CN113133046B - Network coverage evaluation method and device, electronic equipment and computer storage medium - Google Patents
Network coverage evaluation method and device, electronic equipment and computer storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a network coverage evaluation method and device, electronic equipment and a computer readable storage medium, wherein the network coverage evaluation method comprises the following steps: acquiring power headroom PH information corresponding to each sampling point in a plurality of sampling points and a time advance TA corresponding to the PH information; determining Reference Signal Received Power (RSRP) of positions of sampling points according to the PH information to obtain a plurality of RSRPs corresponding to the sampling points; and performing network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs. By adopting the embodiment of the invention, not only can the accurate evaluation of the network coverage strength condition be realized, but also the evaluation of the cross-zone coverage condition can be realized, and the function of network coverage evaluation is enriched.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a network coverage assessment method and apparatus, an electronic device, and a computer-readable storage medium.
Background
Currently, the existing solutions for evaluating the network coverage of the cellular-based narrowband Internet of Things (NB-IoT) are mainly: drive Test (DT) is carried out by using a sweep generator, namely, the network coverage conditions of the first-level, second-level, third-level, fourth-level and fifth-level roads are tested by sweep frequency; network coverage is evaluated by Call Quality dialing Test (CQT) using Test software and meters in important buildings, administrative offices, business centers, and the like.
The method of utilizing the frequency scanner DT is mainly used for evaluating the NB-IoT network outdoor coverage condition, and specifically, the network coverage condition can be presented geographically by acquiring downlink data signals. However, the current shortage of frequency sweeping devices supporting the NB-IoT network system leads to long road testing time and complicated and variable road environment, which also increases the testing difficulty. It can be seen that this approach is costly and has high requirements on equipment accuracy.
The CQT fixed-point test mode is mainly used for evaluating the indoor coverage condition of the NB-IoT network, and is mainly performed by connecting a test module with a notebook computer, so that the portability of test equipment is poor. In addition, the NB-IoT terminals include a large number of water meters, electricity meters, smoke sensing terminals, intelligent stop terminals, etc., and these terminals are installed at deep locations in a room, so that the manner in which terminals of such a large order of magnitude rely on single-point testing is difficult to traverse.
Therefore, a new network coverage status evaluation scheme is needed to solve at least one of the above problems.
Disclosure of Invention
The embodiment of the invention provides a network coverage evaluation method and device, electronic equipment and a computer storage medium, and aims to solve the problem that network coverage evaluation is difficult because no RSRP measurement report exists in the existing NB-IoT system.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, a method for evaluating network coverage is provided, where the method includes:
acquiring power headroom PH information corresponding to each sampling point in a plurality of sampling points and a time advance TA corresponding to the PH information;
determining Reference Signal Received Power (RSRP) of positions of sampling points according to the PH information to obtain a plurality of RSRPs corresponding to the sampling points;
and performing network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs.
In a second aspect, a network coverage assessment apparatus is provided, the apparatus comprising:
the acquisition module is used for acquiring power headroom PH information corresponding to each sampling point in a plurality of sampling points and a time lead TA corresponding to the PH information;
the determining module is used for determining Reference Signal Received Power (RSRP) of the positions of the sampling points according to the PH information so as to obtain a plurality of RSRPs corresponding to the sampling points;
and the evaluation module is used for carrying out network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs.
In a third aspect, an electronic device is provided, which comprises a processor, a memory and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, performs the steps of the method according to the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method according to the first aspect.
In the embodiment of the invention, the Reference Signal Received Power (RSRP) corresponding to the position of each sampling point can be estimated according to the Power Headroom (PH) information reported by NB-IoT terminal equipment at different sampling points, so that the network coverage degree can be estimated according to the proportion of the sampling points corresponding to different RSRPs; and by further combining the corresponding time lead TA when the NB-IoT terminal equipment reports the PH information at different sampling points, namely taking the TA factor into account when network coverage evaluation is carried out, the network coverage condition evaluation based on data of multiple dimensions is realized, so that not only can the accurate evaluation of the network coverage condition be realized, but also the evaluation of the cross-area coverage condition can be realized, and the function of network coverage evaluation is enriched.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a network coverage evaluation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a location relationship between a UE and a base station in an embodiment of the present invention;
FIG. 3 is a schematic diagram of another location relationship between a UE and a base station in the embodiment of the present invention;
FIG. 4 is a schematic diagram of the two-dimensional interval of TA & RSRP in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a network coverage evaluation apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical solutions provided by the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present invention provides a network coverage evaluation method applied to an NB-IoT system, where the method may specifically include:
step 101: and acquiring power headroom PH information corresponding to each sampling point in the plurality of sampling points and a time advance TA corresponding to the PH information.
