CN111278038B - Method and device for determining NB-IoT network coverage condition - Google Patents
Method and device for determining NB-IoT network coverage condition Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for determining the coverage condition of an NB-IoT network. Determining a target LTE cell corresponding to an NB-IoT cell to be evaluated, wherein the target LTE cell and the NB-IoT cell belong to cells with the same frequency band and the same system; calculating a difference factor for performing coverage conversion between cell pairs; based on the difference factor, and the obtained cell parameters corresponding to the NB-IoT cell, the cell parameters corresponding to the target LTE cell and the cell measured values, selecting a corresponding coverage conversion algorithm to obtain the receiving level of the NB-IoT cell. According to the embodiment of the invention, the coverage condition of the NB-IoT network is determined based on the coverage condition conversion mapping of the LTE cell by determining the target LTE cell which has the same frequency band and the same system as the NB-IoT cell to be evaluated, combining the cell parameters of the target LTE cell and the NB-IoT cell and the cell measured value of the target LTE cell and considering the difference factor used for the coverage conversion between the NB-IoT cell and the target LTE cell.
Description
Technical Field
The embodiment of the invention relates to the technical field of mobile communication, in particular to a method and a device for determining the coverage condition of an NB-IoT network.
Background
NB-IoT is a completely new wireless communication network serving things, based on the feature of reducing chip cost and combining things, it can be said that NB-IoT is a simplified LTE network. The current NB-IoT networks do not support handover, voice, and MR measurements. At present, coverage evaluation of an NB-IoT network is mainly performed in a traditional test mode, a sweep generator terminal or a test terminal is used for road traversal test, and a test terminal is used for selecting part of buildings for indoor test.
The prior art can realize the evaluation of the road coverage of the NB-IoT network, but the NB-IoT service characteristics determine that the NB-IoT terminal is located in a plurality of indoor depths and even is installed in an area which is not reachable by people, and the service occurrence environment can go deep into the building. The actual coverage situation of the NB-IoT network is difficult to evaluate only by means of road tests and tests of partial indoor points, and the network coverage situation cannot be evaluated more accurately by means of MR measurement like an LTE network.
Disclosure of Invention
Aiming at the technical problems in the prior art, the embodiment of the invention provides a method and a device for determining the coverage condition of an NB-IoT network.
In a first aspect, an embodiment of the present invention provides a method for determining NB-IoT network coverage, including:
determining a target LTE cell corresponding to an NB-IoT cell to be evaluated, wherein the target LTE cell and the NB-IoT cell belong to cells with the same frequency band and the same system;
calculating a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell;
based on the difference factor, and the obtained cell parameter corresponding to the NB-IoT cell, the obtained cell parameter corresponding to the target LTE cell and the obtained cell measured value, a corresponding coverage conversion algorithm is selected, and a receiving level of the NB-IoT cell is obtained to determine the coverage condition of the NB-IoT network.
In a second aspect, an embodiment of the invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method as provided in the first aspect when the program is executed.
In a third aspect, embodiments of the present invention provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as provided by the first aspect.
According to the method and the device for determining the coverage situation of the NB-IoT network, the coverage situation of the NB-IoT network is determined based on the coverage situation conversion mapping of the LTE cell by determining the target LTE cell which has the same frequency band and the same system as the NB-IoT cell to be evaluated, combining the cell parameters of the target LTE cell and the NB-IoT cell and the cell measured value of the target LTE cell and considering the difference factor for the coverage conversion between the NB-IoT cell and the target LTE cell.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart illustrating a method for determining NB-IoT network coverage according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a device for determining NB-IoT network coverage according to an embodiment of the present invention;
fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiments of the present invention provide a method for mapping NB-IoT coverage conditions by using LTE MR data conversion, which is implemented by the following ideas: by utilizing the characteristic of different-frequency MR measurement of an LTE terminal, MR data of an LTE FDD900 site in a similar mode with an NB-IoT (radio base station) in the same frequency band are collected, 2 scenes of common antenna feed and non-common antenna feed are respectively considered, an optimal cell pair of the LTE and the NB-IoT is determined, different factors such as the difference of the LTE and the NB-IoT transmitting power, the difference of loss, shadow fading, a terminal difference coefficient and the like are calculated, a coverage conversion relation of the LTE and the NB-IoT is established, the LTE MR data is converted, the NB-IoT MR data is mapped, and the coverage condition of the NB-IoT network is evaluated.
