CN111385038B - NB-IoT coverage evaluation method, device, equipment and medium - Google Patents
NB-IoT coverage evaluation method, device, equipment and medium Download PDFInfo
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Abstract
The embodiment of the invention provides an NB-IoT coverage evaluation method, an NB-IoT coverage evaluation device, an NB-IoT coverage evaluation equipment and a medium. The method comprises the following steps: obtaining Reference Signal Received Power (RSRP) of Frequency Division Duplex (FDD) 900 according to MDT data of FDD 900FDD(ii) a Obtaining the measurement frequency point blind measurement value RSRP of NB-IoT when the MDT pilot frequency measurement is started by configuring the NB-IoT measurement frequency pointncAnd acquiring the RSRP (frequency reference signal) of the FDD 900 central frequency point corresponding to the measuring frequency pointsc(ii) a Calculating a difference between the coverage index of the NB-IoT and the coverage index of FDD 900; based on RSRPFDDAccording to RSRPnc、RSRPscAnd the difference between the coverage metrics of NB-IoT and FDD 900, the NB-IoT is subject to coverage assessment. By utilizing the scheme, no hardware equipment needs to be newly added, no change needs to be made on the NB-IoT network, and no road traversal test needs to be carried out, but the existing MDT assessment tool of LTE is used, the positioning technology is mature, and user-level and grid-level coverage assessment can be directly formed.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a medium for evaluating NB-IoT coverage.
Background
A brand-new air interface technology of a wireless Internet of Things (NB-IoT) is adopted in a Narrow-Band Internet of Things (Narrow Band Internet of Things, NB-IoT), and the application scene of the Internet of Things mainly oriented to low speed, deep coverage, low power consumption and large connection is provided. NB-IoT technology is a system based on a 200KHz (kilohertz) narrowband spectrum, with an actual effective bandwidth of 180 KHz. Currently mobile NB-IoT is co-deployed with Global system for mobile communications (GSM) over a carrier reframing. Due to the fact that the NB-IoT faces to a plurality of terminals and application scenarios are complex, such as hydrologic monitoring, intelligent parking, water meter and electricity meter and the like, accurate assessment of NB-IoT network coverage is particularly necessary.
In the prior art, the network coverage evaluation method mainly includes the following steps:
1. the traditional mobile communication network coverage evaluation method comprises the following steps:
firstly, a mobile phone terminal road traversal test is carried out to evaluate the network coverage condition; secondly, the mobile phone terminal of the user is used for measuring the strength of the downlink pilot signal, the network coverage condition of the position where the user is located is reported through a Measurement Report (MR), MR data is formed in the 2G or 3G or 4G era, and the MR data is analyzed and applied to evaluate the network coverage condition.
2. NB-IoT network coverage evaluation method:
and (4) carrying out road frequency sweeping test by using an NB-IoT special frequency sweeping instrument to carry out network coverage evaluation.
3. NB-IoT network coverage evaluation method:
and starting the MR of the GSM 900 same-frequency-band network, acquiring the MR data of the GSM 900, and performing compensation conversion on the NB-IoT to evaluate the network coverage condition of the NB-IoT.
However, the above-mentioned several methods, whether the existing NB-IoT network passes the road sweep test or the conventional mobile communication network coverage evaluation method, have some technical problems, which are as follows:
1. the traditional mobile communication network coverage evaluation method is not suitable for NB-IoT network evaluation, because NB-IoT is a network facing static Internet of things users, users do not have mobility, protocols do not support switching, when a terminal is used for connection state test, a trawling effect is generated, the same cell is occupied for a long time and switching is not performed, so that disconnection is caused, and therefore evaluation is inaccurate.
The NB-IoT internet of things terminal is different from the mobile phone terminal, wherein the NB-IoT internet of things terminal is generally low in manufacturing cost, low power consumption capability is realized, the function is simple, and the protocol specifies that the NB-IoT does not support MR and MDT (Minimization Drive Test) information, so that the NB-IoT network cannot acquire MR and MDT data to perform network coverage evaluation.
Meanwhile, when a Long Term Evolution (LTE) network is configured for inter-frequency measurement NB-IoT, a large number of sampling points cannot be obtained for evaluation, and only a small number of sampling points with small probability of synchronization can be obtained.
2. By means of NB-IoT road frequency sweeping test, only the network coverage condition on the road can be obtained, and the overall coverage condition in a continuous area range cannot be comprehensively evaluated.
