CN103607729A - A base station power self-optimization method - Google Patents
A base station power self-optimization method Download PDFInfo
- Publication number
- CN103607729A CN103607729A CN201310571557.6A CN201310571557A CN103607729A CN 103607729 A CN103607729 A CN 103607729A CN 201310571557 A CN201310571557 A CN 201310571557A CN 103607729 A CN103607729 A CN 103607729A
- Authority
- CN
- China
- Prior art keywords
- power
- base station
- signal intensity
- measurement report
- optimization
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a base station power self-optimization method. According to the method, a measurement report sent by a mobile terminal positioned at the edge of a housing estate, especially a measurement report during housing estate switching, as for measurement report information before the switching, in the information, existence of at least one co-frequency housing estate, of which the signal intensity is greater that the signal intensity of the adjacent housing estate is required. Statistical analysis is then carried out on the information. According to the statistical values, the optimization of power of sites of housing estates is determined, and at the same time, a maximum value and a minimum value of the power of the sites are set to constrain the adjusting of site power. The base station power self-optimization method of the invention can automatically optimize the power of a base station or output power optimization suggestions according to the signal intensity of the measurement report of an edge UE according to the base station, so that the power carried out by optimization network optimization personnel is provided with convenience, and the base station power self-optimization method can save much manpower and material resources and improve the performance of a mobile network.
Description
Technical field
The invention belongs to electronic communication field, relate in particular to a kind of base station power self-organization method.
Background technology
The base station power configuration of existing mobile communication system, before network design, by professional network planning personnel, carry out emulation or calculate the initial configuration power of each base station, then by the nearly step of drive test, power optimization is carried out in base station, adjusted and cover and weak overlay area.Network is paid Hou, operator and is added up by method and the KPI of drive test by network optimization engineer, and the base station power of having installed is optimized, and improves the combination property of network.
The fast development of nearly 20 years of mobile communication process, corresponding industry is mature on the whole, but still can not meet the demand of people to mobile service, and current people are mainly reflected in mobile data services the demand of wireless traffic.Developing rapidly of this demand driving mobile broadband and the Internet, increases substantially to the demand of mobile capacity, and this demand is more than the twice of traditional fixed network capacity requirement.Under limited bandwidth, for a nearly step meets the demand of user to wireless network, dispose the trend that a large amount of base stations is future mobile communications network Development, therefore according to present network optimized approach, need to drop into a large amount of man power and materials.
Current conventional optimizing power method, the networking initial stage mainly adopts road detector to carry out signal strength measurement to weak overlay area, then by test machine, carries out network insertion, and data are optimized, by optimization data, carry out base station power optimization, increase or reduce the transmitting power of base station.In commercial stage, by analyzing the KPI data of network, analyze the interference profile of network, for crossing overlay area, reduce the power of base station.
The base station power optimization of prior art, after the quantity of base station is doubled and redoubled, need to consume a large amount of man power and materials, adopts artificial optimization to follow engineers and technicians' technical capability relevant simultaneously, therefore of low quality to the optimization of base station power.
Summary of the invention
The object of the present invention is to provide a kind of base station self-organization method, be intended to improve quality, reduction network operation cost, the raising network performance that base station power is optimized.
The present invention is achieved in that a kind of base station self-organization method comprises: the common-frequency cell signal intensity in the measurement report of statistics edge customer; The statistical value that obtains the common-frequency cell signal intensity in the measurement report of edge customer is reported to network optimization center or network management center; Setting statistical value optimization or the corresponding thresholding reporting and power adjusts interval.Concrete steps are as follows:
Common-frequency cell signal intensity in the measurement report of step 1, statistics edge customer.
In user's measurement report, homogeneous-frequency adjacent-domain signal strength signal intensity is greater than this community, supposes that this cell signal strength is Q
this, in measurement report, the strongest homogeneous-frequency adjacent-domain signal strength signal intensity is Q
adjacentif the average of the signal strength signal intensity of this Cell Edge User of long-time statistical is
, variance is σ
q 2if average and variance are greater than predefined thresholding, this website carries out power adjustment preparation, or carries out power adjustment.
Step 2, by the statistical value of the common-frequency cell signal intensity in edge user's measurement report, the average obtaining and variance are reported to network optimization center or network management center, by network optimization center or network management center, determined the power optimization of website.
