WO1994003986A1 - Computer-implemented modelling system for wireless communications systems - Google Patents

Computer-implemented modelling system for wireless communications systems Download PDF

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Publication number
WO1994003986A1
WO1994003986A1 PCT/US1993/005112 US9305112W WO9403986A1 WO 1994003986 A1 WO1994003986 A1 WO 1994003986A1 US 9305112 W US9305112 W US 9305112W WO 9403986 A1 WO9403986 A1 WO 9403986A1
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WIPO (PCT)
Prior art keywords
set forth
displaying
data
computers
wireless communications
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PCT/US1993/005112
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French (fr)
Inventor
William Chien-Yeh Lee
Jerry Wayne Sprecher
Robert Scott Dudewicz
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Airtouch Communications
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Publication date
Application filed by Airtouch Communications filed Critical Airtouch Communications
Publication of WO1994003986A1 publication Critical patent/WO1994003986A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools

Definitions

  • the present invention relates to a computer- implemented system for the design and development of wireless communication systems.
  • the present invention discloses a modelling system integrated with a comprehensive set of software tools for the design, development and management of cellular telephone networks.
  • the present invention discloses a computer- implemented modelling system having a comprehensive set of software tools specifically developed for the design, development and management of wireless communications systems.
  • the computer-implemented modelling system is a radio engineer's tool kit, designed to streamline development of wireless communications networks and related applications.
  • the computer-implemented modelling system comprises means for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a system service area.
  • the computer-implemented modelling system is derived from models disclosed in W.C.Y.
  • the present invention provides computer-implemented means for determining how to plan frequency assignments for cell sites. Automated frequency assignment planning allows the engineer to optimize the assignment of frequencies to cell sites within the wireless communications system.
  • the present invention also provides computer- implemented means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to determine the optimum placement of cell sites. Such automated cell location planning facilitates network optimization by the engineer.
  • the present invention provides computer- implemented means for using digital satellite terrain data, as well as three dimensional viewing of the terrain data. Satellite data provides more accuracy than traditional topological data. Three dimensional viewing of the terrain allows the engineer to make design decisions dependant upon the viewed topology of a desired service area.
  • the present invention provides computer- implemented means for measurement integration to refine the accuracy of the modelling system. Measurement integration allows the engineer to adjust the predicted data based on measured data collected from field sites.
  • the system disclosed in the present application was conceived as an integrated solution to the problem of designing wireless communications systems. Of course, one skilled in the art will appreciate that the invention is not limited to cellular telephone networks, but may be used with any wireless communications systems. Using the present invention, the development time and expense associated with the design, development, and maintenance of wireless communications system can be reduced.
  • FIG. 1 is a diagram depicting the hardware architecture of the preferred embodiment in accordance with the principles of the present invention.
  • Figure 2 is a diagram depicting the preferred components of the computer-implemented modelling system in accordance with the present invention
  • Figure 3 illustrates the hierarchy of the computer- implemented modelling system
  • Figure 4 is a flow chart illustrating the entry and verification of the digital satellite data into the computer-implemented modelling system
  • Figure 5 is a flow chart illustrating the three dimensional display capability of the computer-implemented modelling system
  • Figure 6 is a flow chart illustrating how the three dimensional display capability of the computer-implemented modelling system supports the placement of microwave systems
  • Figure 7 is a flow chart illustrating the automated frequency assignment planning performed by the computer- implemented modelling system
  • Figure 8 is a flow chart illustrating the management of the frequency assignment plans performed by the computer-implemented modelling system
  • Figure 9 is a flow chart illustrating the automated cell location planning performed by the computer- implemented modelling system
  • Figure 10 is a flow chart illustrating the measurement integration performed by the computer-implemented modelling system.
  • the preferred embodiment of the present invention described herein is a computer-implemented modelling system for the design of wireless communications systems.
  • the computer-implemented modelling system has a comprehensive set of software tools specifically developed for the design, development and management cellular telephone networks.
  • the computer-implemented modelling system comprises means for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a system service area.
  • the computer-implemented modelling system is derived from models disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein.
  • the present invention provides computer-implemented means for determining how to plan frequency assignments for cell sites. Automated frequency assignment planning allows the engineer to optimize the assignment of frequencies to cell sites within the cellular telephone network.
  • the present invention also provides computer- implemented means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to optimize placement of cell sites.
  • Such automated cell location planning facilitates network optimization by the engineer.
  • the present invention provides computer- implemented means for using digital satellite terrain data, as well as three dimensional viewing of the terrain data. Satellite data is generally more accurate than traditional sources of topographical data. Three dimensional viewing of the terrain allows the engineer to make design decisions dependant upon the viewed topology of a desired service area.
  • the present invention provides computer- implemented means for measurement integration to refine the accuracy of the modelling system. Measurement integration allows the engineer to adjust the predicted data based on measured data collected from field sites.
  • FIG. 1 is a diagram depicting the hardware architecture of a computer-implemented modelling system for cellular telephone networks, in accordance with the principles of the present invention, including a workstation 10 and a relational database engine 12 for data storage and access.
  • the engineer has the ability to specif user constants 14 for the modelling process.
  • the results of the modelling process can be displayed on a graphic display monitor 16 controlled by graphic drivers 18. Plots and printouts of the results of the modelling process can be downloaded from the workstation 10 to printers and plotters 20.
  • the database 12 comprises a number of different types of information for the modelling process, including FAA and airport information 22, terrain data 24, geomorphic data 26, cell site parameters 28, frequency plans 30, FCC information 32, Carey data 34, overlays 36 of streets or other information, and demographic data 38.
  • the FAA and airport information 22 is either fed into the database 12 automatically or input by the engineer manually.
  • the digitized terrain elevation data 24 and the geomorphic data 26 are created from satellite photographs.
  • the demographic data 38 is typically purchased from vendors for entry into the database 12 or entered manually by the engineer.
  • Cell site parameters 28 and frequency plans 30 are typically generated and collected by the engineer for entry into the database 12.
  • the FCC information 32 is generated by the system and stored for future reference.
  • Carey data 34 is also generated by the system and stored for future reference. Overlays 36 of streets are typically purchased or digitized.
  • FIG. 2 is a diagram depicting the preferred components of the computer-implemented modelling system 40 in accordance with the present invention.
  • a terrain formatting process 42 receives satellite geographical topology data 44 in order to create digital terrain data that is sent to the predictive modelling system 40.
  • the engineer can set the desired coordinate boundaries 46 for the predictive modelling system 40 in order to establish the physical limitations to the predictions.