Optionally, each sampling point in this embodiment may correspond to a position where at least one NB-IoT terminal device is located in each random access procedure. Wherein each NB-IoT terminal device may trigger the random access procedure at different time instances and different locations (i.e., sampling points). Specifically, a large amount of relevant information of the sampling points can be acquired in the random access process, and the relevant information at least includes Power Headroom (PH) information and Timing Advance (TA) corresponding to each sampling point. The specific number of the plurality of sampling points can be determined according to the requirement of the current network coverage condition evaluation.
Further optionally, in this embodiment, the step 101 may be specifically executed as follows:
and acquiring a message Msg3 corresponding to each sampling point in the plurality of sampling points, wherein each Msg3 comprises PH information and TA corresponding to the PH information, and the PH information comprises a PH grade.
It can be understood that the PH information corresponding to the sampling point and the TA corresponding to the PH information are obtained by analyzing the message Msg3 reported by the NB-IoT terminal device in the corresponding random access process. The PH information may specifically refer to a PH level, and preferably includes four levels of PH0 to PH4, where each PH level corresponds to a PH range.
Alternatively, the PH information may be carried in the message Msg3 in the form of a Power Headroom Report (PHR).
Step 103: and determining Reference Signal Received Power (RSRP) of the positions of the sampling points according to the PH information to obtain a plurality of RSRPs corresponding to the sampling points.
Step 105: and performing network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs.
In the embodiment of the invention, the Reference Signal Received Power (RSRP) corresponding to the position of each sampling point can be estimated according to the Power Headroom (PH) information reported by NB-IoT terminal equipment at different sampling points, so that the network coverage degree can be estimated according to the proportion of the sampling points corresponding to different RSRPs; and by further combining the TA corresponding to the reporting of the PH information at different sampling points by the NB-IoT terminal equipment, namely, taking the TA factor into account when network coverage evaluation is performed, the network coverage condition evaluation based on data of multiple dimensions is realized, so that not only can the accurate evaluation of the network coverage condition be realized, but also the evaluation of the cross-area coverage condition can be realized, and the function of network coverage evaluation is enriched.
Optionally, in the network coverage evaluation method according to the embodiment of the present invention, the step 101 and the step 103 may be implemented by a network device in an NB-IoT system, and the step 105 may be implemented by other network elements such as an Operation and Maintenance Center (OMC) in the NB-IoT system; or, the step 101 is implemented by a network device in the NB-IoT system, and the steps 103 and 105 are implemented by other network elements in the NB-IoT system, that is, the network device outputs parameters required for calculating RSRP to other network elements such as an OMC, and the other network elements such as the OMC calculate RSRP.
Optionally, in the network coverage evaluation method according to the embodiment of the present invention, the step 103 may be specifically executed as follows:
determining the uplink path loss corresponding to the sampling point according to the PH information and the terminal transmitting power, the terminal receiving power and the path loss compensation weight corresponding to the sampling point so as to obtain a plurality of uplink path losses corresponding to a plurality of sampling points;
and determining the RSRP corresponding to the sampling points according to the uplink path loss corresponding to the sampling points, the reference signal power transmitted by the network equipment and the uplink and downlink path loss difference so as to obtain the RSRPs corresponding to the sampling points.
It can be understood that, according to the terminal transmission power, the terminal reception power, the path loss compensation weight, the network device transmission reference signal power, and the uplink and downlink path loss difference, the RSRP corresponding to each sampling point can be accurately estimated by using the corresponding calculation rule and the symmetry of the uplink and downlink of the system, so that the network coverage can be estimated, and particularly, the estimation of the weak coverage area can be realized. When the PH information is used for calculating uplink path loss, the PH value corresponding to the PH information may be a value specified based on a PH value range corresponding to a PH level.
Optionally, the terminal transmitting power is a maximum terminal transmitting power, and the terminal receiving power is an initial terminal receiving power.