Step 3, setting statistical value optimization or the corresponding thresholding reporting and power are adjusted interval.
Further, power decreasing needs the cutting off rate and the handover success rate that with reference to weak covering, cause.
Further, for the measurement report information before switching, in these information, require the signal strength signal intensity that at least exists to be greater than this community with neighbor cell signal intensity frequently.
Further, for guarantee that website power adjusts according to reliably, the statistical information sample of collection is abundant.
effect gathers
A kind of base station power self-organization method of the present invention, can be according to this base station according to the signal strength signal intensity of the measurement report of edge UE, the power of Automatic Optimal base station, or the suggestion of optimization output power, be convenient to network optimization personnel and carry out power optimization, this invention can be saved a lot of manpower and materials, improves mobile network's performance.
Accompanying drawing explanation
Fig. 1 is the base station power self-optimizing flow chart that the embodiment of the present invention provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Fig. 1 shows base station power self-optimizing flow process of the present invention, and as shown in the figure, the present invention is achieved in that a kind of base station self-organization method comprises:
S101: the common-frequency cell signal intensity in the measurement report of statistics edge customer;
S102: the statistical value that obtains the common-frequency cell signal intensity in the measurement report of edge customer is reported to network optimization center or network management center;
S103: set statistical value optimization or the corresponding thresholding reporting and power and adjust interval.
Concrete steps are as follows:
Common-frequency cell signal intensity in the measurement report of step 1, statistics edge customer.
In user's measurement report, homogeneous-frequency adjacent-domain signal strength signal intensity is greater than this community, supposes that this cell signal strength is Q
this, in measurement report, the strongest homogeneous-frequency adjacent-domain signal strength signal intensity is Q
adjacentif the average of the signal strength signal intensity of this Cell Edge User of long-time statistical is
, variance is σ
q 2if average and variance are greater than predefined thresholding, this website carries out power adjustment preparation, or carries out power adjustment.
Step 2, by the statistical value of the common-frequency cell signal intensity in edge user's measurement report, the average obtaining and variance are reported to network optimization center or network management center, by network optimization center or network management center, determined the power optimization of website.
Step 3, setting statistical value optimization or the corresponding thresholding reporting and power are adjusted interval.
Further, power decreasing needs the cutting off rate and the handover success rate that with reference to weak covering, cause.
Further, for the measurement report information before switching, in these information, require the signal strength signal intensity that at least exists to be greater than this community with neighbor cell signal intensity frequently.
Further, for guarantee that website power adjusts according to reliably, the statistical information sample of collection is abundant.
Although above-mentioned, by reference to the accompanying drawings the specific embodiment of the present invention is described; but be not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various modifications that performing creative labour can make or distortion still within protection scope of the present invention.
Claims (5)
1. a base station power self-organization method, is characterized in that, described base station power self-organization method comprises: the common-frequency cell signal intensity in the measurement report of statistics edge customer; The statistical value that obtains the common-frequency cell signal intensity in the measurement report of edge customer is reported to network optimization center or network management center; Setting statistical value optimization or the corresponding thresholding reporting and power adjusts interval.
2. base station power self-organization method as claimed in claim 1, is characterized in that, concrete steps are as follows:
Common-frequency cell signal intensity in the measurement report of step 1, statistics edge customer;
In user's measurement report, homogeneous-frequency adjacent-domain signal strength signal intensity is greater than this community, supposes that this cell signal strength is Q
this, in measurement report, the strongest homogeneous-frequency adjacent-domain signal strength signal intensity is Q
adjacentif the average of the signal strength signal intensity of this Cell Edge User of long-time statistical is
, variance is σ
q 2if average and variance are greater than predefined thresholding, this website carries out power adjustment preparation, or carries out power adjustment;
Step 2, by the statistical value of the common-frequency cell signal intensity in edge user's measurement report, the average obtaining and variance are reported to network optimization center or network management center, by network optimization center or network management center, determined the power optimization of website;
Step 3, setting statistical value optimization or the corresponding thresholding reporting and power are adjusted interval.
3. base station power self-organization method as claimed in claim 1, is characterized in that, power decreasing needs the cutting off rate and the handover success rate that with reference to weak covering, cause.
