A 5G coverage capacity planning method for scenarios with limited space and high traffic demand

Abstract

This invention relates to the field of wireless network planning technology, specifically a method for 5G coverage capacity planning in scenarios with high traffic demands in confined spaces. The method involves conducting on-site surveys and information collection, followed by iterative planning simulations. Antenna position and parameter adjustments are iteratively performed based on service coverage, service capacity, and service quality. The propagation model is corrected during the simulation process, and rectangular shaped antennas are selected and installed in locations where antennas can be installed in venues. This solution effectively addresses the quality issues associated with large-scale cell deployments in confined spaces, balancing capacity, coverage, and interference, and meeting the communication security needs of high-density populations.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless network planning, and specifically to a 5G coverage capacity planning method for a scenario with limited space and high traffic demand. Background Art

[0002] As productivity continues to improve, people's entertainment activities are becoming increasingly diverse. Sports stadiums are being built across the country, and sports events, concerts, galas, and other variety shows are frequently held. At the same time, with the continuous breakthroughs of technologies such as 5G, optical transmission, big data, AI, and virtual reality, people's data service needs are growing at a rate of 8 times per year. Sports stadiums, as landmark buildings, have limited space, dense populations, and strong demand for communication data services. In this special scenario, how to balance capacity, coverage, interference, and meet the communication security needs of high-density crowds has become a difficult planning challenge for sports stadium communications.

[0003] When planning venue coverage using traditional cellular macro-station antennas and plate-shaped antennas, the side lobe interference of the antennas will interfere with surrounding cells. While ensuring coverage, it is difficult to meet the communication quality requirements, which usually results in high-cost construction and the inability to meet the security needs of major events.

[0004] Therefore, there is an urgent need for a 5G coverage capacity planning method for scenarios with limited space and high traffic demand. This method can effectively solve the quality problems caused by large-scale cell deployment under limited space conditions, balance capacity, coverage, and interference, and meet the communication guarantee needs of high-density crowds. Summary of the Invention

[0005] The present invention aims to provide a 5G coverage capacity planning method for scenarios with limited space and high traffic demand, which can effectively solve the quality problems caused by large-scale cell deployment under limited space conditions, balance capacity, coverage, interference and meet the communication guarantee needs of high-density crowd gatherings.

[0006] The present invention provides the following basic solution: a 5G coverage capacity planning method for a scenario with limited space and high traffic demand, including the following contents:

[0007] S1. Obtain a drawing of the scene to be planned and identify the building height of the sunshade roof and the power supply location of the equipment in the scene;

[0008] S2. Collect operator penetration rates, analyze historical venue major event support business models, and estimate the number of users in a full-seat scenario.

[0009] S3. Conduct a site survey of the planned scenario to obtain on-site information, including: number of seats, distribution of aisle isolation zones, location of mains power supply, and feasibility of mounting antennas on surrounding buildings;

[0010] S4, perform on-site propagation model correction;

[0011] S5. Select simulation planning software;

[0012] S6. Correct the propagation model in the simulation software;

[0013] S7. Calculate the number of cells required for the venue based on the number of seats N, operator user penetration rate R, user concurrent usage rate r, single-user rate experience S, and base station cell capacity C.

[0014] S8. Select a rectangular antenna based on the available antenna installation locations in the venue and install it in the available antenna installation locations in the venue.

[0015] S9. Plan the venue antenna and adjacent cells based on the site survey information, the coverage of the single cell of the shaped antenna, and the number of cells;

[0016] S10. Plan the location of the equipment room and the cable routing based on the surveyed mains power supply location and available cable routing;

[0017] S11. Setting the initial power parameters of the simulation according to the power information supported by the selected source device;

[0018] S12. According to the propagation model, iterative simulation is performed by adjusting the antenna position, power, azimuth angle, and elevation angle.

[0019] S13. Output a design solution that meets coverage and capacity requirements.

[0020] Furthermore, the S4 includes: PL (dB) = 20log10 (d) + 20log10 (f) + K, where d is the propagation distance; f is the selected frequency, K is the path fading factor, and the path fading factor is corrected by the transmitter transmitting power and the receiver receiving power on site.

[0021] Furthermore, the number of cells required for the venue = N*S*R*r / C.

[0022] Furthermore, different frequencies are planned to be the same frequency, and the coverage distance is maximized.

[0023] Furthermore, the coverage and capacity requirements are: the signal strength in the venue is -85dbm, accounting for no less than 95%, SINR ≥ 3dB, accounting for no less than 95%, and the rate is no less than 2MB / s when simulating 85% of users are loaded.

[0024] Beneficial effects: This solution first conducts on-site surveys and information collection to provide a data basis for subsequent simulation iterations, especially to correct the on-site propagation model to ensure that subsequent simulations can accurately correct the propagation model and ensure the accuracy of the simulation; after completing the on-site survey and information collection, simulation is carried out based on the collected data to plan the wireless network in the scenario, and a design solution that meets the coverage and capacity requirements while having quality assurance is output. During planning, a rectangular shaped antenna is selected and installed in the location where the venue antenna can be installed; the coverage boundary of a conventional antenna cell is elliptical. When the coverage is met, a large overlapping area will exist between cells. If the same frequency is selected in the overlapping area, the communication quality will deteriorate. Therefore, this solution uses a rectangular antenna to effectively control the cell boundary, thereby meeting the scenarios of limited frequency resources, limited spatial distance, and large-scale concentrated deployment of cells. Compared with conventional antennas, the use of rectangular or square shaped antennas can improve the overall quality by more than 20%, the capacity planning upper limit is increased by 30%, and the antenna edge covers the simulated shape of -85dbm.

[0025] In summary, the wireless network coverage solution designed using this solution can meet the coverage and capacity requirements of large-scale sports stadiums. At the same time, the use of shaped wave antennas tailored to the special architectural structure of the stadium can effectively control signal interference caused by over-coverage in the cell, thereby improving communication quality. It effectively solves the problem of large-capacity call planning in limited spaces and complex scenarios, balancing capacity, coverage, and interference to meet the communication guarantee needs of high-density crowds. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of an embodiment of a 5G coverage capacity planning method in a limited space and high traffic demand scenario according to the present invention;

[0027] Figure 2 A schematic diagram of possible installation locations of venue antennas in a scenario according to an embodiment of a 5G coverage capacity planning method in a scenario with limited space and high traffic demand of the present invention;

[0028] Figure 3 This is a propagation diagram of a rectangular shaped antenna in an embodiment of a 5G coverage capacity planning method in a limited space and high traffic demand scenario of the present invention;

[0029] Figure 4 This is a propagation diagram of a cellular outdoor directional antenna;

[0030] Figure 5 It is the cell coverage map of the cellular outdoor directional antenna;

[0031] Figure 6 This is a cell coverage diagram of a rectangular shaped antenna in an embodiment of a 5G coverage capacity planning method in a limited space and high traffic demand scenario of the present invention;

[0032] Figure 7 This is a cell coverage diagram of a scenario in an embodiment of a 5G coverage capacity planning method for a scenario with limited space and high traffic demand in the present invention. DETAILED DESCRIPTION

[0033] The following is further described in detail through specific implementation methods:

[0034] The embodiment is basically as shown in the attached Figure 1 Figure 1 shows a 5G coverage capacity planning method for a scenario with limited space and high traffic demand, including the following:

[0035] The first step is to conduct on-site investigation and information collection;

[0036] S1. Obtain drawings of the scene to be planned, identify the building height of the sunshade roof and the power supply location of the equipment in the scene, and provide input data support for modeling;

[0037] S2. Collect basic operator information, including: collecting operator penetration rates, analyzing historical venue major event support business models, and estimating the number of users in a full-seat scenario;

[0038] S3. Conduct a site survey of the planned scenario to obtain on-site information, including the number of seats, distribution of aisle barriers, location of mains power supply, and feasibility of mounting antennas on surrounding buildings, to provide input for subsequent planning. In this embodiment, the scenario is a gymnasium.

[0039] S4, perform on-site propagation model correction;

[0040] PL(dB)=20log10(d)+20log10(f)+K, where d is the propagation distance; f is the selected frequency, and K is the path fading factor. The transmitter transmits power, the receiver receives power, and the path fading factor is corrected on-site to provide data support for the simulation.

[0041] The second step is to iterate planning simulations based on the collected information, and iterate antenna position and parameter adjustments based on service coverage, service capacity, and service quality.

[0042] S5. Select simulation planning software such as IBwave, ICSdesigner, winprop, etc.

[0043] S6. Correcting the propagation model in the simulation software; specifically, correcting the propagation model in the simulation software according to K;

[0044] S7. Calculate the number of cells required for the venue based on the number of seats N, operator user penetration rate R, user concurrent usage rate r, single-user rate experience S, and base station cell capacity C. = N*S*R*r / C.