Specifically, the RSRP corresponding to each sampling point may be determined according to the following formula:
PL ul ＝(P cmax -P 0Npusch -PH)/a，
RSRP＝RS_TxPwr–(PL ul -K)，
wherein PL is ul Representing the uplink loss, P cmax Representing the maximum transmit power, P, of the terminal 0Npusch Representing the initial receiving power of the terminal, a representing the path loss compensation weight, RS _ TxPwr representing the power of the reference signal transmitted by the network equipment, and K representing the difference of the uplink and downlink path loss. Wherein the value of K is related to the uplink frequency and the downlink frequency.
Optionally, in the network coverage evaluation method according to the embodiment of the present invention, in a specific embodiment, the step 105 may be specifically executed as follows:
determining a network coverage area to which each sampling point belongs according to the TA and the RSRP corresponding to each sampling point in the plurality of sampling points to obtain at least one network coverage area;
and performing network coverage evaluation according to the number of the preset TA value interval, the preset RSRP value interval and the sampling points corresponding to each network coverage area in the at least one network coverage area.
For example, as shown in fig. 2, there are 6 preset TA value intervals and 15 RSRP value intervals RSRP0 to RSRP15, and two different TA value intervals and different RSRP intervals are combined to obtain 90 network coverage areas, and a counter may be matched for each network coverage area. Then, after the TA corresponding to each sampling point is obtained and the corresponding downlink RSRP value is calculated, the sampling points can be matched with the corresponding network coverage area, and the number of the sampling points is accumulated by the counter corresponding to the network coverage area. Furthermore, the evaluation of the network coverage condition can be realized according to the proportion of the number of the sampling points falling in the network coverage area to the total number of all the sampling points and the RSRP value corresponding to the network coverage area, meanwhile, on the basis of realizing the RSRP value evaluation, TA is introduced, the thickness of the network coverage evaluation is increased, and through the network coverage evaluation in two dimensions of TA and RSRP, the cell weak coverage condition corresponding to a one-dimensional RSRP mode can be evaluated, and the cell cross-area coverage condition and the network coverage hole condition can also be evaluated.
It should be noted that, in the embodiment of the present invention, each sampling point may correspond to one or more sets of PH information and TA, that is, one or more sets of RSRP may be estimated based on each sampling point, for example, corresponding to different sampling periods or different sampling periods, so as to achieve as comprehensive network coverage estimation as possible.
Optionally, in the network coverage assessment method according to the embodiment of the present invention, in another specific embodiment, the step 105 may be specifically executed as follows:
determining the distance between the sampling point and the network equipment according to the TA to obtain a plurality of distances corresponding to the plurality of sampling points;
determining a network coverage area to which each sampling point belongs according to the distance and RSRP corresponding to each sampling point in the plurality of sampling points to obtain at least one network coverage area;
and performing network coverage evaluation according to the preset distance value interval, the preset RSRP value interval and the number of sampling points corresponding to each network coverage area in the at least one network coverage area.
It can be understood that the distance between the sampling point and the network device can be calculated based on the TA, the sampling point is located on a circle with the network device as a center and the corresponding distance as a radius, and further, the network coverage area can be divided based on the distance and the RSRP, so that not only the weak coverage condition of the cell corresponding to the one-dimensional RSRP mode can be evaluated, but also the cross-area coverage condition and the network coverage hole condition of the cell can be evaluated.
Optionally, the network coverage evaluation method in the embodiment of the present invention may further include the following steps:
and acquiring positioning information corresponding to the position of each sampling point in the plurality of sampling points to obtain a plurality of positioning information corresponding to the plurality of sampling points.
The step 105 in the embodiment of the present invention may be further executed as follows:
and performing network coverage evaluation according to the plurality of sampling points, the plurality of TAs, the plurality of positioning information and the plurality of RSRPs.
It can be understood that specific positioning of the sampling points is introduced on the basis of TA & RSRP two-dimensional network coverage evaluation, so that not only can accurate evaluation of network coverage strength and weakness, evaluation of cross-zone coverage condition and network coverage hole condition be realized, but also specific azimuth information of the sampling points can be further output; in other words, by aggregating a large number of sampling points containing { RSRP, TA, AOA } information to perform network coverage rendering, simulation of network coverage evaluation conditions with better effect can be realized from the perspective of more dimensions.
Optionally, each of the plurality of positioning information includes AOA information.
It should be noted that, in other embodiments of the present invention, of course, other positioning manners may be adopted to obtain the positioning information corresponding to the sampling point, and the positioning manner is not limited to the positioning manner based on the AOA.