4. base station power self-organization method as claimed in claim 1, is characterized in that, for the measurement report information before switching, in these information, requires the signal strength signal intensity that at least exists to be greater than this community with neighbor cell signal intensity frequently.
5. base station power self-organization method as claimed in claim 1, is characterized in that, for guarantee that website power adjusts according to reliably, the statistical information sample of collection is abundant.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310571557.6A CN103607729A (en) | 2013-11-14 | 2013-11-14 | A base station power self-optimization method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310571557.6A CN103607729A (en) | 2013-11-14 | 2013-11-14 | A base station power self-optimization method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN103607729A true CN103607729A (en) | 2014-02-26 |
Family
ID=50125924
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310571557.6A Pending CN103607729A (en) | 2013-11-14 | 2013-11-14 | A base station power self-optimization method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103607729A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108513311A (en) * | 2017-02-24 | 2018-09-07 | 中国移动通信集团北京有限公司 | A kind of cell power optimization method and device |
CN112039614A (en) * | 2020-09-07 | 2020-12-04 | Oppo广东移动通信有限公司 | Signal intensity calculation method and device, terminal and storage medium |
-
2013
- 2013-11-14 CN CN201310571557.6A patent/CN103607729A/en active Pending
Non-Patent Citations (2)
Title |
---|
张洪丽: ""基于功率控制参数设定的GSM无线网络优化"", 《电信工程技术与标准化》 * |
黄标,彭木根: "《无线网络规划与优化导论》", 30 November 2011 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108513311A (en) * | 2017-02-24 | 2018-09-07 | 中国移动通信集团北京有限公司 | A kind of cell power optimization method and device |
CN108513311B (en) * | 2017-02-24 | 2021-06-04 | 中国移动通信集团北京有限公司 | Cell power optimization method and device |
CN112039614A (en) * | 2020-09-07 | 2020-12-04 | Oppo广东移动通信有限公司 | Signal intensity calculation method and device, terminal and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2717609B1 (en) | Method and apparatus for managing coverage optimization | |
US11606760B2 (en) | Dynamic power adjustment for small cells | |
CN102547768B (en) | The implementation method of SON and device in distributed Femto base station system | |
CN102958082A (en) | Network optimization analysis method and system | |
CN105163344A (en) | Method for positioning TD-LTE intra-system interference | |
CN103686973A (en) | Power adjustment method and device of remote radio unit | |
CN101790229B (en) | Control method and system for pilot frequency power of home base station | |
CN102547774B (en) | Wireless indoor optimizing method and device | |
CN104486772A (en) | End-to-end multi-dimension normalization LTE (long term evolution) network evaluation optimization system | |
CN102612057A (en) | Reporting method and reporting system of position information | |
CN103108341A (en) | Method and device based on measurement report data and for constructing network uploading interference matrix | |
CN103596650A (en) | Wireless network information management method and network equipment | |
CN104168586A (en) | LTE inter-network interference investigation method and device | |
TW201844060A (en) | Data driven management method and apparatus for base stations | |
CN101026881B (en) | Method for adjusting community configured information for mobile communication network | |
CN103607729A (en) | A base station power self-optimization method | |
CN102143502A (en) | Coverage self-optimization method and home base station (HBS) for realizing same | |
CN104754609A (en) | Network optimization method and system based on TD-LTE (Time Division-Long Term Evolution) and WLAN (Wireless Local Area Network) | |
CN103813384A (en) | Method and device for balancing business in wireless network cell set | |
CN104412672A (en) | A network node and a method therein for controlling uplink power control | |
CN105530692A (en) | Downlink sending power control method and device | |
CN103200624B (en) | Self adaptation uplink enhancement method and radio network controller | |
CN103249128B (en) | The method of a kind of FEMTO base station self-adaptative adjustment power and device | |
CN104270771B (en) | A kind of small base station networking method for electric power real-time Communication for Power | |
CN102781022B (en) | Method for automatically optimizing parametersamongdouble-frequency network layers |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB03 | Change of inventor or designer information |
Inventor after: Yao Ruxian Inventor after: Zhou Yuan Inventor after: Zheng Chuangming Inventor before: Yao Ruxian Inventor before: Zheng Chuangming |
|
COR | Change of bibliographic data | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140226 |
|
RJ01 | Rejection of invention patent application after publication |