  • Mathematical models 48 are used by the modelling system 40 to perform numerous calculations for automatically planning frequency assignments, automatically determining predicted signal coverage, and automatically planning cell site capacity.
  • the mathematical models 48 used by the modelling system 40 to automatically plan cell site capacity includes mathematical models for determining how to increase capacity at cell sites, determining how to split the cells, and determining the optimum placement of cell sites.
  • the models conform to those disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein, although other models could be used as well.
  • the calculations required by the mathematical models require many variables which are supplied by the different databases 50. Once the calculations are completed, the data is stored in the database 50 for later retrieval and use. Additionally, system parameters 52, such as grid resolution, are entered by the engineer and stored for future reference.
  • Figure 3 illustrates the logical hierarchy of some of the other features of the modelling system 40.
  • Digitized satellite data 54 is entered into the modelling system 40 to provide more accurate topological representations of a service area, so that the engineer can make more accurate design decisions.
  • Three dimensional viewing of the terrain 56 is provided to minimize the amount of field work necessary to design the network.
  • Automated frequency assignment planning 58 allows the engineer to set the rules the modelling system 40 uses to assign frequencies among cell sites.
  • Automated cell site planning 60 facilitates network optimization by determining the optimum placement of cell sites, determining how to increase the capacity of cell sites, and determining how to split cell sites to support additional growth.
  • Measurement integration 62 allows the engineer to adjust the modelling system 40 based on measured data collected in the field sites.
  • Figure 4 is a flow chart illustrating the entry and verification of the digital satellite data into the modelling system 40.
  • satellite data has a higher resolution than data purchased from the U.S. Geological Survey or the U.S. Defense Map Agency. Further, it is considered to be more accurate.
  • Block 64 represents the review of the satellite photographs prior to loading them into the modelling system 40.
  • Block 66 represents a decision point where the engineer can decide whether there is excess cloud cover in the photographs.
  • Block 68 is performed when there is excess cloud cover and new satellite photographs are required.
  • block 70 represents the terrain formatting process 42 converting the satellite photographs into digital terrain data for use by the modelling system 40, wherein the digital terrain data provides more accurate topological representations of a service area, so that the engineer can make more accurate design decisions.
  • terrain data includes a terrain elevation value, or above mean sea level (AMSL) number, for each latitude and longitude point therein.
  • Block 72 represents the plotting and display of the terrain data on the printer/plotter 20 and the graphics display monitor 16 for the engineer.
  • Block 74 represents a decision point where the engineer can decide to override the values of the terrain data, preferably to specify more accurate values.
  • Block 76 represents the entry of an override AMSL value by the engineer.
  • Block 78 represents the loading of the terrain data into the database 50 for further use by the modelling system 40.
  • Three Dimensional Terrain View Figure 5 is a flow chart illustrating the three dimensional display capability of the computer-implemented modelling system 40.
  • the function of the three dimensional displays is primarily to eliminate the need for engineers to perform field work, because the three dimensional displays are a reasonable similarity to the real terrain.
  • the engineer can determine whether features of the terrain block line-of-sight transmissions from cell sites.
  • Block 80 represents the selection of a utilities menu from which the three dimensional terrain view is displayed on a graphics display monitor 16.
  • Block 82 represents the selection of a cell site or input coordinates by the engineer for the terrain they would like to see.
  • Block 84 represents the modification of color thresholds by the engineer to facilitate ease of operation, for example, by using color to differentiate between various terrain or elevation features.
  • Block 86 represents the function wherein the terrain field can be zoomed in and out, as well as panned and rotated, thereby providing the engineer with a complete overview of the service area.
  • Block 88 is a decision block wherein the engineer can decide whether to plot out the screen image on a plotter 20.
  • Block 90 performs the plotting function.
  • Block 92 represents the modelling system's 40 ability to overlay geomorphic elements, including transmitter towers, road networks, etc. , on the terrain view as well as the ability to overlay signal propagation predictions on the terrain view. Further, block 92 represents the ability of the engineer to point at any spot on the three dimensional terrain view displayed on the graphics display monitor 16 and have the modelling system 40 return the latitude and longitude values as well as the elevation value stored for the selected point.
  • Figure 6 is a flow chart illustrating how the three dimensional display capability of the computer-implemented modelling system 40 supports the placement of microwave systems.
  • the three dimensional terrain view displayed on a graphics display monitor 16 has special application to microwave placement, because of the need for line-of-sight transmissions between microwave sites.
  • the three dimensional terrain view shows the engineer the terrain between two potential microwave sites. These displays also show the engineer parameters regarding the microwave path.
  • Block 94 represents the engineer choosing a microwave line-of-site path between two points (spot and return location) either from the database 50 or by entering locations manually into the modelling system 40.
  • Block 96 represents the modelling system 40 graphically illustrating the terrain on the chosen path. The engineer is also able to view important parameters related to the microwave sites on the graphic display 16.
  • Block 98 is a decision block wherein the modelling system 40 enables the engineer to determine whether the path is blocked or not.
  • Block 100 represents the plotting of this display by the modelling system 40 at the engineer's request.
  • FIG. 7 is a flow chart illustrating the automated frequency assignment planning performed by the computer- implemented modelling system 40.
  • the function of frequency assignment planning is to divide the total number of available channels, i.e., frequencies, in the network into subsets which can be assigned to each cell site. Further, a certain amount of channel sharing can exist in the network, typically so long as adjacent cell sites do not attempt to share the same channel, which would cause interference. Additionally, frequency assignment planning must also take into account any sectorization in a cell site, wherein the sector angles of the various sectors typically determine the number of channels that can be assigned in the sectors without increasing neighboring channel interference.
  • the modelling system 40 allows the engineer to determine frequency assignments in a manner providing the most optimal solution for the network.
  • Block 104 represents the display of a list of existing frequency assignment plans on the graphics display monitor 16.
  • Block 106 is a decision block wherein the engineer either selects and retrieves an existing plan or initiates a new plan; block 108 represents the retrieval of the existing plan.
  • Blocks 110-116 represent the defining by the engineer of various criteria for the frequency assignment planning to be performed by the modelling system 40, including blocking probabilities 110, the percentage change allowed to the network 112, the percentage of interference allowed in the network 114, and the amount of time the modelling system 40 can take in determining optimal solutions 116.
  • block 118 represents the modelling system 40 making the determination which of one or more possible frequency assignment plans provides an optimal solution.
  • the modelling system 40 uses the frequency assignment planning techniques disclosed in W.C.Y.
  • Block 120 represents the modelling system 40 displaying the solutions for the engineer according to their degree of optimality, i.e., from those which are most optimal to those which are least optimal, according to the defined criteria.