Further optionally, in the network coverage assessment method according to the embodiment of the present invention, in a specific implementation, the step of performing network coverage assessment according to the plurality of sampling points, the plurality of TAs, the plurality of positioning information, and the plurality of RSRPs may be implemented as follows:
and performing network coverage evaluation according to a preset TA value interval, a preset RSRP value interval, the number of sampling points and positioning information corresponding to the sampling points corresponding to each network coverage area in the at least one network coverage area.
Further optionally, in the method for evaluating network coverage according to the embodiment of the present invention, the step of evaluating network coverage according to the multiple sampling points, the multiple TAs, the multiple positioning information, and the multiple RSRPs may be implemented as follows:
and performing network coverage evaluation according to a preset distance value interval, a preset RSRP value interval, the number of sampling points and positioning information corresponding to the sampling points corresponding to each network coverage area in the at least one network coverage area.
The network coverage evaluation scheme according to the embodiment of the present invention is specifically described below with reference to fig. 2 to 4.
In the embodiment of the present invention, it is considered that the protocol version of the NB-IoT third Generation Partnership project (3 rd Generation Partnership project,3 gpp) does not support Measurement Report (MR) function, that is, an NB-IoT terminal device (UE) (also called User Equipment) does not Report MR information, so that the NB-IoT MR big data cannot be used for the global coverage evaluation. However, when the UE accesses the NB-IoT network, the message Msg3 carries the PHR information, and the PHR information can truly reflect the distribution of the user, and therefore, the PHR information can be used for evaluating and optimizing the network coverage condition.
Wherein, the PH is a difference value between a maximum transmission power allowed by the UE and a currently estimated transmission power of a Physical Uplink Shared Channel (PUSCH), and specifically indicates how much transmission power is available for the UE in addition to the transmission power used for the current PUSCH transmission, and the unit of the PH is dB, and the range is [ -23db,40db ]. The specific formula can be simply expressed as: PH = UE Allowed Max TransPower-PUSCH Power.
The following describes a process of performing network coverage condition evaluation based on PHR information. In summary, the existing NB-IoT network access flow can be utilized to calculate the uplink loss according to the PH related information reported by the UE, and then the symmetry of the uplink and downlink links is utilized to approximately estimate the downlink RSRP value corresponding to the location of the UE, and meanwhile, the TA information is obtained in the above access flow to calculate the distance from the UE to the base station (i.e., the network device), and then the network coverage evaluation can be performed by establishing a two-dimensional model of TA & RSRP. The method specifically comprises the following steps:
(1) The UE reports the message Msg3 to the base station, where the message Msg3 carries PHR information, and specifically, the PHR information includes PH levels, where the number of the PH levels is 4 (that is, PH0, PH1, PH2, and PH 3), and each PH level corresponds to one PH range. When PH is used to estimate the path loss, a PH value needs to be specified in each PH range in advance for performing path loss calculation, for example, see table 1 below.
TABLE 1
| Reporting the value | Measurement quantity (dB) | Assigned pH value |
| PH_0 | -23≤PH＜5 | |
| PH_1 | ||
| 5≤PH＜8 | PH1 | |
| PH_2 | 8≤PH＜11 | PH2 |
| PH_3 | PH≥11 | PH3 |
Specifically, the uplink loss estimation can be performed by the following formula (1):
PH＝P cmax -(P 0Npusch +a×PL ul ) 8230and formula (1)
Wherein, P cmax For the maximum transmit power, P, of the UE 0Npusch For initial reception of target power, pl, by the UE ul And a is the uplink path loss, and a is the path loss compensation value. Deforming to obtainTo PL ul I.e.:
PL ul ＝(P cmax -P 0Npusch -PH)/a, \8230equation (2)
Specifically, P cmax 、P 0Npusch The value of a can be configured by the network device, for example, P cmax ＝23、P 0Npusch = 110, a =1, and thus PL can be derived ul =23- (-110) -PH =133-PH. Wherein the PH levels 0 to 3 correspond to 133-PH0, 133-PH1, 133-PH2, and 133-PH3, respectively.
Further, RSRP may be calculated according to equation (3) as follows:
RSRP＝RS_TxPwr–(PL ul -K), \8230andformula (3)
Wherein, RS _ TxPwr is the power of the reference signal transmitted by the base station, and K is the deviation value existing between the uplink and downlink path loss.