Fig. 1 is a flowchart of a method for determining NB-IoT network coverage in accordance with an embodiment of the present invention, where, as shown in fig. 1, the method includes the following steps:
in the embodiment of the method, if the coverage of one NB-IoT cell needs to be evaluated, a proper LTE cell needs to be found in the LTE network, and the coverage of the NB-IoT cell to be evaluated is converted through the coverage of the LTE cell because the existing NB-IoT network does not support handover, voice and MR measurement. The suitable LTE cell is a target LTE cell, and the LTE cell and the NB-IoT cell belong to cells with the same frequency band and the same system.
Specifically, the embodiment of the method utilizes the characteristic that the LTE terminal supports multi-frequency sweep, acquires MR data of an LTE FDD900 station in a similar system with the same frequency band of the NB-IoT through different-frequency MR measurement of the LTE terminal, then determines an optimal cell pair converted by the LTE and the NB-IoT, and finds a target LTE cell.
after determining the best cell pair for the LTE and NB-IoT conversion, i.e., finding the target LTE cell, the difference factor for the coverage conversion between the NB-IoT cell and the target LTE cell can be calculated. The difference factor may include a terminal difference and/or a loss difference in two scenarios, a co-fed scenario and a non-co-fed scenario, respectively.
According to the method for determining the coverage situation of the NB-IoT network, the coverage situation of the NB-IoT network is determined based on the coverage situation conversion mapping of the LTE cell by determining the target LTE cell which has the same frequency band and the same system as the NB-IoT cell to be evaluated, combining the cell parameters of the target LTE cell and the NB-IoT cell and the cell measured value of the target LTE cell and considering the difference factor for the coverage conversion between the NB-IoT cell and the target LTE cell.
Based on the embodiment of the method, the precondition for realizing the coverage conversion of LTE and NB-IoT is that the selection of the LTE and NB-IoT cell pairs respectively considers two scenes of common antenna feed and non-common antenna feed of LTE and NB-IoT:
and for a common antenna feedback scene, taking an LTE cell which is common to an NB-IoT cell as the target LTE cell. Specifically, for a common antenna feed scenario, the LTE cell and NB-IoT cell of the common antenna feed are determined as the best cell pair. The common antenna feeder judgment basis is as follows: judging whether the cell pairs are commonly fed or not through RRU information in the LTE network engineering parameter table and the NB-IoT network engineering parameter table, and if the RRU outgoing sequence number (RRU-ESN) of the LTE FDD900 cell is consistent with that of the NB-IoT cell, determining that the 2 cells are commonly fed cells.
For a non-common antenna feedback scene, determining the target LTE cell according to a preset judgment rule; the LTE cell with the highest priority coefficient is the target LTE cell, and the priority coefficient corresponding to the lower priority value is higher, and the priority value is the sum of the height coefficient, the direction angle coefficient and the inclination angle coefficient. The judging rule comprises the following steps: for LTE cells with a distance less than a preset distance:
the antenna hanging height difference value is smaller than a first threshold value, and the height coefficient is recorded as 0; when the height coefficient is larger than the first threshold value, the height coefficient is increased by 0.1 when the exceeding part exceeds the first threshold value, and the height coefficient is counted by the first threshold value when the height coefficient is smaller than the first threshold value;
the azimuth angle difference value is smaller than a second threshold value, and the direction angle coefficient is recorded as 0; when the direction coefficient is larger than the second threshold value, the direction coefficient is increased by 0.2 when the exceeding part exceeds the second threshold value, and the direction coefficient is counted by the second threshold value when the exceeding part is smaller than the second threshold value;
the downward inclination angle difference value is smaller than a third threshold value, and the inclination angle coefficient is recorded as 0; when the inclination angle coefficient is larger than the third threshold value, the inclination angle coefficient is increased by 0.1 when the exceeding part exceeds the third threshold value, and the inclination angle coefficient is smaller than the third threshold value by the third threshold value.