3. When compensation conversion is carried out on NB-IoT by starting the MR of a GSM 900 same-frequency-band network, the MR of the GSM does not form a mature analysis specification and a positioning method, and does not have good application conditions at a sampling point level and a grid level. And GSM will gradually quit the network, and the coverage evaluation of the NB-IoT network cannot be carried out by using the method for a long time.
Disclosure of Invention
The embodiment of the invention provides an NB-IoT coverage evaluation method, a device, equipment and a medium, which do not need to add any hardware equipment, do not need to change an NB-IoT network, do not need to develop a road traversal test, use the existing MDT evaluation tool of LTE, have mature positioning technology and can directly form user-level and grid-level coverage evaluation.
In a first aspect, an embodiment of the present invention provides a method for evaluating narrowband internet of things NB-IoT coverage, where the method includes:
Obtaining reference signal receiving of FDD900 according to MDT data of FDD900Power RSRPFDD；
Obtaining the measurement frequency point blind measurement value RSRP of the NB-IoT when the MDT pilot frequency measurement is started by configuring the NB-IoT measurement frequency pointncAnd acquiring the RSRP (frequency reference signal) of the FDD900 central frequency point corresponding to the measuring frequency pointsc；
Calculating a difference between the NB-IoT coverage metrics and FDD900 coverage metrics;
based on the RSRPFDDAccording to the RSRPnc、RSRPscAnd a difference between the coverage metric of the NB-IoT and the coverage metric of FDD900, performing a coverage assessment on the NB-IoT.
According to the NB-IoT coverage evaluation method, the Reference Signal Received Power (RSRP) of a Frequency Division Duplex (FDD) 900 is obtained according to the MDT data of the FDD900FDDThe method comprises the following steps:
after starting the MDT measurement, according to the sample data MDTO of the MDT data of the FDD900, the RSRP of the FDD900 is obtainedFDD(ii) a Wherein,
the MDTO includes a connected MDTO and an idle MDTO.
According to the NB-IoT coverage evaluation method of the present invention, the calculating the difference between the NB-IoT coverage index and the FDD900 coverage index comprises:
calculating the single-port transmitting power of the NB-IoT, and calculating the single-port transmitting power of the FDD900 to obtain a coverage compensation value RS;
Calculating a penetration loss value of the FDD 900 and a penetration loss value of the NB-IoT to obtain a penetration loss difference value PL;
calculating a terminal loss value of the FDD 900, and calculating a terminal loss value of the NB-IoT to obtain a terminal loss difference value OTA;
the coverage index comprises single-port transmission power, a penetration loss value and a terminal loss value.
According to the NB-IoT coverage assessment method, the calculation of the single-port transmission power of the NB-IoT comprises the following steps:
and calculating the single-port emission power of the NB-IoT according to the initial single-port emission power of the NB-IoT and the power consumed by each subcarrier.
According to the NB-IoT coverage assessment method of the present invention, the calculating the single-port transmission power of the FDD 900 includes:
and calculating the single-port transmitting power of the FDD 900 according to the single-port initial transmitting power of the FDD 900 and the power consumed by each subcarrier.
According to the NB-IoT coverage evaluation method of the present invention, the calculating the penetration loss value of the FDD 900 includes:
testing FDD 900 sites, selecting a plurality of first preset scenes of a plurality of buildings to perform indoor testing, and calculating the penetration loss value of the FDD 900; wherein,
The first preset scenario includes at least one of: corridors, and stairs.
According to the NB-IoT coverage evaluation method of the present invention, the calculating the penetration loss value of the NB-IoT includes:
testing FDD 900 sites, selecting a plurality of second preset scenes of a plurality of buildings to perform indoor testing, and calculating the penetration loss value of the NB-IoT; wherein,
the second preset scenario includes at least one of: basements, garages, light electric wells, elevators, and fire stairways.
According to the NB-IoT coverage evaluation method of the present invention, the calculating the terminal loss value of the NB-IoT includes:
and calculating the terminal loss value of the NB-IoT through OTA standard tests of different terminals.
According to the NB-IoT coverage evaluation method of the present invention, the calculating the terminal loss value of the FDD 900 includes:
and calculating the terminal loss value of the FDD 900 by OTA standard tests of different terminals and adding the terminal loss value and the human body loss value.
According to the NB-IoT coverage evaluation method of the present invention, the OTA standard test by different terminals includes:
and in a specific microwave darkroom, testing the radiation power and the receiving sensitivity of different terminals through OTA standard tests of the different terminals.