  • Figure 8 is a flow chart illustrating the management of the frequency assignment plans performed by the computer-implemented modelling system 40.
  • Block 122 represents the selection of a database menu for managing the frequency assignment plans.
  • Block 124 represents the listing of current frequency assignment plans from the database 50.
  • Block 126 represents the functions of adding, modifying or deleting frequency assignment plans from the database 50.
  • Block 128 represents the modelling system 40 capability of displaying and reporting the frequency assignments by sector, including the capability of plotting such assignments on the plotter 20.
  • AUTOMATED CELL SITE PLANNING Figure 9 is a flow chart illustrating the automated cell location planning performed by the computer- implemented modelling system 40.
  • the function of cell site planning is to increase the traffic capacity of a cell site as the demand for additional capacity increases. Further, the repercussions of increased capacity in one cell site on surrounding cell sites must be considered, to minimize or eliminate any interference that the increased capacity would cause. Additionally, such planning must take into account the demographics of the service area and trending information so that the increase in capacity will satisfy growth expectations for some predetermined period of time, thereby eliminating the need to perform costly upgrades again sooner than expected.
  • the engineer can determine capacity upgrades in a manner providing the most optimal solution for the network.
  • Block 130 represents the loading of a database 50 of demographics data into the modelling system 40.
  • Block 132 represents the loading of a database 50 of cell site usage and trending data into the modelling system 40.
  • Block 134 represents the engineer selecting and retrieving a frequency assignment plan that reflects the current network design.
  • Block 136 represents the modelling system 40 determining which of one or more cell sites require additional capacity as well as an optimal solution for providing that additional capacity.
  • the modelling system 40 uses the cell site planning techniques disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein. Generally, these solutions will take one of three forms: (1) splitting the cell site into two cell sites; (2) adding new sectors to an existing cell site; or (3) adding more capacity at the existing cell site.
  • Block 138 is a decision block wherein control is transferred to blocks 140, 142, or 146, depending on how the additional capacity is handled.
  • Block 140 represents the addition of more capacity to the existing cell site, i.e., the addition of more channels to the cell site. This typically requires an investment in additional transceivers and other equipment at the cell site.
  • Block 142 represents the addition of new sectors to the existing cell site, which typically requires the addition of directional antennae to the cell site.
  • Block 144 represents the updating of parameters for all sectors in the cell site.
  • Block 146 represents the splitting of the cell site into two cell sites.
  • Block 148 represents the determination of the boundaries for the old and new cell sites, which typically occurs without moving the transmitter for the old cell site.
  • Block 150 represents the determination of the optimal transmitter location for the new cell site.
  • Block 152 represents the updating of parameters for the old and new cell sites.
  • the modelling system 40 preferably displays one or more solutions according to their degree of optimality, i.e., from those which are most optimal to those which are least optimal, according to the defined criteria.
  • Figure 10 is a flow chart illustrating the measurement integration performed by the computer-implemented modelling system 40.
  • the function of measurement integration is to increase the accuracy of the modelling system 40 as more "real world" data is collected.
  • measurement integration ensures that the modelling system 40 provides optimal solutions to the network design problems.
  • Block 154 represents the collection of a database 50 of measured data for loading into he modelling system 40. Typically, this measured data is derived using testing which "drive" the cellular telephone network. Additionally, an engineer may take field measurements and collect standard network performance, billing and alarming information for inclusion into the database 50.
  • Block 156 represents the conversion of the collected measured data into a format suitable for use by the modelling system 40.
  • Block 158 represents the modelling system 40 graphically displaying or plotting the data.
  • Block 160 represents the modelling system 40 comparing calculated and stored predicted data against the measured data.
  • Block 162 represents the modelling system 40 determining the statistical adjustments to make to the predicted data so that it more closely matches the measured data in terms of results.
  • Block 164 represents the modelling system 40 reporting the statistical adjustments to the engineer and block 166 represents the modelling system 40 storing the statistical adjustments.
  • the present invention discloses a computer-implemented modelling system having a comprehensive set of software tools specifically developed for the design, development and management of wireless communications systems.
  • the computer-implemented modelling system comprises means for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a system service area.
  • the computer-implemented modelling system is derived from models disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein.
  • the present invention provides computer-implemented means for determining how to plan frequency assignments for cell sites. Automated frequency assignment planning allows the engineer to optimize the assignment of frequencies to cell sites within the cellular telephone network.
  • the present invention also provides computer- implemented means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to determine the optimum placement of cell sites. Such automated cell location planning facilitates network optimization by the engineer.
  • the present invention provides computer- implemented means for using digital satellite terrain data, and three dimensional viewing of the terrain data. Satellite data is considered more accurate than other forms of terrain data. Three dimensional viewing of the terrain allows the engineer to make design decisions dependant upon the viewed topology of a desired service area.
  • the present invention provides computer- implemented means for measurement integration to refine the accuracy of the modelling system. Measurement integration allows the engineer to adjust the predicted data based on measured data collected in the field sites.
  • the system disclosed in the present application was conceived as an integrated solution to the problem of designing wireless communications systems. Of course, one skilled in the art will appreciate that the invention is not limited to cellular telephone networks, but may be used with any wireless communications systems. Using the present invention, the development time and expense associated with the design, development and management of wireless communications system can be reduced.

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

A computer-implemented modelling system integrated with a comprehensive set of software tools for wireless communications system design, management, and expansion. System simulation is provided for calculating predictive coverage areas and displaying street and topology data quickly and efficiently so that the design time is reduced and unforeseen interference effects and capacitive limitations are avoided. The computer-implemented modelling system determines the optimum placement of cell sites, how to split the cells and automatically plans the frequency allocations for the wireless communications system design. Design tools are provided for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format.

Description

COMPUTER-IMPLEMENTED MODELLING SYSTEM FOR WIRELESS COMMUNICATIONS SYSTEMS
BACKGROUND OF THE INVENTION 1. Field Of The Invention.
The present invention relates to a computer- implemented system for the design and development of wireless communication systems. In particular, the present invention discloses a modelling system integrated with a comprehensive set of software tools for the design, development and management of cellular telephone networks.
2. Description Of Related Art.
In the design and management of cellular telephone networks, many critical decisions must be made. For example, engineers must design the network to maximize the coverage of the geographic area with the minimum number of cell sites. In addition, interference problems must be studied so that their effect is minimized. Further, the blocking probability of each cell site must be analyzed to ensure proper call initiation.
Many practical methods of designing cellular telephone networks are available to the designer. However, no system currently exists that provides all the tools needed by the designer.