Specifically, for a non-common antenna feed scenario, the best cell pair for LTE and NB-IoT conversion is determined by comprehensively considering station distance, antenna hanging height difference, azimuth angle difference, downtilt angle difference, and the like. And traversing the LTE FDD900 cell of the current network to perform industrial parameter matching by taking the longitude and latitude of the NB-IoT cell, the antenna hanging height, the azimuth angle and the downward inclination angle as references, and performing priority ranking according to the correlation coefficient to obtain the optimal cell pair. Wherein,,
i. if there is a cell pair with a distance less than 50 meters, then
The antenna hanging height difference value is less than 3 meters, and the coefficient is recorded as 0; when the height coefficient is greater than 3 meters, the height coefficient is added with 0.1 when the height coefficient exceeds 3 meters, and the height coefficient is less than 3 meters and is calculated as 3 meters;
the coefficient is recorded as 0 when the azimuth difference is smaller than 3 degrees; when the angle is larger than 3 degrees, the direction coefficient is added by 0.2 when the angle exceeds 3 degrees, and the angle is smaller than 3 degrees and is calculated by 3 degrees;
the coefficient is recorded as 0 when the downward inclination angle difference is smaller than 3 degrees; when the angle is larger than 3 degrees, the inclination angle coefficient is increased by 0.1 when the exceeding part exceeds 3 degrees, and the angle is smaller than 3 degrees and is calculated as 3 degrees.
All pairwise cell pairs of NB-IoT cells are valued: min (height coefficient+direction angle coefficient+inclination angle coefficient), the smaller the value is, the higher the priority is; if the cell pairs with equal min values exist, the cell pairs with small distances are given high priority.
if there is no cell pair with a distance less than 50 meters, then
And checking and confirming whether longitude and latitude errors or common antenna feed information are abnormal on site, and if the longitude and latitude errors or common antenna feed information are not abnormal, temporarily not performing coverage conversion on the NB-IoT cell.
Based on the method embodiment, for the common antenna feedback scene, because the LTE FDD900 and the NB-IoT are in the same frequency band, according to path loss model analysis, the path loss of the LTE FDD900 and the NB-IoT is the same in theory, and the actual receiving level and the pilot power difference are equivalent.
One important difference between NB-IoT networks and existing LTE networks is that terminals of LTE networks are typically held in a person's hands, while NB-IoT networks are typically located deep inside a building, where "person" network terminals and "object" network terminals have a difference in location distance. The terminal differences of the "people" and "things" networks need to be considered when making the coverage conversion of LTE and NB-IoT.
The terminal difference is mainly reflected in the distance, and according to a free space path loss formula:
R＝32.2+20*log(D)+20*log(M)
under the same frequency band condition, the terminal difference calculation formula is as follows: delta = NB transmit power-LTE transmit power-20 log (D N /D L )，D N For the distance between NB-IoT terminal and corresponding base station, D L Is the distance between the LTE terminal and the corresponding base station.
Typical NB-IoT RS transmission power is 32.2, LTE RS transmission power is 18.2, terminal distances of NB-IoT and LTE FDD900 are calculated by using TA values, according to current network NB-IoT and LTE site performance statistics, the average TA of NB-IoT terminals is 1842.14 meters, the average TA of LTE FDD900 terminals is 652.78 meters, and the terminal difference delta=5dB can be calculated.
Correspondingly, in the above method embodiment, based on the difference factor, and the obtained cell parameter corresponding to the NB-IoT cell and the obtained cell parameter corresponding to the target LTE cell, a corresponding coverage conversion algorithm is selected, and a reception level of the NB-IoT cell is obtained, including:
the reception level of the NB-IoT cell is calculated according to the following formula:
NB reception level = NB transmit power- [ (LTE transmit power-LTE reception level) ] -terminal difference; the NB transmitting power is a cell parameter corresponding to an NB-IoT cell, the LTE transmitting power is a cell parameter corresponding to the target LTE cell, and the LTE receiving level is a cell measured value corresponding to the target LTE cell.