In a second aspect, an embodiment of the present invention provides a narrowband internet of things NB-IoT coverage evaluation apparatus, including:
a first obtaining module, configured to obtain reference signal received power RSRP of a frequency division duplex network FDD 900 according to MDT data of the FDD 900 for Minimization of Drive Test (MDT)FDD；
A second obtaining module, configured to obtain, by configuring the NB-IoT measurement frequency point, an RSRP value of the NB-IoT measurement frequency point when MDT pilot frequency measurement is startedncAnd acquiring the RSRP (frequency reference signal) of the FDD 900 central frequency point corresponding to the measuring frequency pointsc；
A calculation module to calculate a difference between the NB-IoT coverage metric and the FDD 900 coverage metric;
a coverage assessment module to assess coverage based on the RSRPFDDAccording to the RSRPnc、RSRPscAnd a difference between the coverage metric of the NB-IoT and the coverage metric of FDD 900, performing a coverage assessment on the NB-IoT.
According to the NB-IoT coverage evaluation apparatus of the present invention, the first obtaining module is specifically configured to:
after starting the MDT measurement, according to the sample data MDTO of the MDT data of the FDD 900, the RSRP of the FDD 900 is obtainedFDD(ii) a Wherein,
the MDTO includes a connected MDTO and an idle MDTO.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
Calculating the single-port transmitting power of the NB-IoT, and calculating the single-port transmitting power of the FDD 900 to obtain a coverage compensation value RS;
calculating a penetration loss value of the FDD 900 and calculating a penetration loss value of the NB-IoT to obtain a penetration loss difference value PL;
calculating a terminal loss value of the FDD 900, and calculating a terminal loss value of the NB-IoT to obtain a terminal loss difference value OTA;
wherein the coverage indicator comprises a single-port transmission power, a penetration loss value and a terminal loss value.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
and calculating the single-port emission power of the NB-IoT according to the initial single-port emission power of the NB-IoT and the power consumed by each subcarrier.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
and calculating the single-port transmitting power of the FDD 900 according to the single-port initial transmitting power of the FDD 900 and the power consumed by each subcarrier.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
testing FDD 900 sites, selecting a plurality of first preset scenes of a plurality of buildings to perform indoor testing, and calculating the penetration loss value of the FDD 900; wherein,
The first preset scenario includes at least one of: corridors, and stairs.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
testing FDD 900 sites, selecting a plurality of second preset scenes of a plurality of buildings to perform indoor testing, and calculating the penetration loss value of the NB-IoT; wherein,
the second preset scenario includes at least one of: basements, garages, light electric wells, elevators, and fire stairways.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
and calculating the terminal loss value of the NB-IoT through OTA standard tests of different terminals.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
and calculating the terminal loss value of the FDD 900 by OTA standard tests of different terminals and adding the terminal loss value and the human body loss value.
According to the NB-IoT coverage evaluation apparatus of the present invention, the calculation module is specifically configured to:
and in a specific microwave darkroom, testing the radiation power and the receiving sensitivity of different terminals through OTA standard tests of the different terminals.
In a third aspect, an embodiment of the present invention provides a narrowband internet of things NB-IoT coverage evaluation device, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer program instructions are stored, which, when executed by a processor, implement the method of the first aspect in the foregoing embodiments.
The narrowband Internet of things NB-IoT coverage assessment method, device, equipment and medium provided by the embodiment of the invention do not need to add any hardware equipment, do not need to change the NB-IoT network, do not need to develop a road traversal test, use the existing MDT assessment tool of LTE, have mature positioning technology and can directly form user-level and grid-level coverage assessment.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 shows a flowchart of a narrowband internet of things NB-IoT coverage evaluation method according to an embodiment of the present invention;
fig. 2 shows a schematic structural diagram of a narrowband internet of things NB-IoT coverage evaluation apparatus according to an embodiment of the present invention;
fig. 3 shows a hardware structure diagram of an NB-IoT coverage evaluation device of an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.