SUMMARY OF THE INVENTION To overcome the limitations in the prior art described above, and to overcome other limitations that will become apparent upon reading and understanding this specification, the present invention discloses a computer- implemented modelling system having a comprehensive set of software tools specifically developed for the design, development and management of wireless communications systems. The computer-implemented modelling system is a radio engineer's tool kit, designed to streamline development of wireless communications networks and related applications. Generally, the computer-implemented modelling system comprises means for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a system service area. Preferably, the computer-implemented modelling system is derived from models disclosed in W.C.Y. Lee, Mobile Cellular Te1ecommunications Systerns, McGraw-Hill Book Company, 1989, incorporated by reference herein. However, more specific features are also provided in the present invention. For example, the present invention provides computer-implemented means for determining how to plan frequency assignments for cell sites. Automated frequency assignment planning allows the engineer to optimize the assignment of frequencies to cell sites within the wireless communications system.
The present invention also provides computer- implemented means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to determine the optimum placement of cell sites. Such automated cell location planning facilitates network optimization by the engineer. In addition, the present invention provides computer- implemented means for using digital satellite terrain data, as well as three dimensional viewing of the terrain data. Satellite data provides more accuracy than traditional topological data. Three dimensional viewing of the terrain allows the engineer to make design decisions dependant upon the viewed topology of a desired service area.
Further, the present invention provides computer- implemented means for measurement integration to refine the accuracy of the modelling system. Measurement integration allows the engineer to adjust the predicted data based on measured data collected from field sites. The system disclosed in the present application was conceived as an integrated solution to the problem of designing wireless communications systems. Of course, one skilled in the art will appreciate that the invention is not limited to cellular telephone networks, but may be used with any wireless communications systems. Using the present invention, the development time and expense associated with the design, development, and maintenance of wireless communications system can be reduced.
DESCRIPTION OF THE DRAWINGS
Referring now to the drawings in which like reference numbers represent corresponding parts throughout:
Figure 1 is a diagram depicting the hardware architecture of the preferred embodiment in accordance with the principles of the present invention;
Figure 2 is a diagram depicting the preferred components of the computer-implemented modelling system in accordance with the present invention; Figure 3 illustrates the hierarchy of the computer- implemented modelling system;
Figure 4 is a flow chart illustrating the entry and verification of the digital satellite data into the computer-implemented modelling system; Figure 5 is a flow chart illustrating the three dimensional display capability of the computer-implemented modelling system;
Figure 6 is a flow chart illustrating how the three dimensional display capability of the computer-implemented modelling system supports the placement of microwave systems;
Figure 7 is a flow chart illustrating the automated frequency assignment planning performed by the computer- implemented modelling system; Figure 8 is a flow chart illustrating the management of the frequency assignment plans performed by the computer-implemented modelling system; Figure 9 is a flow chart illustrating the automated cell location planning performed by the computer- implemented modelling system; and
Figure 10 is a flow chart illustrating the measurement integration performed by the computer-implemented modelling system.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
In the following Detailed Description of the Preferred Embodiment, reference is made to the accompanying Drawings which form a part hereof, and in which is shown by way of illustration embodiments in which the invention may be practiced. It is to be understood that other embodiments may be utilized, and changes may be made to both the process and the structure without departing from the scope of the present invention.
GENERAL DESCRIPTION The preferred embodiment of the present invention described herein is a computer-implemented modelling system for the design of wireless communications systems. The computer-implemented modelling system has a comprehensive set of software tools specifically developed for the design, development and management cellular telephone networks. Generally, the computer-implemented modelling system comprises means for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a system service area. Preferably, the computer-implemented modelling system is derived from models disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein. However, more specific features are also provided in the present invention. For example, the present invention provides computer-implemented means for determining how to plan frequency assignments for cell sites. Automated frequency assignment planning allows the engineer to optimize the assignment of frequencies to cell sites within the cellular telephone network.
The present invention also provides computer- implemented means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to optimize placement of cell sites. Such automated cell location planning facilitates network optimization by the engineer.
In addition, the present invention provides computer- implemented means for using digital satellite terrain data, as well as three dimensional viewing of the terrain data. Satellite data is generally more accurate than traditional sources of topographical data. Three dimensional viewing of the terrain allows the engineer to make design decisions dependant upon the viewed topology of a desired service area.
Further, the present invention provides computer- implemented means for measurement integration to refine the accuracy of the modelling system. Measurement integration allows the engineer to adjust the predicted data based on measured data collected from field sites.
The system disclosed in the present application was conceived as an integrated solution to the problem of designing wireless communications systems. Of course, one skilled in the art will appreciate that the invention is not limited to cellular telephone networks, but may be used with any wireless communications systems. Using the present invention, the development time and expense associated with the design, development, and maintenance of wireless communications system can be reduced. OVERVIEW Figure 1 is a diagram depicting the hardware architecture of a computer-implemented modelling system for cellular telephone networks, in accordance with the principles of the present invention, including a workstation 10 and a relational database engine 12 for data storage and access. The engineer has the ability to specif user constants 14 for the modelling process. The results of the modelling process can be displayed on a graphic display monitor 16 controlled by graphic drivers 18. Plots and printouts of the results of the modelling process can be downloaded from the workstation 10 to printers and plotters 20.
The database 12 comprises a number of different types of information for the modelling process, including FAA and airport information 22, terrain data 24, geomorphic data 26, cell site parameters 28, frequency plans 30, FCC information 32, Carey data 34, overlays 36 of streets or other information, and demographic data 38. The FAA and airport information 22 is either fed into the database 12 automatically or input by the engineer manually. The digitized terrain elevation data 24 and the geomorphic data 26 are created from satellite photographs. The demographic data 38 is typically purchased from vendors for entry into the database 12 or entered manually by the engineer. Cell site parameters 28 and frequency plans 30 are typically generated and collected by the engineer for entry into the database 12. The FCC information 32 is generated by the system and stored for future reference. Carey data 34 is also generated by the system and stored for future reference. Overlays 36 of streets are typically purchased or digitized.
Those skilled in the art will readily recognize that any combination of workstations 10, database engine 12, graphic display monitor 16, graphics drivers 18, plotter/printer 20 and databases 22-38 could be substituted for the configuration shown. Figure 2 is a diagram depicting the preferred components of the computer-implemented modelling system 40 in accordance with the present invention. A terrain formatting process 42 receives satellite geographical topology data 44 in order to create digital terrain data that is sent to the predictive modelling system 40. The engineer can set the desired coordinate boundaries 46 for the predictive modelling system 40 in order to establish the physical limitations to the predictions. Mathematical models 48 are used by the modelling system 40 to perform numerous calculations for automatically planning frequency assignments, automatically determining predicted signal coverage, and automatically planning cell site capacity. Further, the mathematical models 48 used by the modelling system 40 to automatically plan cell site capacity includes mathematical models for determining how to increase capacity at cell sites, determining how to split the cells, and determining the optimum placement of cell sites. Preferably, the models conform to those disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein, although other models could be used as well.
