CN109348065B - Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior - Google Patents

Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior Download PDF

Info

Publication number
CN109348065B
CN109348065B CN201811427054.0A CN201811427054A CN109348065B CN 109348065 B CN109348065 B CN 109348065B CN 201811427054 A CN201811427054 A CN 201811427054A CN 109348065 B CN109348065 B CN 109348065B
Authority
CN
China
Prior art keywords
mobile phone
electromagnetic radiation
software
message interval
radiation intensity
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.)
Active
Application number
CN201811427054.0A
Other languages
Chinese (zh)
Other versions
CN109348065A (en
Inventor
杨万春
郑利洋
彭艳芬
曹春红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiangtan University
Original Assignee
Xiangtan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Xiangtan University filed Critical Xiangtan University
Priority to CN201811427054.0A priority Critical patent/CN109348065B/en
Publication of CN109348065A publication Critical patent/CN109348065A/en
Application granted granted Critical
Publication of CN109348065B publication Critical patent/CN109348065B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08—Measuring electromagnetic field characteristics
    • G01R29/0864—Measuring electromagnetic field characteristics characterised by constructional or functional features
    • G01R29/0892—Details related to signal analysis or treatment; presenting results, e.g. displays; measuring specific signal features other than field strength, e.g. polarisation, field modes, phase, envelope, maximum value
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/147—Network analysis or design for predicting network behaviour
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/24—Arrangements for testing

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The invention discloses a mobile phone electromagnetic radiation prediction method based on QQ chat interactive behaviors, which comprises the steps of calculating the duty ratio of a mobile phone sending signal by analyzing the probability distribution of message interval time of mobile phone QQ software, measuring the maximum electromagnetic radiation intensity of a mobile phone by using a spectrum analyzer, and predicting the average electromagnetic radiation intensity of the mobile phone by combining the duty ratio. The invention can quickly and accurately predict and evaluate the electromagnetic radiation intensity generated by the QQ chat interaction behavior of the mobile phone, has greater reference value for the electromagnetic radiation research of the mobile phone, and has certain social benefit.