An embodiment of the present invention may provide a narrowband internet of things NB-IoT coverage evaluation method, and referring to fig. 1, fig. 1 shows a flowchart of a narrowband internet of things NB-IoT coverage evaluation method 100 according to an embodiment of the present invention, where the method includes:
s110, obtaining reference signal received power RSRP of FDD 900 according to MDT data of FDD 900FDD；
S120, obtaining the measurement frequency point blind measurement value RSRP of NB-IoT when MDT pilot frequency measurement is started by configuring NB-IoT measurement frequency pointncAnd acquiring the RSRP (frequency reference signal) of the FDD 900 central frequency point corresponding to the measuring frequency pointsc；
S130, calculating the difference between the coverage index of the NB-IoT and the coverage index of the FDD 900;
s140, based on RSRPFDDAccording to RSRPnc、RSRPscAnd the difference between the coverage metrics of NB-IoT and FDD 900, the NB-IoT is subject to coverage assessment.
By utilizing the scheme provided by the invention, no hardware equipment needs to be newly added, no change needs to be made on an NB-IoT network, no road traversal test needs to be carried out, the existing MDT evaluation tool of LTE is used, the positioning technology is mature, and user-level and grid-level coverage evaluation can be directly formed.
An embodiment of the present invention may provide a narrowband internet of things NB-IoT coverage evaluation apparatus, and referring to fig. 2, fig. 2 shows a schematic structural diagram of a narrowband internet of things NB-IoT coverage evaluation apparatus 200 according to an embodiment of the present invention, where the apparatus includes:
A first obtaining module 210, configured to obtain reference signal received power RSRP of FDD 900 according to MDT data of FDD 900 in FDD 900FDD；
A second obtaining module 220, configured to obtain the measurement frequency point blind measurement value RSRP of NB-IoT when MDT pilot frequency measurement is started by configuring the NB-IoT measurement frequency pointncAnd acquiring the RSRP (frequency reference signal) of the FDD 900 central frequency point corresponding to the measuring frequency pointsc；
A calculation module 230 to calculate a difference between the coverage indicator of NB-IoT and the coverage indicator of FDD 900;
a coverage assessment module 240 for RSRP basedFDDAccording to RSRPnc、RSRPscAnd the difference between the coverage metrics of NB-IoT and FDD 900, the NB-IoT is subject to coverage assessment.
By utilizing the scheme provided by the invention, no hardware equipment needs to be newly added, no change needs to be made on an NB-IoT network, no road traversal test needs to be carried out, the existing MDT evaluation tool of LTE is used, the positioning technology is mature, and user-level and grid-level coverage evaluation can be directly formed.
The following describes, by way of specific examples, alternative specific processes of embodiments of the present invention. It should be noted that the scheme of the present invention does not depend on a specific algorithm, and in practical applications, any known or unknown hardware, software, algorithm, program, or any combination thereof may be used to implement the scheme of the present invention, and the scheme of the present invention is within the protection scope of the present invention as long as the essential idea of the scheme of the present invention is adopted.
The embodiment of the invention provides an NB-IoT coverage evaluation method based on MDT data of FDD 900.
FDD 900 and NB-IoT are constructed for co-station co-antenna feeder, both are deployed in 900M frequency band, and the propagation model characteristics are basically the same, and the coverage capability is close. FDD 900 is therefore provided with the innate conditions for NB-IoT coverage prediction.
And the MDT of the LTE network tends to be mature, the terminal support degree is high, the number of collected sample points is large, and accurate coverage evaluation of sampling point levels and grid levels can be realized.
Therefore, by using an MDT platform tool of the LTE network, the coverage strength of FDD 900 sampling points or grids can be obtained through FDD 900 parameters, base station configuration files and MDT data; and then, the MDT data is corrected by the coverage strength of the NB-IoT frequency points of the LTE pilot frequency blind test, and finally the NB-IoT coverage can be accurately evaluated.
<MDT data acquisition reduced base value RSRP of FDD 900FDD>
Minimization of Drive-tests (MDT) is an automated Drive test technology introduced in LTE and third Generation mobile communication technology (3rd-Generation, 3G) systems at stage 3rd Generation Partnership Project (3 GPP) R10. The MDT is an important function of the LTE system, and specifically, transmits measurement data reported by a terminal to a radio access network element management system (OMC-R) through an evolved Node B (eNode B), and stores the measurement data in a management unit MNS through an itf-N interface.
The OMC-R is a management platform for unified management of the network elements of the wireless access network, and mainly comprises management and northbound network management interfaces of configuration management, faults, performance, topology, software, safety, test tracking, system, command line operation modes and the like.
In some embodiments, the measurement report data of LTE is calculated by a physical layer and a Radio Link Control (RLC) layer of the terminal and the eNode B during a Radio resource management process.
In some embodiments, the measurement data is divided into statistical data MDTS and sample data MDTO, and the measurement report triggering manner may be time triggering or periodic triggering. The MDTO data is mass detail data, is summarized into report data through data distribution, integration and processing, and is used for developing upper-layer application.
The MDT data mainly comes from User Equipment (UE), a physical layer of the ENodeb, RLC, and a measurement report generated by calculation in the radio resource management process. The original measurement data is reported to the OMC-R through statistical calculation to be stored in a statistical data form or is directly reported to the OMC-R to be stored in a sample data form.
The MDT function is triggered based on a task mode, and can be classified according to two different dimensions of a task tracking object and a terminal working state. According to the MDT terminal (e.g., UE) operation status division, in some embodiments, MDT may be divided into two categories, specifically as follows:
Immedate MDT/linked MDT (R10 function): when the UE is in a connected state, measuring and reporting;
logged MDT/idle MDT (R10 function): and when the UE is in an idle state, measuring and storing the data locally, and when the UE enters a connected state, reporting the data acquired in the idle state.
In some embodiments, the measurement items of Logged MDT/idle MDT (R10 function) include: serving cell Reference Signal Receiving Power (RSRP) and Reference Signal Receiving Quality (RSRQ), available co-frequency/inter-system neighbor related information, time information, and corresponding location information.
Thus, after opening the MDT measurement, the MDTO number is obtained in the OMC by a third party tool (e.g., Excel)Accordingly, mass reduced base value RSRP of sampling point level is obtainedFDD。
<LTE MDT to NB-IoT pilot frequency blind measurement value RSRPncCorresponding FDD value RSRPsc>
In some embodiments, the NB-IoT downlink frequency domain physical layer structure is OFDMA, occupies 200KHz bandwidth (10 KHz guard bands are left on both sides, actually occupying 180KHz, i.e. 1 RB), subcarrier bandwidth is 15KHz, downlink time domain physical layer structure is 10 subframes for 1 radio frame, 2 slots for 1 subframe, and 7 symbols for 1 slot. The downlink time domain and frequency domain structure is the same as that of the LTE network.
Pilot signals in an NB downlink physical channel reuse CRS of LTE, and in order to improve coverage, an NB-RS is newly added, namely the CRS of the NB-IoT comprises two parts: one part is CRS of the original LTE, and the other part is newly added NB-RS.
The downlink time domain and frequency domain structure same as that of LTE enables the NB-IoT network pilot signal strength to be measured by a terminal supporting an FDD 900M frequency band with small probability on the basis of semi-blind synchronization.
When MDT pilot frequency system measurement is started, blind measurement values RSRP of a small number of NB-IoT networks can be obtained by configuring NB-IoT measurement frequency pointsncAnd simultaneously, the RSRP of the FDD central frequency point corresponding to the measurement frequency point can be obtainedsc。
< coverage compensation value RS of NB-IoT and FDD900 >
In some embodiments, an FDD900 network uses a 5MHz (megahertz) carrier frequency, the center frequency point is configured to be 948.3MHz, and the upper and lower frequency limits may be (945.8MHz,950.8 MHz). The mobile NB-IoT uses 953.2-954.0MHz in 900MHz frequency band, common central frequency points are 953.8MHz, 953.6MHz and 953.4MHz, and the bandwidth is 180Khz (kilohertz). It should be noted that both mobile NB-IoT and FDD900 are deployed in the 900M band, their propagation model features are substantially the same, and NB-IoT is deployed in a co-sited co-antenna feed with FDD 900. Thus, the gain and loss of both in the feeder, antenna, and wireless environment are substantially the same.
In some embodiments, in an LTE network, 0 and 5 subframes of each radio frame transmit pilot signals, a Cell Reference Signal (CRS) occupies 16 symbols, and when a UE measures RSRP, the UE takes an average of 16 symbols; and the NB sends 0, 4 and 9 subframes in odd radio frames, the NB-RS signal in each subframe also occupies 16 symbols, and when the UE blindly detects the RSRP, the average value of the 16 symbols is also taken.
Therefore, the difference between NB-IoT and FDD900 in downlink RSRP is the difference between the RS transmit powers of the two. Currently, NB-IoT network deployment is mainly 2T4R, power specification is 2 × 10W, single PORT 10W corresponds to 40dBm (decibel milliwatt); the power is divided equally by 12 subcarriers, and 10 × log (12) can be obtained as 10.8; the RS power of the single-PORT PORT is 40dBm-10.8dB or 29.2 dBm; since it is 2T, adding 3dB, we can end up: NB-RS was 32.2 dBm.