The deviation value K is mainly due to the difference between the uplink and downlink frequencies, and in particular, K may be used as a downlink path loss correction value. If the uplink central frequency is f1 and the downlink central frequency is f2, calculating a path loss formula according to a Hata-Okumura model (the most extensive model is used when urban area signals are predicted): lb =69.55+26.16 × lgf-13.82 × lghb- α (hm) + (44.9-6.55 × lghb) × lgd, it can be known that when the same UE is estimated, the effective height hb of the base station antenna, the effective height hm of the mobile station antenna, the height factor α (hm) of the mobile station antenna, and the distance d between the mobile station and the base station are consistent, then the K value is related to the uplink and downlink frequencies f1 and f2, and f1 and f2 can be configured by the network device, that is:
k = Lb (f 1) -Lb (f 2) =26.16 × lgf1-26.16 × lgf2=26.12 × lg (f 1/f 2), \8230equation (4)
For example, if f1=908.8mhz, f2=953.8mhz, K =26.12 xlg (908.8/953.8) = -0.55.
As can be seen from the above equations (2) to (4), RSRP = RS _ TxPwr- { (P) cmax -P 0Npusch -PH)/a-26.12 xlg (f 1/f 2). Therefore, the corresponding RSRP value can be estimated according to the PH value range corresponding to the PH level reported by the UE, where the PH in the RSRP calculation formula is the specified value corresponding to the PH value range.
Further, the value of RS _ TxPwr may be specifically configured by the network device. As above, if RS _ TxPwr =29.2, RSRP =29.2- (133-PH + 0.55) = -104.35+ PH. Therefore, estimated RSRP values corresponding to PH levels 0-3 can be obtained, and then after the RSRP values corresponding to different UE are estimated, sampling points corresponding to different RSRP intervals can be counted according to the specific RSRP interval where the RSRP values are located.
(2) The distance between the UE and the base station can be estimated according to TA, specifically, TA is multiplied by the speed of light C divided by 2, that is, the distance L between the UE and the base station is represented, that is, the UE is located on a circle with the base station as the center and the radius L as the radius, as shown in fig. 3.
And sending the signals into specified counters according to the TA range and the interval corresponding to the downlink RSRP, wherein the counters are respectively used for counting the number of sampling points in different TA sections and RSRP intervals. According to the basic counters, RSRP coverage statistical data with the lowest granularity of 15 minutes, different periods and subdivided into different TA ranges can be counted respectively.
For example, 90 counters TA & RSRP may be added, where TA is divided into 6 segments and RSRP is divided into 15 segments, and specifically, a two-dimensional area interval and a distribution of sample points are shown in fig. 2.
Specifically, the interface format can be expressed as { CELL ID, TIME, TA1& RSRP0, TA1& RSRP1, \8230; TA6& RSRP14}. Specifically, after the RSRP corresponding to each UE is calculated by the base station according to the above scheme, a statistical result of an interval corresponding to each TA & RSRP in a certain period may be output through an Operation and Maintenance Center (OMC).
(3) And according to the positioning function of the NB-IoT, accurately representing the position of the UE. The NB-IoT supports a plurality of precise positioning methods, such as TA + Angle-of-Arrival (AOA) positioning, and Observed Time Difference of Arrival (OTDOA). For the TA + AOA positioning mode, the position estimation of the accessed UE is obtained according to the geographical position of the base station where the UE is located and the related measurement result of the wireless resource, the positioning mode does not need the support of the UE, and all the measurement related to the positioning mode is provided by the base station; the AOA measurement is an angle of a signal arrival angle measured by the base station according to the received UE uplink signal relative to the north direction of the geography, as shown in fig. 4. For the OTDOA Positioning method, an access UE and a base station need to support Positioning Reference Signal (PRS), and the access UE measures 3 or more base station positions to perform accurate Positioning.
Further, taking TA + AOA positioning as an example, the RSRP corresponding to the UE, the distance from the base station, and the direction may be accurately represented by adding an AOA field in the above interface format, and specifically, the distance between the UE and the base station and the direction represented based on AOA may be referred to in fig. 3. The interface format may be expressed as { CELL ID, TIME, TA1& RSRP0, TA1& RSRP1, \ 8230; TA6& RSRP14, AOA }. Therefore, the network coverage condition can be expressed in a three-dimensional mode according to the acquired PH information, TA information and AOA information, and the network coverage simulation is more accurate.