And the coverage conversion relation of the LTE network and the NB-IoT network in the common antenna feed scene is established, and conversion mapping is carried out.
On the basis of the method embodiment, for the non-common antenna feed scene, the difference factors are terminal difference and loss difference. The terminal difference is obtained according to the above method embodiment, and will not be described herein.
For non-common antenna feed scenarios, NB-IoT antenna gain, LTE antenna gain, and loss differences need to be considered.
The loss difference is calculated according to the following formula:
PL(i,j)＝Cell(i).TxPower-Cell(i).TxLoss+AntennaGain(i)-AveRxPower(i,j)；
among them, cell (i). TxPower is the base station transmission power of Cell (i), and pilot signal power is used in practical applications.
Cell (i). TxLoss is signal shadow fading, mainly comprising base station antenna feeder loss, ground feature penetration loss, shadow fading; shadow fading considers the fading margin, and is calculated by using standard deviation and cell edge coverage probability, and the formula is as follows: SFM (dB) =q -1 (1-Pr EdgeCoverage ) X σ, pr is the edge coverage probability, σ is the standard deviation of shading attenuation, and the two values are referenced in the table below. Signal fading values may be derived from different scenarios.
AntennaGain (i) is the antenna gain of Cell (i), and AveRxPower (i, j) is the RS power received by the terminal.
Correspondingly, in the above method embodiment, the method further includes a step of obtaining device parameters corresponding to the target LTE cell and the NB-IoT cell. Correspondingly, the method selects a corresponding coverage conversion algorithm based on the difference factor and the acquired cell parameter corresponding to the NB-IoT cell and the acquired cell parameter and cell measurement value corresponding to the target LTE cell to obtain a receiving level of the NB-IoT cell, specifically: and selecting a corresponding coverage conversion algorithm based on the difference factor and the obtained device parameters corresponding to the target LTE cell and the NB-IoT cell, the obtained cell parameters corresponding to the target LTE cell and the obtained cell measurement values, and obtaining the receiving level of the NB-IoT cell.
Specifically, the reception level of the NB-IoT cell is calculated according to the following formula:
NB reception level = NB transmit power + NB antenna gain- [ (LTE transmit power + LTE antenna gain-LTE reception level) +loss variance ] -terminal variance; the method comprises the steps that NB transmitting power is a cell parameter corresponding to an NB-IoT cell, NB antenna gain is a device parameter corresponding to the NB-IoT cell, LTE antenna gain is a device parameter corresponding to the target LTE cell, LTE transmitting power is a cell parameter corresponding to the target LTE cell, and LTE receiving level is a cell measured value corresponding to the target LTE cell.
And the coverage conversion relation of the LTE network and the NB-IoT network in the common-nothing antenna feed scene is established, and conversion mapping is carried out.
Fig. 2 is a schematic diagram of an apparatus for determining NB-IoT network coverage according to an embodiment of the present invention, where, as shown in fig. 2, the apparatus includes a first processing module 201, a second processing module 202, and a third processing module 203, where:
the first processing module 201 is configured to determine a target LTE cell corresponding to an NB-IoT cell to be evaluated, where the target LTE cell and the NB-IoT cell belong to a cell with the same frequency band and the same system; the second processing module 202 is configured to calculate a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell; the third processing module 203 is configured to select a corresponding coverage conversion algorithm based on the difference factor and the obtained cell parameter corresponding to the NB-IoT cell and the obtained cell parameter and cell measurement value corresponding to the target LTE cell, and obtain a reception level of the NB-IoT cell, so as to determine a coverage condition of the NB-IoT network.
The embodiment of the present apparatus may be specifically used to execute the above embodiment of the method, and specific functions are detailed in the above embodiment of the method, which is not described herein again.
