preset system background noise lifting threshold, determining by demodulation performance of a system, performing uplink GAIN adjustment on a DRU below a base station, namely adjusting UL GAIN of the DRU; the single background noise calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein K is Boltzmann constant, 1.38X10 -23 J/K; t is Kelvin temperature, and the normal temperature is 290K; w is the signal bandwidth, NF is the noise figure of the receiver; the average noise floor algorithm adopts a window sliding mode, and the specific formula is +.>Wherein the base station calculates the average value of the noise floor on all RBs over the time slot t +.>Continuously calculating M time slots; if the sliding window is 1, if the average noise floor before M is +.>Then the floor noise of the M+1 update is +.>The method comprises the steps of carrying out a first treatment on the surface of the It is characterized in that the method comprises the steps of,
the base station sends the selected DRU and the adjustment quantity to the DRU through a channel between the OAM and the DRU, and automatically controls an uplink gain factor of DRU equipment; the judgment method is that the preset system background noise isIf->The uplink gain of the system needs to be adjusted, and the difference value needs to be adjusted is +.>Otherwise, not adjusting; storing RSSI values of scheduled UE, sorting according to the mode of RSSI from large to small, selecting DRU where the first K UEs with good signal conditions are located as DRU needing to be adjusted, and uplink gain value of each DRU needing to be adjusted->The OAM of the base station sends the DRU and the adjustment quantity to be adjusted to DRU equipment through a pre-established management channel, and adjusts, the DRU selects the DRU where the UE with the signal condition exceeding a certain threshold is located according to the SINR or RSSI reported by the air interface measurement,
and carrying out primary background noise calculation at fixed time intervals, accumulating background noise of all RBs to the same buffer area after the time slot is ended, and comparing predicted values with actual values by using data of the buffer area when a new time slot starts, and judging whether background noise lifting is needed according to error conditions so as to realize the frequency reduction of background noise calculation.
2. A computer readable storage medium storing a computer program which, when executed by a processor, implements the method of claim 1.
CN202311767483.3A 2023-12-21 2023-12-21 Method for inhibiting background noise lifting under home base station Active CN117440491B (en)

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CN103442374A (en) * 2013-07-12 2013-12-11 北京神州泰岳软件股份有限公司 Method and system for processing interference signals
CN103647609A (en) * 2013-12-09 2014-03-19 中国联合网络通信集团有限公司 Method of restraining base station bottom noise and equipment thereof
CN106686713A (en) * 2015-11-10 2017-05-17 中兴通讯股份有限公司 Method and device for controlling uplink interference
CN110572224A (en) * 2019-08-22 2019-12-13 三维通信股份有限公司 Method, device, system and readable storage medium for reducing base station receiving background noise
CN113225677A (en) * 2021-06-04 2021-08-06 中国联合网络通信集团有限公司 Method and device for positioning interference source of repeater
CN116887315A (en) * 2023-08-10 2023-10-13 北京东土拓明科技有限公司 5G-oriented indoor and outdoor interference collaborative intelligent optimization method and device

Family Cites Families (2)

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Publication number Priority date Publication date Assignee Title
US9750034B2 (en) * 2013-12-20 2017-08-29 Cambium Networks Limited Apparatus and method for reducing interference in a wireless communication system
FR3060922B1 (en) * 2016-12-19 2019-01-25 Thales COMMUNICATION METHOD AND SYSTEM

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103442374A (en) * 2013-07-12 2013-12-11 北京神州泰岳软件股份有限公司 Method and system for processing interference signals
CN103647609A (en) * 2013-12-09 2014-03-19 中国联合网络通信集团有限公司 Method of restraining base station bottom noise and equipment thereof
CN106686713A (en) * 2015-11-10 2017-05-17 中兴通讯股份有限公司 Method and device for controlling uplink interference
CN110572224A (en) * 2019-08-22 2019-12-13 三维通信股份有限公司 Method, device, system and readable storage medium for reducing base station receiving background noise
CN113225677A (en) * 2021-06-04 2021-08-06 中国联合网络通信集团有限公司 Method and device for positioning interference source of repeater
CN116887315A (en) * 2023-08-10 2023-10-13 北京东土拓明科技有限公司 5G-oriented indoor and outdoor interference collaborative intelligent optimization method and device

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