Under the condition that the NB-IoT has new positioning functions and data, the simulation condition of the network coverage can be improved from two dimensions to three dimensions, and the simulation result of the network coverage is more accurate. Specifically, in the two-dimensional mode, the distance between the UE and the base station and the RSRP condition can be obtained, and the cell strong and weak coverage condition and the handover coverage condition can be determined through the data; after the positioning function is added, in a three-dimensional mode, the distance between the UE and the base station and the RSRP condition can be obtained, and the direction of the reporting point UE can be accurately positioned. That is, the distance between the UE and the base station can be estimated by the TA, and the distance L between the access UE and the base station is represented by the product of the TA and the speed of light C divided by 2, so that the UE is located on a circle with the base station as the center of circle and the distance L as the radius, and then the specific direction can be known by the angle information of the angle of arrival AOA.
In summary, in the embodiment of the present invention, the PH information is used to estimate the RSRP value, so that network coverage estimation in a one-dimensional mode can be implemented, that is, after the downlink RSRP value is estimated according to parameters such as the PH value, the maximum UE transmit power, and the initial UE receive power, the weak coverage condition of a cell can be estimated, and the proportion of weak coverage points of the cell to total sampling points is approximately known by estimating the weak coverage sampling point fraction.
Further, besides using the PH information to estimate RSRP value, by adding TA information in the interface format, network coverage evaluation in two-dimensional mode can be achieved. Specifically, the distance from a sampling point to a base station can be obtained besides accurate estimation of downlink RSRP, the thickness of network coverage estimation is increased, the sampling point is located on a circle with the base station as a center and the distance L (L = TA x light speed C/2) as a radius, the signal strength is RSRP, and therefore the weak coverage condition of a cell in a one-dimensional mode can be estimated, and the cell handover coverage and network coverage hole condition can be estimated.
Furthermore, besides using the PH information to estimate the RSRP value, the TA information + AOA information is added to the interface format, so that the network coverage evaluation in the three-dimensional mode can be implemented, and the defect that the network coverage evaluation in the two-dimensional mode cannot identify which point of the corresponding circumference the sampling point is located on can be overcome. Specifically, besides accurate estimation of downlink RSRP, the distance from the sampling point to the base station and the included angle with the geographical north direction can be obtained, and the sampling point can be identified as a specific point on a circumference which takes the base station as the center of a circle, the distance L (L = TA × light speed C/2) as the radius, and the included angle with the north direction as AOA. Therefore, network coverage rendering is performed by gathering a large number of sampling points containing { RSRP, TA and AOA } information, and the network coverage rendering is used for performing network coverage evaluation simulation, for example, network coverage strength conditions of different areas such as residential areas, roads, water surfaces, mountainous areas and bridge floors can be rendered based on the sampling points.
Referring to fig. 5, an embodiment of the present invention further provides a network coverage evaluation apparatus, where the network coverage evaluation apparatus may specifically include: an acquisition module 501, a determination module 503 and an evaluation module 505;
the obtaining module 501 is configured to obtain power headroom PH information corresponding to each sampling point in the multiple sampling points and a timing advance TA corresponding to the PH information;
the determining module 503 is configured to determine, according to the PH information, reference signal received power RSRP of a position where the sampling point is located, so as to obtain multiple RSRPs corresponding to multiple sampling points;
the evaluation module 505 is configured to perform network coverage evaluation according to the plurality of sampling points, the plurality of TAs, and the plurality of RSRPs.
Preferably, in the network coverage evaluation apparatus provided in the embodiment of the present invention, the determining module 503 may be specifically configured to:
determining the uplink path loss corresponding to the sampling point according to the PH information and the terminal transmitting power, the terminal receiving power and the path loss compensation weight corresponding to the sampling point so as to obtain a plurality of uplink path losses corresponding to a plurality of sampling points;
and determining the RSRP corresponding to the sampling points according to the uplink path loss corresponding to the sampling points, the reference signal power transmitted by the network equipment and the uplink and downlink path loss difference so as to obtain the RSRPs corresponding to the sampling points.
Preferably, in the network coverage evaluation apparatus provided in the embodiment of the present invention, the terminal transmit power is a maximum terminal transmit power, and the terminal receive power is an initial terminal receive power.
Preferably, in the network coverage evaluation apparatus provided in the embodiment of the present invention, the evaluation module 505 may be specifically configured to:
determining the distance between the sampling point and the network equipment according to the TA to obtain a plurality of distances corresponding to the plurality of sampling points;
determining a network coverage area to which each sampling point belongs according to the distance and RSRP corresponding to each sampling point in the plurality of sampling points to obtain at least one network coverage area;
and performing network coverage evaluation according to the number of the preset distance value interval, the preset RSRP value interval and the sampling points corresponding to each network coverage area in the at least one network coverage area.