Description

Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior
Technical Field
The invention relates to a method for predicting electromagnetic radiation of a mobile phone based on QQ chat interactive behaviors.
Background
With the development of communication technology and internet technology, smart phones have become one of the highest-use products in today's society. The smart phone brings convenience to life of people, and meanwhile, the smart phone is widely concerned because electromagnetic radiation generated by the smart phone has potential threat to human bodies. When people use the smart phone, the QQ chatting software is commonly used for interacting with friends, but in the process of using QQ chatting, wireless signals are sent out through electromagnetic waves to generate electromagnetic radiation. However, there is currently no method for predicting the electromagnetic radiation generated by the interaction of QQ chat.
Aiming at the defects of the prior art, the patent provides a mobile phone electromagnetic radiation prediction method based on QQ chat interactive behaviors. The method considers the influence of QQ chat interactive behavior on the electromagnetic radiation intensity of the mobile phone, establishes a QQ chat interactive behavior model to calculate the duty ratio of a mobile phone signal by analyzing QQ chat data, and calculates the average electromagnetic radiation intensity of the mobile phone by combining the maximum electromagnetic radiation intensity of the mobile phone. Experiments show that the prediction method provided by the invention can accurately predict the average electromagnetic radiation intensity of the mobile phone.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for predicting the electromagnetic radiation of a mobile phone based on QQ chat interactive behaviors, which comprises the following steps:
1) based on QQ chat interactive behaviors, establishing probability distribution P (tau) of message interval time tau of mobile phone QQ software, and obtaining relevant parameter values in P (tau) through chat records of the mobile phone QQ software;
2) capturing a data packet sent by the mobile phone by packet capturing software, and calculating the proportion R of data traffic sent by QQ software of the mobile phone in all data traffic sent by the mobile phone and the average sending time t of QQ messagesm；
3) According to the probability distribution P (tau) of the message interval time of the mobile phone QQ software obtained in the step 1) and the average sending time t of R, QQ messages of the proportion of the data traffic sent by the mobile phone QQ software in all the data traffic sent by the mobile phone obtained in the step 2)mCalculating the duty ratio D of a signal sent by the mobile phone;
4) measuring maximum electromagnetic radiation intensity E of mobile phone by using spectrum analyzermax；
5) According to the duty ratio D of the mobile phone sending signal obtained in the step 3) and the maximum electromagnetic radiation intensity E of the mobile phone obtained in the step 4)maxPredicting the average electromagnetic radiation intensity E of the mobile phoneavg。
In the above method for predicting electromagnetic radiation of a mobile phone based on the QQ chat interaction model, in step 1), the probability distribution of the message interval τ of the QQ software of the mobile phone is as follows:
Figure BDA0001881879220000011
in the above formula, P (τ) represents the probability distribution of the message interval time τ of the mobile phone QQ software, τ is a discrete random variable representing the message interval time of the mobile phone QQ software in units of s, and μ represents the adjacent message interval ratio
Figure BDA0001881879220000021
Logarithmic mean of, τiDenotes the ith message interval time in units of s, sigma denotes the adjacent message interval ratio
Figure BDA0001881879220000022
T denotes the function segmentation limit with a value of 6.5929, k denotes the normalization coefficient with a value of 0.2207, p denotes the probabilityA tuning parameter having a value of 0.3675; the values of the parameters μ and σ of the probability distribution P (τ) are obtained by chatting the mobile phone QQ software.
In the above method for predicting electromagnetic radiation of a mobile phone based on the QQ chat interactive model, in step 2), the data traffic sent by the QQ software of the mobile phone accounts for the following proportion in all data traffic sent by the mobile phone:
Figure BDA0001881879220000023
in the above formula, R represents the proportion of the data traffic sent by the QQ software of the mobile phone in all the data traffic sent by the mobile phone; BytesSent represents the number of bytes of the data packet sent by the QQ software of the mobile phone in the process of capturing the data packet, and the unit is Byte; BytesSentAll represents the total Byte number of a data packet sent by a mobile phone in the process of capturing the data packet, and the unit is Byte;
the average transmission time of the QQ message is:
Figure BDA0001881879220000024
in the above formula, tmRepresents the average sending time of the QQ message, and the unit is s; BytesSent represents the number of bytes of the data packet sent by the QQ software of the mobile phone in the process of capturing the data packet, and the unit is Byte; the pktsent represents the number of data packets sent by the mobile phone QQ software in the process of capturing the data packets; the Rate represents the network transmission Rate of the mobile phone and has the unit of Byte/s.
In the method for predicting electromagnetic radiation of a mobile phone based on the QQ chat interaction model, in step 3), the duty ratio of a signal sent by the mobile phone may be represented as:
Figure BDA0001881879220000025
in the above formula, D represents the duty ratio of the mobile phone transmission signal; p (tau) represents the probability distribution of the message interval time tau of the mobile phone QQ software; tau is of discrete typeThe machine variable represents the message interval time of the mobile phone QQ software, and the unit is s; t is tmRepresents the average sending time of the QQ message, and the unit is s; and R represents the proportion of the data traffic sent by the QQ software of the mobile phone in all the data traffic sent by the mobile phone.
In the method for predicting electromagnetic radiation of a mobile phone based on the QQ chat interactive behavior, in step 4), the method for measuring the maximum electromagnetic radiation intensity of the mobile phone by using the spectrum analyzer includes:
setting the spectrum analyzer into a max-hold measurement mode, measuring the mobile phone for 6 minutes to obtain the maximum electromagnetic radiation intensity E of the mobile phonemaxThe unit is V/m.
In the method for predicting electromagnetic radiation of a mobile phone based on the QQ chat interaction model, in step 5), the average electromagnetic radiation intensity of the mobile phone is as follows:
Figure BDA0001881879220000026
in the above formula, EavgThe average electromagnetic radiation intensity of the mobile phone is expressed in a unit of V/m; emaxThe maximum electromagnetic radiation intensity of the mobile phone is expressed in a unit of V/m; and D represents the duty ratio of the signal transmitted by the mobile phone.
The invention has the beneficial effects that: the influence of QQ chat interactive behaviors on the average electromagnetic radiation intensity of the mobile phone is considered, a QQ chat interactive behavior model is established by analyzing chat data generated by QQ software, a prediction method of the average electromagnetic radiation intensity is provided on the basis of the model, the average electromagnetic radiation intensity of the mobile phone can be rapidly and accurately predicted and evaluated, and the prediction method has great reference value for research on the electromagnetic radiation exposure condition of an individual and has certain social benefit.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments. The present embodiment is performed on the premise of the present disclosure, and detailed implementation procedures are given, but the scope of the present disclosure is not limited to the following embodiments.
The measurement object of this embodiment is a Samsung S7Edge mobile phone, the implementation place is an indoor environment, the measurement devices are a portable spectrum analyzer Keysight field fox N9918A and a periodic logarithmic antenna HyperLOG 60180, and the parameter settings of the spectrum analyzer are shown in table 1. During measurement, the mobile phone is connected into a wireless local area network and is placed at a position 30cm away from the antenna for continuous measurement. And simultaneously capturing network data packets through a D-Link wireless network card by using Omnipeek software.
TABLE 1 Spectrum Analyzer parameter settings
Figure BDA0001881879220000031
The invention provides a method for predicting electromagnetic radiation of a mobile phone based on QQ chat interactive behaviors, which comprises the following steps:
1) based on QQ chat interactive behaviors, establishing probability distribution P (tau) of message interval time tau of mobile phone QQ software, and obtaining relevant parameter values in P (tau) through chat records of the mobile phone QQ software;
2) capturing a data packet sent by the mobile phone by packet capturing software, and calculating the proportion R of data traffic sent by QQ software of the mobile phone in all data traffic sent by the mobile phone and the average sending time t of QQ messagesm；
3) According to the probability distribution P (tau) of the message interval time of the mobile phone QQ software obtained in the step 1) and the average sending time t of R, QQ messages of the proportion of the data traffic sent by the mobile phone QQ software in all the data traffic sent by the mobile phone obtained in the step 2)mCalculating the duty ratio D of a signal sent by the mobile phone;
4) measuring maximum electromagnetic radiation intensity E of mobile phone by using spectrum analyzermax；
5) According to the duty ratio D of the mobile phone sending signal obtained in the step 3) and the maximum electromagnetic radiation intensity E of the mobile phone obtained in the step 4)maxPredicting the average electromagnetic radiation intensity E of the mobile phoneavg。
In the step 1), the probability distribution P (τ) of the message interval time τ of the mobile phone QQ software is:
Figure BDA0001881879220000032
in the above formula, P (τ) represents the probability distribution of the message interval time τ of the mobile phone QQ software, τ is a discrete random variable representing the message interval time of the mobile phone QQ software in units of s, and μ represents the adjacent message interval ratio
Figure BDA0001881879220000041
Logarithmic mean of, τiDenotes the ith message interval time in units of s, sigma denotes the adjacent message interval ratio
Figure BDA0001881879220000042
T denotes the function segmentation limit with a value of 6.5929, k denotes the normalization coefficient with a value of 0.2207, p denotes the probability adjustment parameter with a value of 0.3675; since μ -0.6339 and σ -1.9279 are obtained from the chat log of the mobile phone QQ software, the final expression of the probability distribution of the message interval time τ of the mobile phone QQ software is:
Figure BDA0001881879220000043
in the step 2), calculating the proportion R of the data traffic sent by the QQ software of the mobile phone in all the data traffic sent by the mobile phone and the average sending time t of the QQ messagemThe method is implemented specifically as follows:
a. capturing a data packet sent by a mobile phone by using packet capturing software Omnipeek;
b. deriving flow statistic information after the capturing is finished, and obtaining total Byte number (16846021 Byte) of data packet sent by mobile phone in the process of capturing data packet, and network transmission Rate (7.5 × 10) of mobile phone6Byte/s, the number of bytes of a data packet transmitted by the mobile phone QQ software, namely BytesSent, is 1608795 bytes, and the number of transmitted data packets, namely PktsSent, is 1265;
c. based on the above data, can obtain
Figure BDA0001881879220000044
Figure BDA0001881879220000045
In the step 3), the duty ratio D of the signal sent by the mobile phone is calculated, and the calculation process is as follows:
Figure BDA0001881879220000046
in the step 4), the maximum electromagnetic radiation intensity E of the mobile phone is measured by using a spectrum analyzermaxThe measurement method is as follows:
setting a spectrum analyzer into a max-hold measuring mode, measuring the mobile phone by using the parameters shown in the table 1, wherein the measuring time is 6 minutes each time, and obtaining the maximum electromagnetic radiation intensity E of the mobile phonemax＝0.1486V/m。
In the step 5), the average electromagnetic radiation intensity E of the mobile phone is predictedavgThe calculation process is as follows:
Figure BDA0001881879220000047
this embodiment repeats the calculation for a plurality of times, and compares the calculation with the actual measurement value of the average electromagnetic radiation intensity of the mobile phone, so as to obtain the table shown in table 2.
TABLE 2 comparison of mean radiance calculation to measurement
Figure BDA0001881879220000051
The comparison of the data shows that the calculated value of the average electromagnetic radiation intensity of the mobile phone is not much different from the actual measured value, which shows that the method can realize the accurate prediction of the electromagnetic radiation of the mobile phone and simultaneously verifies the effectiveness of the method used by the invention.