The calculations required by the mathematical models require many variables which are supplied by the different databases 50. Once the calculations are completed, the data is stored in the database 50 for later retrieval and use. Additionally, system parameters 52, such as grid resolution, are entered by the engineer and stored for future reference.
Figure 3 illustrates the logical hierarchy of some of the other features of the modelling system 40. Digitized satellite data 54 is entered into the modelling system 40 to provide more accurate topological representations of a service area, so that the engineer can make more accurate design decisions. Three dimensional viewing of the terrain 56 is provided to minimize the amount of field work necessary to design the network. Automated frequency assignment planning 58 allows the engineer to set the rules the modelling system 40 uses to assign frequencies among cell sites. Automated cell site planning 60 facilitates network optimization by determining the optimum placement of cell sites, determining how to increase the capacity of cell sites, and determining how to split cell sites to support additional growth. Measurement integration 62 allows the engineer to adjust the modelling system 40 based on measured data collected in the field sites.
DIGITAL SATELLITE TERRAIN DATA Figure 4 is a flow chart illustrating the entry and verification of the digital satellite data into the modelling system 40. Typically, satellite data has a higher resolution than data purchased from the U.S. Geological Survey or the U.S. Defense Map Agency. Further, it is considered to be more accurate. Block 64 represents the review of the satellite photographs prior to loading them into the modelling system 40. Block 66 represents a decision point where the engineer can decide whether there is excess cloud cover in the photographs. Block 68 is performed when there is excess cloud cover and new satellite photographs are required. When the satellite photographs are suitable, block 70 represents the terrain formatting process 42 converting the satellite photographs into digital terrain data for use by the modelling system 40, wherein the digital terrain data provides more accurate topological representations of a service area, so that the engineer can make more accurate design decisions. Such terrain data includes a terrain elevation value, or above mean sea level (AMSL) number, for each latitude and longitude point therein. Block 72 represents the plotting and display of the terrain data on the printer/plotter 20 and the graphics display monitor 16 for the engineer. Block 74 represents a decision point where the engineer can decide to override the values of the terrain data, preferably to specify more accurate values. Block 76 represents the entry of an override AMSL value by the engineer. Block 78 represents the loading of the terrain data into the database 50 for further use by the modelling system 40.
THREE DIMENSIONAL VIEWING OF TERRAIN
A. Three Dimensional Terrain View Figure 5 is a flow chart illustrating the three dimensional display capability of the computer-implemented modelling system 40. The function of the three dimensional displays is primarily to eliminate the need for engineers to perform field work, because the three dimensional displays are a reasonable similarity to the real terrain. Thus, using the modelling system 40, the engineer can determine whether features of the terrain block line-of-sight transmissions from cell sites.
Block 80 represents the selection of a utilities menu from which the three dimensional terrain view is displayed on a graphics display monitor 16. Block 82 represents the selection of a cell site or input coordinates by the engineer for the terrain they would like to see. Block 84 represents the modification of color thresholds by the engineer to facilitate ease of operation, for example, by using color to differentiate between various terrain or elevation features. Block 86 represents the function wherein the terrain field can be zoomed in and out, as well as panned and rotated, thereby providing the engineer with a complete overview of the service area. Block 88 is a decision block wherein the engineer can decide whether to plot out the screen image on a plotter 20. Block 90 performs the plotting function. Block 92 represents the modelling system's 40 ability to overlay geomorphic elements, including transmitter towers, road networks, etc. , on the terrain view as well as the ability to overlay signal propagation predictions on the terrain view. Further, block 92 represents the ability of the engineer to point at any spot on the three dimensional terrain view displayed on the graphics display monitor 16 and have the modelling system 40 return the latitude and longitude values as well as the elevation value stored for the selected point.
B. Microwave Placement
Figure 6 is a flow chart illustrating how the three dimensional display capability of the computer-implemented modelling system 40 supports the placement of microwave systems. The three dimensional terrain view displayed on a graphics display monitor 16 has special application to microwave placement, because of the need for line-of-sight transmissions between microwave sites. The three dimensional terrain view shows the engineer the terrain between two potential microwave sites. These displays also show the engineer parameters regarding the microwave path. Block 94 represents the engineer choosing a microwave line-of-site path between two points (spot and return location) either from the database 50 or by entering locations manually into the modelling system 40. Block 96 represents the modelling system 40 graphically illustrating the terrain on the chosen path. The engineer is also able to view important parameters related to the microwave sites on the graphic display 16. Block 98 is a decision block wherein the modelling system 40 enables the engineer to determine whether the path is blocked or not. Block 100 represents the plotting of this display by the modelling system 40 at the engineer's request.
AUTOMATED FREQUENCY ASSIGNMENT PLANNING A. Frequency Assignment Planning. Figure 7 is a flow chart illustrating the automated frequency assignment planning performed by the computer- implemented modelling system 40. The function of frequency assignment planning is to divide the total number of available channels, i.e., frequencies, in the network into subsets which can be assigned to each cell site. Further, a certain amount of channel sharing can exist in the network, typically so long as adjacent cell sites do not attempt to share the same channel, which would cause interference. Additionally, frequency assignment planning must also take into account any sectorization in a cell site, wherein the sector angles of the various sectors typically determine the number of channels that can be assigned in the sectors without increasing neighboring channel interference. Thus, the modelling system 40 allows the engineer to determine frequency assignments in a manner providing the most optimal solution for the network.
Block 104 represents the display of a list of existing frequency assignment plans on the graphics display monitor 16. Block 106 is a decision block wherein the engineer either selects and retrieves an existing plan or initiates a new plan; block 108 represents the retrieval of the existing plan. Blocks 110-116 represent the defining by the engineer of various criteria for the frequency assignment planning to be performed by the modelling system 40, including blocking probabilities 110, the percentage change allowed to the network 112, the percentage of interference allowed in the network 114, and the amount of time the modelling system 40 can take in determining optimal solutions 116. Once the criteria are defined, block 118 represents the modelling system 40 making the determination which of one or more possible frequency assignment plans provides an optimal solution. Preferably, the modelling system 40 uses the frequency assignment planning techniques disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein. Block 120 represents the modelling system 40 displaying the solutions for the engineer according to their degree of optimality, i.e., from those which are most optimal to those which are least optimal, according to the defined criteria.