[0045] S8. Depending on the location of the venue antenna, e.g. Figure 2 As shown, select the rectangular antenna, such as Figure 3 As shown, it is installed in the installation position of the venue antenna; the coverage boundary of the conventional antenna cell is elliptical, as shown Figure 4 and Figure 5 As shown in the figure, when coverage is met, there will be a large overlapping area between cells. If the same frequency is selected in the overlapping area, the communication quality will be degraded. Therefore, this solution uses rectangular antennas to effectively control the cell boundaries, thereby meeting the needs of limited frequency resources, limited spatial distance, and large-scale cell centralized deployment scenarios. Compared with conventional antennas, the use of rectangular or square shaped antennas can improve the overall quality by more than 20%, and the capacity planning upper limit is increased by 30%. The antenna edge has a -85dBm coverage simulation shape, as shown in the figure. Figure 6 As shown;

[0046] S9. Plan the venue antenna based on the site survey information, the coverage of the single cell of the shaped antenna, and the number of cells, plan adjacent cells, and plan different frequencies, such as Figure 7 As shown in the figure, the rectangle represents the cell coverage range, and F1, F2, F3, and F4 represent the different frequencies used by the cell, thereby minimizing the quality problems caused by co-channel interference. Among them, different frequencies are planned to be the same frequency, and the longer the coverage distance is, the better. That is, the same frequency is used, and the coverage distance is the farthest.

[0047] S10. Plan the location of the equipment room and the cable routing based on the surveyed mains power supply location and available cable routing;

[0048] S11. Setting the initial power parameters of the simulation according to the power information supported by the selected source device;

[0049] S12. Iteratively simulate by adjusting the antenna position, power, azimuth, and elevation angle according to the propagation model. Specifically, based on the venue antenna plan and antenna pattern, combined with the propagation model, theoretically derive the theoretical source coverage boundary to support the adjustment of the antenna position, power, azimuth, and elevation angle, thereby iteratively simulate by adjusting the antenna position, power, azimuth, and elevation angle.

[0050] By adjusting the antenna position, power, azimuth, and elevation angle, the reference signal strength, signal quality, and service range of different cells are optimized. The iteration ends when the signal strength in the venue is -85dBm, accounting for no less than 95%, the SINR is ≥3dB, accounting for no less than 95%, and the service coverage of different cells is a regular rectangle with no significant overlap with surrounding cells.

[0051] S13. Output a design solution that meets coverage, capacity, and quality assurance requirements; that is, output a design solution that meets coverage and capacity requirements; the coverage and capacity requirements are: signal strength in the venue is -85dBm, accounting for not less than 95%, SINR ≥ 3dB, accounting for not less than 95%, and the rate is not less than 2MB / s (general indicators) when simulating 85% user loading. The indicators of the requirements in other embodiments can be defined based on comprehensive factors such as frequency resources, investment conditions, and user service quality.

[0052] The above is only an embodiment of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the field are aware of all common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the field can improve and implement this scheme in combination with their own abilities under the inspiration given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A 5G coverage capacity planning method for a scenario with limited space and high traffic demand, characterized in that: Includes the following: S1. Obtain a drawing of the scene to be planned and identify the building height of the sunshade roof and the power supply location of the equipment in the scene; S2. Collect operator penetration rates, analyze historical venue major event support business models, and estimate the number of users in a full-seat scenario. S3. Conduct a site survey of the planned scenario to obtain on-site information, including: number of seats, distribution of aisle isolation zones, location of mains power supply, and feasibility of mounting antennas on surrounding buildings; S4, perform on-site propagation model correction; S5. Select simulation planning software; S6. Correct the propagation model in the simulation software; S7. Calculate the number of cells required for the venue based on the number of seats N, operator penetration R, user concurrent usage rate r, single-user rate experience S, and base station cell capacity C. S8. Select a rectangular antenna based on the available antenna installation locations in the venue and install it in the available antenna installation locations in the venue. S9. Plan the venue antenna and adjacent cells based on the on-site survey information, the coverage of the single cell of the shaped antenna, and the number of cells; S10. Plan the location of the equipment room and cable routing based on the surveyed mains power supply location and available cable routing; S11. Setting the initial power parameters of the simulation according to the power information supported by the selected source device; S12. Iterate the simulation by adjusting the antenna position, power, azimuth angle, and elevation angle according to the propagation model; S13. Output a design solution that meets coverage and capacity requirements.

2. The 5G coverage capacity planning method in a limited space and high traffic demand scenario according to claim 1 is characterized in that: The S4 includes: PL (dB) = 20log10 (d) + 20log10 (f) + K, where d is the propagation distance; f is the selected frequency, K is the path fading factor, and the path fading factor is corrected by the transmitter transmitting power and the receiver receiving power on site.

3. The 5G coverage capacity planning method in a limited space and high traffic demand scenario according to claim 2 is characterized in that: The number of cells required for the venue = N*S*R*r / C.

4. The 5G coverage capacity planning method in a limited space and high traffic demand scenario according to claim 1 is characterized in that: The coverage and capacity requirements are as follows: the signal strength in the venue is -85dBm, accounting for no less than 95%, SINR ≥ 3dB, accounting for no less than 95%, and the rate is no less than 2MB / s when simulating 85% of the users are loaded.

Images