Claims (6)

1. A method for predicting mobile phone electromagnetic radiation based on QQ chat interactive behavior is characterized by comprising the following steps:
1) based on QQ chat interactive behavior, establishing probability distribution P (tau) of message interval time tau of mobile phone QQ software, and obtaining parameters mu and sigma in P (tau) through chat records of mobile phone QQ software, wherein mu represents adjacent message interval ratio
Figure FDA0002496164280000011
Logarithmic mean of, τiDenotes the ith message interval time in units of s, sigma denotes the adjacent message interval ratio
Figure FDA0002496164280000012
Standard deviation of (d);
2) capturing a data packet sent by the mobile phone by packet capturing software, and calculating the proportion R of data traffic sent by QQ software of the mobile phone in all data traffic sent by the mobile phone and the average sending time t of QQ messagesm；
3) According to the probability distribution P (tau) of the message interval time of the mobile phone QQ software obtained in the step 1) and the average sending time t of R, QQ messages of the proportion of the data traffic sent by the mobile phone QQ software in all the data traffic sent by the mobile phone obtained in the step 2)mCalculating the duty ratio D of a signal sent by the mobile phone;
4) measuring maximum electromagnetic radiation intensity E of mobile phone by using spectrum analyzermax；
5) According to the duty ratio D of the mobile phone sending signal obtained in the step 3) and the maximum electromagnetic radiation intensity E of the mobile phone obtained in the step 4)maxPredicting the average electromagnetic radiation intensity E of the mobile phoneavg。
2. The method for predicting the electromagnetic radiation of the mobile phone based on the QQ chat interactive behavior as claimed in claim 1, wherein in the step 1), the probability distribution of the message interval time τ of the QQ software of the mobile phone is as follows:
Figure FDA0002496164280000013
in the above formula, P (τ) represents the probability distribution of the message interval time τ of the mobile phone QQ software, τ is a discrete random variable representing the message interval time of the mobile phone QQ software in units of s, and μ represents the adjacent message interval ratio
Figure FDA0002496164280000014
Logarithmic mean of, τiDenotes the ith message interval time in units of s, sigma denotes the adjacent message interval ratio
Figure FDA0002496164280000015
T denotes the function segmentation limit with a value of 6.5929, k denotes the normalization coefficient with a value of 0.2207, p denotes the probability adjustment parameter with a value of 0.3675; the values of the parameters μ and σ of the probability distribution P (τ) are obtained by chatting the mobile phone QQ software.
3. The method for predicting the electromagnetic radiation of the mobile phone based on the QQ chat interactive behavior of claim 1, wherein in the step 2), the data traffic sent by the QQ software of the mobile phone accounts for the following proportion of all the data traffic sent by the mobile phone:
Figure FDA0002496164280000016
in the above formula, R represents the proportion of the data traffic sent by the QQ software of the mobile phone in all the data traffic sent by the mobile phone; BytesSent represents the number of bytes of the data packet sent by the QQ software of the mobile phone in the process of capturing the data packet, and the unit is Byte; BytesSentAll represents the total Byte number of a data packet sent by a mobile phone in the process of capturing the data packet, and the unit is Byte;
the average transmission time of the QQ message is:
Figure FDA0002496164280000021
in the above formula, tmRepresents the average sending time of the QQ message, and the unit is s; BytesSent represents the number of bytes of the data packet sent by the QQ software of the mobile phone in the process of capturing the data packet, and the unit is Byte; the pktsent represents the number of data packets sent by the mobile phone QQ software in the process of capturing the data packets; the Rate represents the network transmission Rate of the mobile phone and has the unit of Byte/s.
4. The method for predicting the electromagnetic radiation of the mobile phone based on the QQ chat interactive behavior as claimed in claim 1, wherein in the step 3), the duty ratio of the mobile phone sending signal can be expressed as:
Figure FDA0002496164280000022
in the above formula, D represents the duty ratio of the mobile phone transmission signal; p (tau) represents the probability distribution of the message interval time tau of the mobile phone QQ software; tau is a discrete random variable and represents the message interval time of the mobile phone QQ software, and the unit is s; t is tmRepresents the average sending time of the QQ message, and the unit is s; and R represents the proportion of the data traffic sent by the QQ software of the mobile phone in all the data traffic sent by the mobile phone.
5. The method for predicting the electromagnetic radiation of the mobile phone based on the QQ chat interactive behavior in the step 4), wherein the method for measuring the maximum electromagnetic radiation intensity of the mobile phone by using the spectrum analyzer comprises the following steps:
setting the spectrum analyzer into a max-hold measurement mode, measuring the mobile phone for 6 minutes to obtain the maximum electromagnetic radiation intensity E of the mobile phonemaxThe unit is V/m.
6. The method for predicting electromagnetic radiation of mobile phone based on QQ chat interactive behavior as claimed in claim 1, wherein in step 5), the average electromagnetic radiation intensity of the mobile phone is:
Figure FDA0002496164280000023
in the above formula, EavgThe average electromagnetic radiation intensity of the mobile phone is expressed in a unit of V/m; emaxThe maximum electromagnetic radiation intensity of the mobile phone is expressed in a unit of V/m; and D represents the duty ratio of the signal transmitted by the mobile phone.
CN201811427054.0A 2018-11-27 2018-11-27 Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior Active CN109348065B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811427054.0A CN109348065B (en) 2018-11-27 2018-11-27 Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811427054.0A CN109348065B (en) 2018-11-27 2018-11-27 Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior

Publications (2)

Publication Number Publication Date
CN109348065A CN109348065A (en) 2019-02-15
CN109348065B true CN109348065B (en) 2020-12-25

Family

ID=65318429

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811427054.0A Active CN109348065B (en) 2018-11-27 2018-11-27 Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior

Country Status (1)

Country Link
CN (1) CN109348065B (en)

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8321525B2 (en) * 2007-11-27 2012-11-27 Loyalblocks Ltd. Method, device and system for creating a virtual local social network
CN101902807B (en) * 2010-07-05 2013-02-06 海能达通信股份有限公司 Terminal of digital mobile wireless transferring system, method for adjusting transmission power thereof and system thereof
US9519775B2 (en) * 2013-10-03 2016-12-13 Qualcomm Incorporated Pre-identifying probable malicious behavior based on configuration pathways
CN104749447B (en) * 2013-12-31 2018-02-02 中国移动通信集团广东有限公司 A kind of evaluation method and device of the electromagnetic radiation from environment of base station
US9710752B2 (en) * 2014-09-11 2017-07-18 Qualcomm Incorporated Methods and systems for aggregated multi-application behavioral analysis of mobile device behaviors
US10367677B2 (en) * 2016-05-13 2019-07-30 Telefonaktiebolaget Lm Ericsson (Publ) Network architecture, methods, and devices for a wireless communications network
CN106454918A (en) * 2016-09-18 2017-02-22 广东智环创新环境技术研究有限公司 Method for predicting electromagnetic radiation level of surrounding environment of TD-LTE mobile communication base station
CN106771651B (en) * 2016-11-15 2019-07-05 中国电子科技集团公司第四十一研究所 The synchronous method of data acquisition in a kind of pulse network analyzer pulse
CN107124238B (en) * 2017-04-27 2020-05-19 湘潭大学 Novel TD-SCDMA communication base station electromagnetic radiation prediction method

Also Published As

Publication number Publication date
CN109348065A (en) 2019-02-15

Similar Documents

Publication Publication Date Title
CN107708178B (en) Information retransmission method and base station
CN108199786A (en) Transmission power adjustment method and device
US20190132747A1 (en) Generation of access point configuration change based on a generated coverage monitor
CN105163344A (en) Method for positioning TD-LTE intra-system interference
CN108055348B (en) Method for adjusting data transmission priority and related equipment
CN106850687A (en) Method and apparatus for detecting network attack
CN104348655B (en) The safe and healthy degree determination method of system and device
CN108200660B (en) Data transmission method and device
CN109459640B (en) Scenic spot area base station electromagnetic radiation prediction method
CN110969240B (en) Pruning method, device, equipment and medium for deep convolutional neural network
CN108540299B (en) Network fault positioning processing method and device
CN109348065B (en) Mobile phone electromagnetic radiation prediction method based on QQ chat interactive behavior
CN110380795B (en) Base station electromagnetic radiation prediction method based on data packet arrival
CN108934026A (en) A kind of mobile terminal Wi-Fi quality determining method
CN109661003B (en) Mobile phone electromagnetic radiation prediction method based on news browsing behaviors
US11310670B2 (en) Network capacity adjustment using experience blocking ratio
CN109581076B (en) Mobile phone electromagnetic radiation prediction method based on video playing behavior
CN107222758A (en) A kind of method for converting video frame rate and device
CN115002843A (en) Service quality checking method and device, storage medium and electronic equipment
CN110932804B (en) Base station average electromagnetic radiation prediction method
CN111263375A (en) VOLTE uplink and downlink coverage balance judgment method and device
CN111884741B (en) FDD-LTE base station electromagnetic radiation prediction method
CN108156653B (en) Data transmission method and device
CN109660384A (en) A kind of various dimensions network data statistical method and system
CN113891384B (en) Method, device, service terminal and medium for determining network quality matching degree

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant