Method for determining deployment parameters of customer premises equipment
A method and system for determining deployment parameters of a set of customer premises equipment (CPE) in a housing environment. A housing database ( 2 ) and a simulation database ( 3 ) connected to a processor ( 4 ) are present, the housing database ( 2 ) storing housing information, and the simulation database ( 3 ) storing simulation data with Wi-Fi performance parameters for a subset of housing types. The processor ( 4 ) clusters the stored housing information based on the Wi-Fi performance parameters, associates each of the clustered housing parameter sets with one of the subset of housing types, and for a specific one of the housing types determines deployment parameters based on data obtained from the simulation database ( 3 ). The matching of a specific housing environment with one of the subset of housing types allows to quickly and efficiently optimize deployment parameters, such as number, type and placement of CPE.
1. A method for determining deployment parameters of a set of customer premises equipment (CPE) in a housing environment, comprising:
obtaining a housing database in which housing information is stored;
obtaining a simulation database in which simulation data is stored with Wi-Fi performance parameters for a subset of housing types;
clustering the stored housing information into clustered housing parameter sets based on the Wi-Fi performance parameters;
associating each of the clustered housing parameter sets with one of the subset of housing types; and
for a specific one of the housing types determining the deployment parameters based on data obtained from the simulation database.
2. The method according to claim 1 , further comprising enhancing the stored housing information, based on CPE user or service provider input data.
3. The method according to claim 1 , further comprising receiving measurement data from an installed CPE, and enhancing the simulation data of the associated one of the subset of housing types in the simulation database.
4. The method according to claim 1 , wherein determining deployment parameters is executed using additional usage data as input.
5. The method according to claim 1 , wherein determining deployment parameters is executed by checking whether a minimum desired level of service is obtainable.
6. The method according to claim 1 , further comprising storing housing information data in the housing database, the housing data comprising one or more of the group of:
survey data, size, type, age, construction material, dimensions, relative position to neighbouring houses, shape of house, geolocation, number of bedrooms.
7. The method according to claim 1 , further comprising storing simulation data in the simulation database, wherein the simulation data comprises one or more from the group of: ray tracing data of Wi-Fi signals, actual measurement data of Wi-Fi signals, radio frequency attenuation data, physical data rate data.
8. The method according to claim 1 , wherein the Wi-Fi performance parameters comprise one or more of the group of:
increased number of spatial streams and/or antennae, number of CPE devices, changes in transmission power, receive sensitivities, radio frequency, channel bandwidth, antenna patterns, nearby interference.
9. A system for determining deployment parameters of a set of customer premises equipment (CPE) in a housing environment, comprising
a housing database and a simulation database connected to a processor,
the housing database being arranged to store housing information, and the simulation database being arranged to store simulation data with Wi-Fi performance parameters for a subset of housing types, and
wherein the processor is arranged for clustering the stored housing information into clustered housing parameter sets based on the Wi-Fi performance parameters, associating each of the clustered housing parameter sets with one of the subset of housing types, and for a specific one of the housing types determining deployment parameters based on data obtained from the simulation database.
10. The system of claim 9 , further comprising an additional input data device connected to the processor, the processor being further arranged for enhancing the stored housing information, based on CPE user or service provider input data received from the additional input data device.
11. The system according to claim 9 or 10 , further comprising a CPE data input device connected to the processor, the processor being further arranged for receiving measurement data from an installed CPE via the CPE data input device, and enhancing the simulation data of the associated one of the subset of housing types in the simulation database.
12. The system according to claim 9 , wherein the processor is further arranged to execute a method comprising:
obtaining a housing database in which housing information is stored;
obtaining a simulation database in which simulation data is stored with Wi-Fi performance parameters for a subset of housing types;
clustering the stored housing information into clustered housing parameter sets based on the Wi-Fi performance parameters;
associating each of the clustered housing parameter sets with one of the subset of housing types; and
for a specific one of the housing types determining the deployment parameters based on data obtained from the simulation database.
13. A non-transitory computer program product, comprising computer readable instructions, which, when loaded on a processor system, allow the processor system to execute the method according to claim 1 .