FDD900 deployment is also 2T4R, power specification is 2 × 10W, single PORT 10W corresponds to 40 dBm; the power is equally divided by 300 subcarriers, and 10 × log (300) ═ 24.8 can be obtained; the RS power of the single-PORT PORT is 40dBm-24.8dB is 15.2 dBm; since it is 2T, adding 3dB, we can end up: the CRS for FDD900 was 18.2 dBm.
Therefore, the coverage offset RS of NB-IoT and FDD900 is 32.2dBm-18.2 dBm-K.
Where K is a margin constant, which may be taken to be, for example, 2-3 dB.
< penetration loss difference PL of NB-IoT and FDD 900 >
When electromagnetic waves propagate between buildings, penetration loss occurs, and the specific penetration loss value is related to factors such as specific building types and incident angles of the electromagnetic waves. The partition walls typically have a penetration loss of 5-20dB, while the basement losses may reach over 30 dB. Especially in urban scenarios, the penetration loss from tall buildings can significantly affect coverage.
In some embodiments, by testing the FDD 900 site, various scene buildings such as multiple high floors, single high floors, middle floors and bottom floors are selected for indoor floor sweeping testing, the indoor floor sweeping testing is carried out in areas such as corridors, corridors and stairs, and the penetration loss result is about 18 dB.
It should be noted that compared with the FDD 900 network, the NB-IoT terminal is in a scene with deeper coverage, such as a basement, a garage, a weak power well, an elevator, etc., various scene buildings such as a plurality of high floors, a single high floor, a middle floor, etc. are selected, and the building penetration loss average value is about 28.7dB when traversing the areas such as the basement, the garage, the weak power well, the elevator, the fire stairs, etc.
In summary, NB-IoT takes into account about 10dB more penetration loss than FDD 900 network.
Therefore, in an embodiment of the present invention, the difference PL between the transmission loss of NB-IoT and FDD900 can be-10 dB.
< terminal loss difference value OTA of NB-IoT and FDD900 >
It should be noted that OTA is the loss value of the demodulation quality of the signal from the terminal receiving antenna to the internal chip. China Mobile OTA is set to 6dB for a traditional 2G/3G/4G terminal.
In some embodiments, the OTA margin of the NB terminal is, from practical experiments, much larger than that of the conventional terminal. The test method is obtained through a standard OTA test, and the radiation power and the receiving sensitivity of the mobile phone are tested in a specific microwave darkroom.
The FDD terminal increases OTA loss of 4-6dB on the basis of human body loss (3 dB); the NB-IoT equipment is in a more complex environment, such as an electricity meter box and a water meter box, and the OTA loss is larger, and the OTA loss is generally about 12dB through OTA standard tests of different scenes and different terminals.
Therefore, in the embodiment of the present invention, the terminal loss difference OTA may be 8dB compared to the FDD900 network.
< correction Algorithm for evaluating NB-IoT overlay based on MDT data in FDD900 >
MDT data reduced base value RSRP in acquisition of FDD900FDDBlind measurement value RSRP to NB-IoT networknbAfter a large number of simulations and modeling are performed on the coverage compensation value RS, the penetration loss difference PL and the terminal loss difference OTA, the correction algorithm for evaluating NB-IoT coverage based on MDT data in FDD900 is obtained.
As shown in equation (1), NB-IoT sample points cover the intended value RSRPNB-IoTComprises the following steps:
RSRPNB-IoT＝RSRPFDD+[average(∑RSRPnc)-average(∑RSRPsc)]+RS+PL+OTA (1)
finally, through fitting calculation of each sampling point, accurate estimation of NB-IoT network coverage can be obtained.
In summary, the embodiment of the present invention is based on the network characteristics of NB-IoT, and is an NB-IoT coverage evaluation method based on MDT data of FDD900, the method mainly includes: acquiring MDT data of FDD900 to obtain a large number of FDD900 coverage sampling points with geographical information, simulating NB-IoT coverage sampling points through coverage difference, penetration capability difference and terminal OTA difference, configuring NB-IoT frequency points for blind test by using the function of LTE measurement pilot frequency, correcting the simulation result by using the accurate NB-IoT coverage measurement condition obtained by the blind test, and finally obtaining the coverage evaluation method of NB-IoT.