According to the device for determining the coverage situation of the NB-IoT network, provided by the embodiment of the invention, the coverage situation of the NB-IoT network is determined based on the coverage situation conversion mapping of the LTE cell by determining the target LTE cell which has the same frequency band and the same system as the NB-IoT cell to be evaluated, combining the cell parameters of the target LTE cell and the NB-IoT cell and the cell measured value of the target LTE cell and considering the difference factor for the coverage conversion between the NB-IoT cell and the target LTE cell.
Fig. 3 is a schematic physical structure of an electronic device according to an embodiment of the present invention, where, as shown in fig. 3, the electronic device may include: processor 310, communication interface (Communications Interface) 320, memory 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 accomplish communication with each other through communication bus 340. The processor 310 may invoke a computer program stored in the memory 330 and executable on the processor 310 to perform the methods provided by the above embodiments, including, for example: determining a target LTE cell corresponding to an NB-IoT cell to be evaluated, wherein the target LTE cell and the NB-IoT cell belong to cells with the same frequency band and the same system; calculating a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell; based on the difference factor, and the obtained cell parameter corresponding to the NB-IoT cell, the obtained cell parameter corresponding to the target LTE cell and the obtained cell measured value, a corresponding coverage conversion algorithm is selected, and a receiving level of the NB-IoT cell is obtained to determine the coverage condition of the NB-IoT network.
Further, the logic instructions in the memory 330 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art or a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Embodiments of the present invention also provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the methods provided by the above embodiments, for example, comprising: determining a target LTE cell corresponding to an NB-IoT cell to be evaluated, wherein the target LTE cell and the NB-IoT cell belong to cells with the same frequency band and the same system; calculating a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell; based on the difference factor, and the obtained cell parameter corresponding to the NB-IoT cell, the obtained cell parameter corresponding to the target LTE cell and the obtained cell measured value, a corresponding coverage conversion algorithm is selected, and a receiving level of the NB-IoT cell is obtained to determine the coverage condition of the NB-IoT network.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for determining NB-IoT network coverage, comprising:
determining a target LTE cell corresponding to an NB-IoT cell to be evaluated, wherein the target LTE cell and the NB-IoT cell belong to cells with the same frequency band and the same system;
calculating a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell;
based on the difference factor, and the obtained cell parameters corresponding to the NB-IoT cell, the obtained cell parameters corresponding to the target LTE cell and the obtained cell measured values, selecting a corresponding coverage conversion algorithm, and obtaining a receiving level of the NB-IoT cell to determine the coverage condition of an NB-IoT network;
for a common antenna feed scene, the difference factor is a terminal difference; accordingly, the computing a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell comprises:
the terminal difference Δ is calculated according to the following formula:
delta = NB transmit power-LTE transmit power-20 log (D N /D L )，D N For the distance between NB-IoT terminal and corresponding base station, D L Distance between an LTE terminal and a corresponding base station;
for a non-common antenna feed scene, the difference factors are terminal difference and loss difference; accordingly, the computing a difference factor for coverage conversion between the NB-IoT cell and the target LTE cell comprises:
the terminal difference Δ is calculated according to the following formula:
delta = NB transmit power-LTE transmit power-20 log (D N /D L )，D N For the distance between NB-IoT terminal and corresponding base station, D L Is the distance between the LTE terminal and the corresponding base station.
2. The method of claim 1, wherein the determining a target LTE cell for the NB-IoT cell to be evaluated comprises:
for a common antenna feedback scene, taking an LTE cell which is common to the NB-IoT cell as the target LTE cell;
for a non-common antenna feedback scene, determining the target LTE cell according to a preset judgment rule; the LTE cell with the highest priority coefficient is the target LTE cell, and the priority coefficient corresponding to the lower priority value is higher, and the priority value is the sum of the height coefficient, the direction angle coefficient and the inclination angle coefficient.