B. Management of Frequency Assignment Plans.
Figure 8 is a flow chart illustrating the management of the frequency assignment plans performed by the computer-implemented modelling system 40. Block 122 represents the selection of a database menu for managing the frequency assignment plans. Block 124 represents the listing of current frequency assignment plans from the database 50. Block 126 represents the functions of adding, modifying or deleting frequency assignment plans from the database 50. Block 128 represents the modelling system 40 capability of displaying and reporting the frequency assignments by sector, including the capability of plotting such assignments on the plotter 20.
AUTOMATED CELL SITE PLANNING Figure 9 is a flow chart illustrating the automated cell location planning performed by the computer- implemented modelling system 40. The function of cell site planning is to increase the traffic capacity of a cell site as the demand for additional capacity increases. Further, the repercussions of increased capacity in one cell site on surrounding cell sites must be considered, to minimize or eliminate any interference that the increased capacity would cause. Additionally, such planning must take into account the demographics of the service area and trending information so that the increase in capacity will satisfy growth expectations for some predetermined period of time, thereby eliminating the need to perform costly upgrades again sooner than expected. Thus, using the modelling system 40, the engineer can determine capacity upgrades in a manner providing the most optimal solution for the network.
Block 130 represents the loading of a database 50 of demographics data into the modelling system 40. Block 132 represents the loading of a database 50 of cell site usage and trending data into the modelling system 40. Block 134 represents the engineer selecting and retrieving a frequency assignment plan that reflects the current network design. Block 136 represents the modelling system 40 determining which of one or more cell sites require additional capacity as well as an optimal solution for providing that additional capacity. Preferably, the modelling system 40 uses the cell site planning techniques disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein. Generally, these solutions will take one of three forms: (1) splitting the cell site into two cell sites; (2) adding new sectors to an existing cell site; or (3) adding more capacity at the existing cell site. Block 138 is a decision block wherein control is transferred to blocks 140, 142, or 146, depending on how the additional capacity is handled.
Block 140 represents the addition of more capacity to the existing cell site, i.e., the addition of more channels to the cell site. This typically requires an investment in additional transceivers and other equipment at the cell site.
Block 142 represents the addition of new sectors to the existing cell site, which typically requires the addition of directional antennae to the cell site. Block 144 represents the updating of parameters for all sectors in the cell site.
Block 146 represents the splitting of the cell site into two cell sites. Block 148 represents the determination of the boundaries for the old and new cell sites, which typically occurs without moving the transmitter for the old cell site. Block 150 represents the determination of the optimal transmitter location for the new cell site. Block 152 represents the updating of parameters for the old and new cell sites.
In all of the above alternatives, the modelling system 40 preferably displays one or more solutions according to their degree of optimality, i.e., from those which are most optimal to those which are least optimal, according to the defined criteria.
MEASUREMENT INTEGRATION
Figure 10 is a flow chart illustrating the measurement integration performed by the computer-implemented modelling system 40. The function of measurement integration is to increase the accuracy of the modelling system 40 as more "real world" data is collected. Preferably, an iterative process, measurement integration ensures that the modelling system 40 provides optimal solutions to the network design problems.
Block 154 represents the collection of a database 50 of measured data for loading into he modelling system 40. Typically, this measured data is derived using testing which "drive" the cellular telephone network. Additionally, an engineer may take field measurements and collect standard network performance, billing and alarming information for inclusion into the database 50. Block 156 represents the conversion of the collected measured data into a format suitable for use by the modelling system 40. Block 158 represents the modelling system 40 graphically displaying or plotting the data. Block 160 represents the modelling system 40 comparing calculated and stored predicted data against the measured data. Block 162 represents the modelling system 40 determining the statistical adjustments to make to the predicted data so that it more closely matches the measured data in terms of results. Block 164 represents the modelling system 40 reporting the statistical adjustments to the engineer and block 166 represents the modelling system 40 storing the statistical adjustments.
CONCLUSION This concludes the description of the preferred embodiment of the invention. In summary, the present invention discloses a computer-implemented modelling system having a comprehensive set of software tools specifically developed for the design, development and management of wireless communications systems. Generally, the computer-implemented modelling system comprises means for creating, storing, retrieving, editing, and calculating system specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a system service area. Preferably, the computer-implemented modelling system is derived from models disclosed in W.C.Y. Lee, Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989, incorporated by reference herein.
However, more specific features are also provided in the present invention. For example, the present invention provides computer-implemented means for determining how to plan frequency assignments for cell sites. Automated frequency assignment planning allows the engineer to optimize the assignment of frequencies to cell sites within the cellular telephone network.
The present invention also provides computer- implemented means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to determine the optimum placement of cell sites. Such automated cell location planning facilitates network optimization by the engineer. In addition, the present invention provides computer- implemented means for using digital satellite terrain data, and three dimensional viewing of the terrain data. Satellite data is considered more accurate than other forms of terrain data. Three dimensional viewing of the terrain allows the engineer to make design decisions dependant upon the viewed topology of a desired service area.
Further, the present invention provides computer- implemented means for measurement integration to refine the accuracy of the modelling system. Measurement integration allows the engineer to adjust the predicted data based on measured data collected in the field sites. The system disclosed in the present application was conceived as an integrated solution to the problem of designing wireless communications systems. Of course, one skilled in the art will appreciate that the invention is not limited to cellular telephone networks, but may be used with any wireless communications systems. Using the present invention, the development time and expense associated with the design, development and management of wireless communications system can be reduced.
The foregoing description of the preferred embodiment of the invention has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. It is intended that the scope of the invention be limited not be this detailed description, but rather by the claims appended hereto.

Claims

WHAT IS CLAIMED IS:
1. A computer-implemented modelling system for wireless communications systems, comprising:
(a) one or more computers;
(b) data storage means, executed by one or more of the computers, for the storage and retrieval of information related to one or more wireless communications systems; and
(c) design means, executed by one or more of the computers and coupled for access to the data storage means, for creating, storing, retrieving, editing, and calculating network specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a service area, the design means further comprising means for determining how to plan frequency assignments for cell sites, thereby allowing a user to optimize the assignment of frequencies to cell sites within the wireless communications system.
2. The invention as set forth in claim 1 above, wherein the means for determining comprises means for defining optimal solutions to the assignment of frequencies according to blocking probabilities criteria.
3. The invention as set forth in claim 1 above, wherein the means for determining comprises means for defining optimal solutions to the assignment of frequencies according to a percentage change to the network.
4. The invention as set forth in claim 1 above, wherein the means for determining comprises means for defining optimal solutions to the assignment of frequencies according to a percentage of interference in the network.
