Details for Patent: 7,580,712

Title:	Wireless high-speed data network planning tool
Abstract:	Tools and methods are provided to model and simulate the high-speed data channel and the traffic scheduling function, and tools and methods to simultaneously simulate the high-speed data channel and other voice and data services sharing the same radio carrier. The tools and methods estimate the quality of service and the capacity of the high-speed data channel, and also estimate the impact of the high-speed data channels on the quality of service and traffic capacity of other voice and data services on the same radio channel. The tools and method can be used in a wireless network planning tool to analyze a network that uses a radio carrier exclusively for high-speed data channels, such as cdma2000 EV-DO. The tools and method can also be used to analyze a network that combines high-speed data channels and CDMA based services on the same radio carrier, such as cdma2000 EV-DV or WCDMA HSDPA.
Inventor(s):	Nordling; Nikus (Knivsta, SE)
Assignee:	Telefonaktiebolaget LM Ericsson (publ) (Stockholm, SE)
Filing Date:	Mar 01, 2006
Application Number:	11/364,548
Claims:	1. A computer readable medium encoded with a computer program which, when executed by a computer, serves as a network planning tool by performing steps of: (1) assigning total output power values for plural modeled cells of a modeled wireless communications network; (2) distributing modeled plural user equipment unit among the plural cells; (3) determining, for a first modeled cell, transmit power needed for services and channels in the first modeled cell other than power for a high speed downlink packet service; (4) using needed transmit power as determined by step (3) for determining power available in the first modeled cell for the high speed downlink packet service; (5) using power available as determined by step (4) for determining received power at a modeled first user equipment unit on a high speed downlink packet service data channel; (6) determining total interference received by the modeled first user equipment unit from the plural cells; (7) using received high speed service data channel power as determined by step (5) and total interference as determined by step (6) for determining a high speed downlink packet service data rate for the modeled first user equipment unit; (8) performing step (5) through step (7) for the plural modeled user equipment units in the modeled first cell and using the high speed downlink packet service data rates for the plural modeled user equipment units to obtain a high speed downlink packet service data rate for the modeled first cell; generating an output which can be used for network planning. 2. The computer readable medium of claim 1, further comprising generating an output reflective of the high speed downlink packet service data rate for the modeled first cell. 3. The computer readable medium of claim 1, wherein step (4) comprises subtracting signaling power for the high speed downlink packet service from the needed transmit power. 4. The computer readable medium of claim 1, wherein step (6) includes determining the total interference for the plural modeled cells using a high speed downlink packet service activity factor, the high speed downlink packet service activity factor being related to demand for the high speed downlink packet service by the modeled plural user equipment units in at least one of the modeled plural cells. 5. The computer readable medium of claim 4, wherein the high speed downlink packet service activity factor for the modeled first cell is determined by dividing an average data rate demanded by the modeled plural user equipment units in the modeled first cell by the high speed downlink packet service data rate for the modeled first cell. 6. The computer readable medium of claim 1, wherein step (7) further involves using a scheduling gain factor for determining the high speed downlink packet service data rate for the modeled first user equipment unit. 7. The computer readable medium of claim 6, wherein the scheduling gain factor results from using an intelligent scheduler that takes advantage of fluctuations in a signal-to-interference ratio. 8. The computer readable medium of claim 7, wherein the scheduling gain factor is obtained either from a lookup table or by a Monte Carlo simulation. 9. The computer readable medium of claim 1, wherein determining the total interference of step (6) excludes an orthogonal part of the power received from a best serving cell of the modeled plural cells. 10. A method of modeling and testing a configuration of a wireless communications network comprising: (1) assigning total output power values for modeled plural cells of a modeled wireless communications network; (2) distributing plural user equipment unit among the modeled plural cells; (3) using a computer to determine, for a modeled first cell, transmit power needed for services and channels in the modeled first cell other than power for a high speed downlink packet service; (4) using needed transmit power as determined by step (3) for determining by the computer power available in the modeled first cell for the high speed downlink packet service; (5) using power available as determined by step (4) for determining by the computer received power at a modeled first user equipment unit on a high speed downlink packet service data channel; (6) using the computer to determine total interference received by the modeled first user equipment unit from the modeled plural cells; (7) using received high speed service data channel power as determined by step (5) and total interference as determined by step (6) for determining by the computer a high speed downlink packet service data rate for the modeled first user equipment unit; (8) performing step (5) through step (7) for the modeled plural user equipment units in the modeled first cell and using the high speed downlink packet service data rates for the modeled plural user equipment units to obtain a high speed downlink packet service data rate for the modeled first cell; and (9) generating by the computer and using an output for network planning. 11. The method of claim 10, further comprising generating an output reflective of the high speed downlink packet service data rate for the modeled first cell. 12. The method of claim 10, wherein step (4) comprises subtracting signaling power for the high speed downlink packet service from the needed transmit power. 13. The method of claim 10, wherein step (6) includes determining the total interference for the modeled plural cells using a high speed downlink packet service activity factor, the high speed downlink packet service activity factor being related to demand for the high speed downlink packet service by the modeled plural user equipment units in at least one of the modeled plural cells. 14. The method of claim 13, wherein the high speed downlink packet service activity factor for the modeled first cell is determined by dividing an average data rate demanded by the modeled plural user equipment units in the modeled first cell by the high speed downlink packet service data rate for the modeled first cell. 15. The method of claim 10, wherein step (7) further involves using a scheduling gain factor for determining the high speed downlink packet service data rate for the modeled first user equipment unit. 16. The method of claim 15, wherein the scheduling gain factor results from using an intelligent scheduler that takes advantage of fluctuations in a signal-to-interference ratio. 17. The method of claim 16, wherein the scheduling gain factor is obtained either from a lookup table or by a Monte Carlo simulation. 18. The method of claim 10, wherein determining the total interference of step (6) excludes an orthogonal part of the power received from a best serving cell of the modeled plural cells. 19. The computer readable medium of claim 1, further comprising performing a desired number of random trials, each of the random trials comprising performance of steps (1)-(8), and from the random trials calculating average values which can be used for generating the output which can be used for network planning. 20. The computer readable medium of claim 1, further comprising performing path loss predictions between the modeled first user equipment unit and all modeled cells seen by the modeled first user equipment unit. 21. The method of claim 10, further comprising performing a desired number of random trials, each of the random trials comprising performance of steps (1)-(8), and from the random trials calculating average values which can be used for generating the output which can be used for network planning. 22. The method of claim 10, further comprising performing path loss predictions between the modeled first user equipment unit and all modeled cells seen by the modeled first user equipment unit.