In addition, based on the consideration that the NB-IoT system does not support MR message reporting and MR data cannot be acquired in the embodiment of the invention, the NB-IoT coverage evaluation method in the embodiment of the invention is an evaluation method which adopts MDT data of an FDD900 system to carry out correction and fitting calculation.
Therefore, the technical scheme provided by the embodiment of the invention can effectively fill up the short board which is insufficient in the coverage evaluation means of the NB-IoT network, and can form comprehensive coverage evaluation in the continuous coverage area of the NB-IoT network.
The embodiment of the invention provides an MDT data and pilot frequency blind test NB-IoT coverage assessment method based on FDD 900, and forms an NB-IoT sampling point coverage simulation calculation method capable of carrying out quantitative correction calculation on full sampling points through a large number of simulation experiments.
In addition, the embodiment of the invention has the following advantages:
1. the embodiment of the invention can quickly carry out the coverage evaluation of the whole network NB-IoT network at low cost, does not need to newly add any hardware equipment, does not need to make any change on the NB-IoT network, and does not influence NB-IoT users;
2. the embodiment of the invention does not need to develop road traversal test, has higher coverage prediction efficiency, can avoid the problem of insufficient mobility of NB-IoT, and better conforms to the actual coverage scene of NB-IoT;
3. the embodiment of the invention uses the existing MDT evaluation tool and method of LTE, has mature positioning technology and can directly form user-level and grid-level coverage evaluation.
4. Compared with the MR + OTT positioning mode, the MDT used in the embodiment of the invention does not need a commercial terminal to install and activate the positioning authority and OTT application, and has no OTT encryption and infringement risks; meanwhile, the MDT supports idle state acquisition and measurement, the whole process is controllable, the function is 3GPP standard, a WGS-84 Coordinate System (World geographic System-1984Coordinate System) is adopted, conversion and correction are not needed, and the positioning precision is high.
In addition, the NB-IoT coverage evaluation method of the embodiment of the present invention described in conjunction with fig. 1 may be implemented by an NB-IoT coverage evaluation device. Fig. 3 is a schematic diagram illustrating a hardware structure of an NB-IoT coverage evaluation device according to an embodiment of the present invention.
The NB-IoT coverage assessment apparatus may include a processor 1003 and a memory 1004 that stores computer program instructions.
Fig. 3 is a block diagram illustrating an exemplary hardware architecture of a computing device capable of implementing a communication method and a network server according to an embodiment of the present invention. As shown in fig. 3, computing device 1000 includes input device 1001, input interface 1002, processor 1003, memory 1004, output interface 1005, and output device 1006.
The input interface 1002, the processor 1003, the memory 1004, and the output interface 1005 are connected to each other via a bus 1010, and the input device 1001 and the output device 1006 are connected to the bus 1010 via the input interface 1002 and the output interface 1005, respectively, and further connected to other components of the computing device 1000.
Specifically, the input device 1001 receives input information from the outside and transmits the input information to the processor 1003 via the input interface 1002; the processor 1003 processes the input information based on computer-executable instructions stored in the memory 1004 to generate output information, stores the output information temporarily or permanently in the memory 1004, and then transmits the output information to the output device 1006 through the output interface 1005; output device 1006 outputs the output information external to computing device 1000 for use by a user.
The computing device 1000 may perform the steps of the communication methods described herein.
Processor 1003 may be one or more Central Processing Units (CPUs). In the case where the processor 1003 is one CPU, the CPU may be a single-core CPU or a multi-core CPU.
The memory 1004 may be, but is not limited to, one or more of Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), compact disc read only memory (CD-ROM), a hard disk, and the like. The memory 1004 is used to store program codes.
It is understood that, in the embodiment of the present application, the functions of any one or all of the first obtaining module to the coverage evaluation module provided in fig. 2 may be implemented by the central processor 1003 shown in fig. 3.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
All parts of the specification are described in a progressive mode, the same and similar parts of all embodiments can be referred to each other, and each embodiment is mainly introduced to be different from other embodiments. In particular, as to the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple and reference may be made to the description of the method embodiments in relevant places.