5. The invention as set forth in claim 1 above, wherein the means for determining comprises means for defining optimal solutions to the assignment of frequencies according to an amount of time to take in determining the optimal solutions.
6. The invention as set forth in claim 1 above, wherein the means for determining comprises means for displaying a plurality of solutions to the assignment of frequencies, wherein the solutions are displayed according to their degree of optimality.
7. A computer-implemented modelling system for wireless communications systems, comprising:
(a) one or more computers;
(b) data storage means, executed by one or more of the computers, for the storage and retrieval of information related to one or more wireless communications systems; and
(c) design means, executed by one or more of the computers and coupled for access to the data storage means, for creating, storing, retrieving, editing, and calculating network specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a service area, the design means further comprising means for adding additional capacity to the network, including means for determining how to increase the capacity of cell sites, how to split cell sites to support additional growth, and how to determine the optimum placement of cell sites, thereby facilitating network optimization.
8. The invention as set forth in claim 7 above, wherein the means for adding further comprises means for defining optimal solutions according to demographics data for the service area.
9. The invention as set forth in claim 7 above, wherein the means for adding further comprises means for defining optimal solutions according to cell site usage and trending data for the service area.
10. The invention as set forth in claim 7 above, wherein the means for adding further comprises means for defining optimal solutions according to frequency assignments for the network.
11. The invention as set forth in claim 7 above, wherein the means for adding further comprises means for displaying a plurality of solutions, wherein the solutions are displayed according to their degree of optimality.
12. A computer-implemented modelling system for wireless communications systems, comprising:
(a) one or more computers;
(b) data storage means, executed by one or more of the computers, for the storage and retrieval of information related to one or more wireless communications systems; and
(c) design means, executed by one or more of the computers and coupled for access to the data storage means, for creating, storing, retrieving, editing, and calculating network specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a service area, the design means further comprising means for using digital satellite terrain data to display the topology of the service area.
13. The invention as set forth in claim 12 above, wherein the terrain data comprises terrain elevation values.
14. The invention as set forth in claim 12 above, wherein the terrain data comprises above mean sea level (AMSL) numbers for each latitude and longitude point therein.
15. The invention as set forth in claim 12 above, wherein the design means further means for overriding the terrain data.
16. A computer-implemented modelling system for wireless communications systems, comprising:
(a) one or more computers;
(b) data storage means, executed by one or more of the computers, for the storage and retrieval of information related to one or more wireless communications systems; and
(c) design means, executed by one or more of the computers and coupled for access to the data storage means, for creating, storing, retrieving, editing, and calculating network specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a service area, the design means further comprising means for displaying three dimensional terrain data to illustrate the topology of the service area.
17. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for illustrating whether features of the terrain block line- of-sight transmissions from cell sites.
18. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for displaying terrain selected from coordinates entered by the user.
19. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for displaying terrain selected from a cell site identifier entered by the user.
20. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for" displaying the three dimensional terrain data using color to differentiate between various features thereof.
21. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for overlaying geomorphic features on the three dimensional terrain data.
22. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for overlaying signal coverage predictions on the three dimensional terrain data.
23. The invention as set forth in claim 16 above, wherein the means for displaying comprises means for reporting latitude and longitude values for selected points of the displayed three dimensional terrain data.
24. A computer-implemented modelling system for wireless communications systems, comprising:
(a) one or more computers;
(b) data storage means, executed by one or more of the computers, for the storage and retrieval of information related to one or more wireless communications systems; and
(c) design means, executed by one or more of the computers and coupled for access to the data storage means, for creating, storing, retrieving, editing, and calculating network specifications in an electronic data format, including means for calculating and displaying predicted coverage of signal strength in a service area, the design means further comprising means for measurement integration to refine the accuracy of the modelling system, wherein the means for measurement integration comprises means for adjusting the means for calculating based on measured data collected from the network.
PCT/US1993/005112 1992-07-31 1993-05-28 Computer-implemented modelling system for wireless communications systems WO1994003986A1 (en)

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Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5812636A (en) * 1996-09-06 1998-09-22 Northern Telecom Limited System and method for faulty mobile unit isolation
WO1998043458A2 (en) * 1997-03-26 1998-10-01 Detemobil Deutsche Telekom Mobilnet Gmbh Method for planning a cellular radio network
EP1098544A2 (en) * 1999-11-04 2001-05-09 Lucent Technologies Inc. Road-based evaluation and interpolation of wireless network parameters
EP1178694A1 (en) * 2000-07-31 2002-02-06 Lucent Technologies Inc. Methods and apparatus for design, adjustment or operation of wireless networks using pre-frequency-assignment optimization
EP1283646A1 (en) * 2001-08-10 2003-02-12 Societé Française du Radiotéléphone System and method for planning a telecommunications network
EP1283647A1 (en) * 2001-08-10 2003-02-12 Societé Française du Radiotéléphone Method and device for frequency planning
US6625454B1 (en) * 2000-08-04 2003-09-23 Wireless Valley Communications, Inc. Method and system for designing or deploying a communications network which considers frequency dependent effects
FR2837596A1 (en) * 2002-03-19 2003-09-26 Sfr Sa Mobile phone network optimization method in which a geographical map area is selected and then a network model with potential base station positions is determined that takes into account geographical marketing data