Preferably, in the network coverage evaluation apparatus provided in the embodiment of the present invention, the obtaining module 501 may be further configured to:
acquiring positioning information corresponding to the position of each sampling point in the plurality of sampling points to obtain a plurality of positioning information corresponding to the plurality of sampling points;
the evaluation module 505 may be further configured to:
and performing network coverage evaluation according to a preset distance value interval, a preset RSRP value interval, the number of sampling points and positioning information corresponding to the sampling points corresponding to each network coverage area in the at least one network coverage area.
Preferably, in the network coverage evaluation apparatus provided in the embodiment of the present invention, each of the plurality of positioning information includes AOA information.
Preferably, in the network coverage evaluation apparatus provided in the embodiment of the present invention, the obtaining module 501 may be specifically configured to:
and acquiring a message Msg3 corresponding to each sampling point in the plurality of sampling points, wherein each Msg3 comprises PH information and TA corresponding to the PH information, and the PH information comprises a PH grade.
It can be understood that the network coverage assessment apparatus provided in the embodiment of the present invention can implement each process of the network coverage assessment method executed by the network coverage assessment apparatus, and the related descriptions about the network coverage assessment method are applicable to the network coverage assessment apparatus, and are not described herein again.
In the embodiment of the invention, the Reference Signal Received Power (RSRP) corresponding to the position of each sampling point can be estimated according to the Power Headroom (PH) information reported by NB-IoT terminal equipment at different sampling points, so that the network coverage degree can be estimated according to the proportion of the sampling points corresponding to different RSRPs; and by further combining the TA corresponding to the reporting of the PH information at different sampling points by the NB-IoT terminal equipment, namely, taking the TA factor into account when network coverage evaluation is performed, the network coverage condition evaluation based on data of multiple dimensions is realized, so that not only can the accurate evaluation of the network coverage condition be realized, but also the evaluation of the cross-area coverage condition can be realized, and the function of network coverage evaluation is enriched.
Referring to fig. 6, fig. 6 is a structural diagram of an electronic device applied in an embodiment of the present invention, which can implement details of the network coverage evaluation method and achieve the same effect. As shown in fig. 6, the electronic device 600 includes: a processor 601, a transceiver 602, a memory 603, a user interface 604, and a bus interface 605, wherein:
in the embodiment of the present invention, the electronic device 600 further includes: a computer program stored in the memory 603 and executable on the processor 601, the computer program when executed by the processor 601 performing the steps of:
acquiring Power Headroom (PH) information corresponding to each sampling point in a plurality of sampling points and a Time Advance (TA) corresponding to the PH information;
determining Reference Signal Received Power (RSRP) of positions of sampling points according to the PH information to obtain a plurality of RSRPs corresponding to the sampling points;
and performing network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs.
In fig. 6, the bus architecture may include any number of interconnected buses and bridges, with one or more processors represented by processor 601 and various circuits of memory represented by memory 603 being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. Bus interface 605 provides an interface. The transceiver 602 may be a plurality of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium. The user interface 604 may also be an interface capable of interfacing externally to a desired device for different user devices, including but not limited to a keypad, display, speaker, microphone, joystick, etc.
In the embodiment of the invention, the reference signal received power RSRP corresponding to the position of each sampling point can be estimated according to the PH information reported by NB-IoT terminal equipment at different sampling points, so that the network coverage degree can be estimated according to the occupation ratio of the sampling points corresponding to different RSRP; and by further combining the corresponding time lead TA when the NB-IoT terminal equipment reports the PH information at different sampling points, namely taking the TA factor into account when network coverage evaluation is carried out, the network coverage condition evaluation based on data of multiple dimensions is realized, so that not only can the accurate evaluation of the network coverage condition be realized, but also the evaluation of the cross-area coverage condition can be realized, and the function of network coverage evaluation is enriched.
The processor 601 is responsible for managing the bus architecture and general processing, and the memory 603 may store data used by the processor 601 in performing operations.
Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program is executed by the processor to implement each process of the embodiment of the network coverage evaluation method, and can achieve the same technical effect, and for avoiding repetition, details are not repeated here.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the network coverage assessment embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, 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 phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the particular illustrative embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalent arrangements, and equivalents thereof, which may be made by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A method for network coverage assessment, the method comprising:
acquiring power headroom PH information corresponding to each sampling point in a plurality of sampling points and a time advance TA corresponding to the PH information;
determining Reference Signal Received Power (RSRP) of positions of sampling points according to the PH information to obtain a plurality of RSRPs corresponding to the sampling points;
performing network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs;
the determining, according to the PH information, reference signal received power RSRP of the positions of the sampling points to obtain multiple RSRPs corresponding to the multiple sampling points includes:
determining the uplink path loss corresponding to the sampling point according to the PH information and the terminal transmitting power, the terminal receiving power and the path loss compensation weight corresponding to the sampling point so as to obtain a plurality of uplink path losses corresponding to a plurality of sampling points;
and determining the RSRP corresponding to the sampling points according to the uplink path loss corresponding to the sampling points, the reference signal power transmitted by the network equipment and the uplink and downlink path loss difference so as to obtain the plurality of RSRPs corresponding to the plurality of sampling points.
2. The method of claim 1, wherein the terminal transmit power is a terminal maximum transmit power and the terminal receive power is a terminal initial receive power.
3. The method of claim 1, wherein the performing network coverage assessment according to the plurality of sampling points, the plurality of TAs, and the plurality of RSRPs comprises:
determining the distance between the sampling point and the network equipment according to the TA to obtain a plurality of distances corresponding to the plurality of sampling points;
determining a network coverage area to which each sampling point belongs according to the distance and RSRP corresponding to each sampling point in the plurality of sampling points to obtain at least one network coverage area;
and performing network coverage evaluation according to the preset distance value interval, the preset RSRP value interval and the number of sampling points corresponding to each network coverage area in the at least one network coverage area.
4. The method of claim 3, further comprising:
acquiring positioning information corresponding to the position of each sampling point in the plurality of sampling points to obtain a plurality of positioning information corresponding to the plurality of sampling points;
the network coverage evaluation according to the number of the preset distance value interval, the preset RSRP value interval and the sampling points corresponding to each network coverage area in the at least one network coverage area comprises the following steps:
and performing network coverage evaluation according to a preset distance value interval, a preset RSRP value interval, the number of sampling points and positioning information corresponding to the sampling points corresponding to each network coverage area in the at least one network coverage area.
5. The method of claim 4, wherein each of the plurality of positioning information comprises AOA information.
6. The method according to any one of claims 1 to 5, wherein the obtaining of the Power Headroom (PH) information corresponding to each of the plurality of sampling points and the time advance TA corresponding to the PH information comprises:
and acquiring a message Msg3 corresponding to each sampling point in the plurality of sampling points, wherein each Msg3 comprises PH information and TA corresponding to the PH information, and the PH information comprises a PH grade.
7. A network coverage assessment apparatus, the apparatus comprising:
the acquisition module is used for acquiring power headroom PH information corresponding to each sampling point in a plurality of sampling points and a time lead TA corresponding to the PH information;
the determining module is used for determining Reference Signal Received Power (RSRP) of positions of the sampling points according to the PH information so as to obtain a plurality of RSRPs corresponding to the sampling points;
the evaluation module is used for carrying out network coverage evaluation according to the plurality of sampling points, the plurality of TAs and the plurality of RSRPs;
the determining module is specifically configured to: determining the uplink path loss corresponding to the sampling point according to the PH information and the terminal transmitting power, the terminal receiving power and the path loss compensation weight corresponding to the sampling point so as to obtain a plurality of uplink path losses corresponding to a plurality of sampling points; and determining the RSRP corresponding to the sampling points according to the uplink path loss corresponding to the sampling points, the reference signal power transmitted by the network equipment and the uplink and downlink path loss difference so as to obtain the RSRPs corresponding to the sampling points.
8. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN114040435B (en) * | 2021-11-26 | 2023-11-21 | 中国联合网络通信集团有限公司 | Evaluation method, device, storage medium and equipment for network coverage quality |
| CN114885369B (en) * | 2022-06-09 | 2024-08-27 | 中国联合网络通信集团有限公司 | Network coverage quality detection processing method and device, electronic equipment and storage medium |
| CN115379479B (en) * | 2022-08-23 | 2024-04-19 | 中国联合网络通信集团有限公司 | Cell coverage type determining method, device, equipment and storage medium |
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