Claims (13)
1. A narrowband Internet of things (NB-IoT) coverage assessment method comprises the following steps:
obtaining Reference Signal Received Power (RSRP) of Frequency Division Duplex (FDD) 900 according to MDT data of the MDT 900 of the FDD 900FDD；
Obtaining the measurement frequency point blind measurement value RSRP of the NB-IoT when the MDT pilot frequency measurement is started by configuring the NB-IoT measurement frequency pointncAnd acquiring the RSRP (frequency reference signal) of the FDD 900 central frequency point corresponding to the measuring frequency pointsc；
Calculating a difference between the NB-IoT coverage metrics and FDD 900 coverage metrics;
based on the RSRPFDDAccording to the RSRPnc、RSRPscAnd a difference between the coverage metric of the NB-IoT and the coverage metric of FDD 900, performing a coverage assessment on the NB-IoT.
2. The method of claim 1, wherein the Reference Signal Received Power (RSRP) of a Frequency Division Duplex (FDD) 900 is obtained from MDT data of the FDD 900 FDDThe method comprises the following steps:
after starting the MDT measurement, according to the sample data MDTO of the MDT data of the FDD 900, the RSRP of the FDD 900 is obtainedFDD(ii) a Wherein,
the MDTO includes a connected MDTO and an idle MDTO.
3. The method of claim 1, wherein the calculating the difference between the NB-IoT coverage metric and an FDD 900 coverage metric comprises:
calculating the single-port transmitting power of the NB-IoT, and calculating the single-port transmitting power of the FDD 900 to obtain a coverage compensation value RS;
calculating a penetration loss value of the FDD 900 and calculating a penetration loss value of the NB-IoT to obtain a penetration loss difference value PL;
calculating a terminal loss value of the FDD 900, and calculating a terminal loss value of the NB-IoT to obtain a terminal loss difference value OTA;
wherein the coverage indicator comprises a single-port transmission power, a penetration loss value and a terminal loss value.
4. The method of claim 3, wherein the calculating the NB-IoT single port transmit power comprises:
and calculating the single-port emission power of the NB-IoT according to the initial single-port emission power of the NB-IoT and the power consumed by each subcarrier.
5. The method of claim 3, wherein the calculating the single-port transmit power of the FDD 900 comprises:
and calculating the single-port transmitting power of the FDD 900 according to the single-port initial transmitting power of the FDD 900 and the power consumed by each subcarrier.
6. The method of claim 3, wherein the calculating the penetration loss value for the FDD 900 comprises:
testing FDD 900 sites, selecting a plurality of first preset scenes of a plurality of buildings to perform indoor testing, and calculating the penetration loss value of the FDD 900; wherein,
the first preset scenario includes at least one of: corridors, and stairs.
7. The method of claim 3, wherein the calculating the NB-IoT penetration loss value comprises:
testing FDD 900 sites, selecting a plurality of second preset scenes of a plurality of buildings to perform indoor testing, and calculating the penetration loss value of the NB-IoT; wherein,
the second preset scenario includes at least one of: basements, garages, light electric wells, elevators, and fire stairways.
8. The method of claim 3, wherein the calculating the terminal loss value for the NB-IoT comprises:
And calculating the terminal loss value of the NB-IoT through OTA standard tests of different terminals.
9. The method of claim 3, wherein the calculating the terminal loss value for the FDD 900 comprises:
and calculating the terminal loss value of the FDD 900 by OTA standard tests of different terminals and adding the terminal loss value and the human body loss value.
10. Method according to claim 8 or 9, wherein said OTA standard test by different terminals comprises:
and in a specific microwave darkroom, testing the radiation power and the receiving sensitivity of different terminals through OTA standard tests of the different terminals.
11. A narrowband internet of things (NB-IoT) coverage assessment apparatus, comprising:
a first obtaining module, configured to obtain reference signal received power RSRP of a frequency division duplex network FDD 900 according to MDT data of the FDD 900 for Minimization of Drive Test (MDT)FDD；
A second obtaining module, configured to obtain, by configuring the NB-IoT measurement frequency point, an RSRP value of the NB-IoT measurement frequency point when MDT pilot frequency measurement is startedncAnd acquiring and measuring frequency pointCorresponding FDD 900 central frequency point measurement value RSRPsc；
A calculation module to calculate a difference between the NB-IoT coverage metric and the FDD 900 coverage metric;
A coverage assessment module to assess a coverage of the RSRPFDDAccording to the RSRPnc、RSRPscAnd the difference between the coverage metrics of the NB-IoT and FDD 900, performing a coverage assessment on the NB-IoT.
12. A narrowband Internet of things (NB-IoT) coverage evaluation device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-10.
13. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-10.
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