Selecting radio resource management schemes based on environment assessments
A method for selecting a radio resource management scheme is disclosed. A distance between two wireless access points of two wireless local area networks is received. A calculated signal strength corresponding to the distance is determined. One or more signal strengths associated with communication between the two wireless access points are received. A difference between a first value associated with the received one or more signal strengths and a second value associated with the calculated signal strength is determined. The difference is compared to a threshold difference value to determine an environment assessment result. Based on the environment assessment result, an option among a plurality of radio resource management scheme options is selected for at least the two wireless access points.
1. A method, comprising:
receiving a distance between two wireless access points of two wireless local area networks;
determining a calculated signal strength corresponding to the distance;
receiving one or more signal strengths associated with communication between the two wireless access points;
determining a difference between a first value associated with the received one or more signal strengths and a second value associated with the calculated signal strength;
comparing the difference to a threshold difference value to determine an environment assessment result; and
based on the environment assessment result, selecting by a radio resource management (RRM) controller an option among a plurality of radio resource management scheme options for at least the two wireless access points.
2. The method of claim 1 , wherein the RRM controller is executed on a cloud computing platform.
3. The method of claim 1 , wherein the RRM controller is executed by software or firmware executed on at least one of the two wireless access points.
4. The method of claim 1 , further comprising:
determining the calculated signal strength corresponding to the distance based on a radio propagation model, and wherein the calculated signal strength comprises an estimated received signal strength indicator (RSSI) at one of the two wireless access points.
5. The method of claim 1 , wherein the one or more signal strengths associated with the communication between the two wireless access points comprise one or more received signal strength indicators (RSSIs).
6. The method of claim 1 , wherein the first value associated with the received one or more signal strengths comprises an average of the received one or more signal strengths over a period of time.
7. The method of claim 1 , wherein the difference between the first value associated with the received one or more signal strengths and the second value associated with the calculated signal strength comprises an absolute value.
8. The method of claim 1 , further comprising:
in response to the difference being less than or equal to the threshold difference value, evaluating the environment assessment result as pass; and
in response to the difference being greater than the threshold difference value, evaluating the environment assessment result as fail.
9. The method of claim 1 , further comprising: in response to the environment assessment result being evaluated as fail, selecting a dynamic measurement radio resource management technique for at least the two wireless access points, wherein the dynamic measurement radio resource management technique uses dynamic measurements collected by Wi-Fi devices or one or more of the two wireless access points to optimize configurations for the two wireless access points.
10. The method of claim 9 , wherein the dynamic measurements comprise statistics or metrics of a radio frequency (RF) environment.
11. The method of claim 1 , further comprising: in response to the environment assessment result being evaluated as pass, selecting a model-based radio resource management technique for at least the two wireless access points, wherein the model-based radio resource management technique combines modeling with a model and optimization to optimize configurations for the two wireless access points.
12. The method of claim 11 , wherein the model comprises a digital-twin model.
13. The method of claim 11 , where the model comprises a plurality of independent variables, wherein the plurality of independent variables comprises one or more of the following: locations of the two wireless access points, distances between the two wireless access points, or locations of Wi-Fi devices connected to at least one of the two wireless access points.
14. A system, comprising:
one or more processors configured to:
receive a distance between two wireless access points of two wireless local area networks;
determine a calculated signal strength corresponding to the distance;
receive one or more signal strengths associated with communication between the two wireless access points;
determine a difference between a first value associated with the received one or more signal strengths and a second value associated with the calculated signal strength;
compare the difference to a threshold difference value to determine an environment assessment result; and
based on the environment assessment result, select an option among a plurality of radio resource management scheme options for at least the two wireless access points; and
a memory coupled to at least one of the one or more processors and configured to provide the at least one of the one or more processors with instructions.
15. The system of claim 14 , wherein the one or more processors are configured to:
in response to the environment assessment result being evaluated as fail, select a dynamic measurement radio resource management technique for at least the two wireless access points, wherein the dynamic measurement radio resource management technique uses dynamic measurements collected by Wi-Fi devices or one or more of the two wireless access points to optimize configurations for the two wireless access points.
16. The system of claim 15 , wherein the dynamic measurements comprise statistics or metrics of a radio frequency (RF) environment.
17. The system of claim 14 , the one or more processors are configured to:
in response to the environment assessment result being evaluated as pass, select a model-based radio resource management technique for at least the two wireless access points, wherein the model-based radio resource management technique combines modeling with a radio propagation model and optimization to optimize configurations for the two wireless access points.
18. A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions for:
receiving a distance between two wireless access points of two wireless local area networks;
determining a calculated signal strength corresponding to the distance;
receiving one or more signal strengths associated with communication between the two wireless access points;
determining a difference between a first value associated with the received one or more signal strengths and a second value associated with the calculated signal strength;
comparing the difference to a threshold difference value to determine an environment assessment result; and
based on the environment assessment result, selecting an option among a plurality of radio resource management scheme options for at least the two wireless access points.
19. The computer program product of claim 18 , further comprising computer instructions for: in response to the environment assessment result being evaluated as fail, selecting a dynamic measurement radio resource management technique for at least the two wireless access points, wherein the dynamic measurement radio resource management technique uses dynamic measurements collected by Wi-Fi devices or one or more of the two wireless access points to optimize configurations for the two wireless access points.
20. The computer program product of claim 18 , further comprising computer instructions for: in response to the environment assessment result being evaluated as pass, selecting a model-based radio resource management technique for at least the two wireless access points, wherein the model-based radio resource management technique combines modeling with a model and optimization to optimize configurations for the two wireless access points.