US6842431B2 (en) 1999-11-04 2005-01-11 Lucent Technologies Inc. Methods and apparatus for characterization, adjustment and optimization of wireless networks
KR100819236B1 (en) * 2002-03-20 2008-04-02 엘지노텔 주식회사 Wireless network planning method
CN1691557B (en) * 2004-04-28 2010-05-05 大唐移动通信设备有限公司 Implementing method for generating random user and communication network simulation method
US8064939B2 (en) 2006-06-01 2011-11-22 Juniper Networks, Inc. Wireless load balancing
US8902904B2 (en) 2007-09-07 2014-12-02 Trapeze Networks, Inc. Network assignment based on priority
US8964747B2 (en) 2006-05-03 2015-02-24 Trapeze Networks, Inc. System and method for restricting network access using forwarding databases
US8966018B2 (en) 2006-05-19 2015-02-24 Trapeze Networks, Inc. Automated network device configuration and network deployment
US8978105B2 (en) 2008-07-25 2015-03-10 Trapeze Networks, Inc. Affirming network relationships and resource access via related networks
US9191799B2 (en) 2006-06-09 2015-11-17 Juniper Networks, Inc. Sharing data between wireless switches system and method
US9258702B2 (en) 2006-06-09 2016-02-09 Trapeze Networks, Inc. AP-local dynamic switching
US10327202B2 (en) 2006-06-09 2019-06-18 Trapeze Networks, Inc. AP-local dynamic switching
US12058539B2 (en) 2022-01-14 2024-08-06 T-Mobile Usa, Inc. Dynamic telecommunications network outage recovery based on predictive models

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
39TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, SAN-FRANCISCO vol. II, 1 May 1989, NEW-YORK (US) pages 823 - 831 A.H. ABOULGASEM ET AL 'COMPUTER-AIDED DESIGN OF SPECIAL PURPOSE SYSTEMS' *
40TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, ORLANDO 6 May 1990, NEW-YORK (US) pages 378 - 383 D.M. LARSEN ET AL 'MSFRM - A Prediction Tool For Radio System Design' *
6TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, LJUBLJANA vol. 1, 22 May 1992, NEW-YORK (US) pages 643 - 646 H. B]HLER ET AL 'PICAM: A PC Based Cellular Network Planning Software Package' *
PHILIPS TELECOMMUNICATION REVIEW vol. 49, no. 3, September 1991, HILVERSUM NL pages 18 - 22 R. BECK ET AL 'GRAND - A Program System for Radio Network Planning' *

Cited By (39)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5812636A (en) * 1996-09-06 1998-09-22 Northern Telecom Limited System and method for faulty mobile unit isolation
WO1998043458A2 (en) * 1997-03-26 1998-10-01 Detemobil Deutsche Telekom Mobilnet Gmbh Method for planning a cellular radio network
WO1998043458A3 (en) * 1997-03-26 1999-03-04 Deutsche Telekom Mobil Method for planning a cellular radio network
US6631267B1 (en) 1999-11-04 2003-10-07 Lucent Technologies Inc. Road-based evaluation and interpolation of wireless network parameters
EP1098544A3 (en) * 1999-11-04 2002-01-16 Lucent Technologies Inc. Road-based evaluation and interpolation of wireless network parameters
US6842431B2 (en) 1999-11-04 2005-01-11 Lucent Technologies Inc. Methods and apparatus for characterization, adjustment and optimization of wireless networks
EP1098544A2 (en) * 1999-11-04 2001-05-09 Lucent Technologies Inc. Road-based evaluation and interpolation of wireless network parameters
EP1178694A1 (en) * 2000-07-31 2002-02-06 Lucent Technologies Inc. Methods and apparatus for design, adjustment or operation of wireless networks using pre-frequency-assignment optimization
US7142523B1 (en) 2000-07-31 2006-11-28 Lucent Technologies Inc. Methods and apparatus for design, adjustment or operation of wireless networks using pre-frequency-assignment optimization
US6625454B1 (en) * 2000-08-04 2003-09-23 Wireless Valley Communications, Inc. Method and system for designing or deploying a communications network which considers frequency dependent effects
FR2828621A1 (en) * 2001-08-10 2003-02-14 Radiotelephone Sfr METHOD AND DEVICE FOR CREATING CONSTRAINT ARRAYS
CN100382614C (en) * 2001-08-10 2008-04-16 法国无线电话公司 Method and device for forming negative load array
FR2828619A1 (en) * 2001-08-10 2003-02-14 Radiotelephone Sfr METHOD AND DEVICE FOR DETERMINING A FREQUENCY PLAN
EP1283647A1 (en) * 2001-08-10 2003-02-12 Societé Française du Radiotéléphone Method and device for frequency planning
EP1283646A1 (en) * 2001-08-10 2003-02-12 Societé Française du Radiotéléphone System and method for planning a telecommunications network
US6892073B2 (en) 2001-08-10 2005-05-10 Societe Francaise Du Radiotelephone Method of and apparatus for creating constraint matrices
US7127212B2 (en) 2001-08-10 2006-10-24 Societe Francaise Du Radiotelephone Method and apparatus for planning frequencies
US7328023B2 (en) 2002-03-19 2008-02-05 Societe Francaise Du Radiotelephone Process and system for deployment of radio coverage of a cellular radiotelephony network
FR2837596A1 (en) * 2002-03-19 2003-09-26 Sfr Sa Mobile phone network optimization method in which a geographical map area is selected and then a network model with potential base station positions is determined that takes into account geographical marketing data
EP1351533A1 (en) * 2002-03-19 2003-10-08 Societé Française du Radiotéléphone Method and system for deploying the radio coverage of a cellular radio telephone network
KR100819236B1 (en) * 2002-03-20 2008-04-02 엘지노텔 주식회사 Wireless network planning method
CN1691557B (en) * 2004-04-28 2010-05-05 大唐移动通信设备有限公司 Implementing method for generating random user and communication network simulation method
US8964747B2 (en) 2006-05-03 2015-02-24 Trapeze Networks, Inc. System and method for restricting network access using forwarding databases
US8966018B2 (en) 2006-05-19 2015-02-24 Trapeze Networks, Inc. Automated network device configuration and network deployment
US8064939B2 (en) 2006-06-01 2011-11-22 Juniper Networks, Inc. Wireless load balancing
US10834585B2 (en) 2006-06-09 2020-11-10 Trapeze Networks, Inc. Untethered access point mesh system and method
US10798650B2 (en) 2006-06-09 2020-10-06 Trapeze Networks, Inc. AP-local dynamic switching
US9191799B2 (en) 2006-06-09 2015-11-17 Juniper Networks, Inc. Sharing data between wireless switches system and method
US9258702B2 (en) 2006-06-09 2016-02-09 Trapeze Networks, Inc. AP-local dynamic switching
US9838942B2 (en) 2006-06-09 2017-12-05 Trapeze Networks, Inc. AP-local dynamic switching
US10327202B2 (en) 2006-06-09 2019-06-18 Trapeze Networks, Inc. AP-local dynamic switching
US10638304B2 (en) 2006-06-09 2020-04-28 Trapeze Networks, Inc. Sharing data between wireless switches system and method
US12063501B2 (en) 2006-06-09 2024-08-13 Juniper Networks, Inc. AP-local dynamic switching
US11758398B2 (en) 2006-06-09 2023-09-12 Juniper Networks, Inc. Untethered access point mesh system and method
US11432147B2 (en) 2006-06-09 2022-08-30 Trapeze Networks, Inc. Untethered access point mesh system and method
US11627461B2 (en) 2006-06-09 2023-04-11 Juniper Networks, Inc. AP-local dynamic switching
US8902904B2 (en) 2007-09-07 2014-12-02 Trapeze Networks, Inc. Network assignment based on priority
US8978105B2 (en) 2008-07-25 2015-03-10 Trapeze Networks, Inc. Affirming network relationships and resource access via related networks
US12058539B2 (en) 2022-01-14 2024-08-06 T-Mobile Usa, Inc. Dynamic telecommunications network outage recovery based on predictive models

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