3. The method of claim 2, wherein the decision rule comprises: for LTE cells with a distance less than a preset distance:
the antenna hanging height difference value is smaller than a first threshold value, and the height coefficient is recorded as 0; when the height coefficient is larger than the first threshold value, the height coefficient is increased by 0.1 when the exceeding part exceeds the first threshold value, and the height coefficient is counted by the first threshold value when the height coefficient is smaller than the first threshold value;
the azimuth angle difference value is smaller than a second threshold value, and the direction angle coefficient is recorded as 0; when the direction coefficient is larger than the second threshold value, the direction coefficient is increased by 0.2 when the exceeding part exceeds the second threshold value, and the direction coefficient is counted by the second threshold value when the exceeding part is smaller than the second threshold value;
the downward inclination angle difference value is smaller than a third threshold value, and the inclination angle coefficient is recorded as 0; when the inclination angle coefficient is larger than the third threshold value, the inclination angle coefficient is increased by 0.1 when the exceeding part exceeds the third threshold value, and the inclination angle coefficient is smaller than the third threshold value by the third threshold value.
4. The method of claim 1, wherein, for a common antenna feed scenario,
the selecting a corresponding coverage conversion algorithm based on the difference factor and the obtained cell parameter corresponding to the NB-IoT cell and the obtained cell parameter corresponding to the target LTE cell and the obtained cell measurement value, to obtain a reception level of the NB-IoT cell, including:
the reception level of the NB-IoT cell is calculated according to the following formula:
NB reception level = NB transmit power- [ (LTE transmit power-LTE reception level) ] -terminal difference; the NB transmitting power is a cell parameter corresponding to an NB-IoT cell, the LTE transmitting power is a cell parameter corresponding to the target LTE cell, and the LTE receiving level is a cell measured value corresponding to the target LTE cell.
5. The method of claim 1, wherein for a non-common antenna feed scenario, the method further comprises: acquiring device parameters corresponding to the target LTE cell and the NB-IoT cell;
accordingly: the selecting a corresponding coverage conversion algorithm based on the difference factor and the obtained cell parameter corresponding to the NB-IoT cell and the obtained cell parameter corresponding to the target LTE cell and the obtained cell measurement value, and obtaining a reception level of the NB-IoT cell specifically includes:
and selecting a corresponding coverage conversion algorithm based on the difference factor and the obtained device parameters corresponding to the target LTE cell and the NB-IoT cell, the obtained cell parameters corresponding to the target LTE cell and the obtained cell measurement values, and obtaining the receiving level of the NB-IoT cell.
6. The method of claim 5, wherein the selecting a corresponding coverage conversion algorithm based on the difference factor and the obtained device parameters corresponding to the target LTE cell and NB-IoT cell, the cell parameters corresponding to the NB-IoT cell and the cell parameters corresponding to the target LTE cell, and the cell measurement value, to obtain the reception level of the NB-IoT cell comprises:
the reception level of the NB-IoT cell is calculated according to the following formula:
NB reception level = NB transmit power + NB antenna gain- [ (LTE transmit power + LTE antenna gain-LTE reception level) +loss variance ] -terminal variance; the method comprises the steps that NB transmitting power is a cell parameter corresponding to an NB-IoT cell, NB antenna gain is a device parameter corresponding to the NB-IoT cell, LTE antenna gain is a device parameter corresponding to the target LTE cell, LTE transmitting power is a cell parameter corresponding to the target LTE cell, and LTE receiving level is a cell measured value corresponding to the target LTE cell.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 6 when the program is executed.
8. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 6.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103581983A (en) * | 2012-07-19 | 2014-02-12 | 华为技术服务有限公司 | Cell level intensity estimation method, related equipment and related system in multi-network type |
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| CN103581983A (en) * | 2012-07-19 | 2014-02-12 | 华为技术服务有限公司 | Cell level intensity estimation method, related equipment and related system in multi-network type |
Non-Patent Citations (2)
| Title |
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| "依托GSM900 MR开展NB-IoT覆盖预测的方法";李言兵等;《移动通信》;20180515(第5期);全文 * |
| "基于MPLA算法的NB-IoT网络覆盖评估";肖亚等;《电信技术》;20180725;1-6节 * |
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