Wireless adaptation based on multidimensional input

1. A method, comprising:

obtaining, from different locations, a plurality of parameters associated with a wireless network, wherein the plurality of parameters includes one or more environment-specific parameters and one or more packet-specific parameters;

correlating or weighting a locally measured parameter with a delay-compensated remotely measured parameter, wherein:

the locally measured parameter includes an environment-specific parameter of the one or more environment-specific parameters measured locally or a packet-specific parameter of the one or more packet-specific parameters measured locally;

the delay-compensated remotely measured parameter includes the environment-specific parameter measured remotely with delay between its remote measurement and local receipt being compensated or the packet-specific parameter measured remotely with delay between its remote measurement and local receipt being compensated; and

the correlating or weighting the locally measured parameter with the delay-compensated remotely measured parameter comprises determining an amount and direction of a weight adjustment of the locally measured parameter based on a level of agreement or disagreement between the locally measured parameter and the delay-compensated remotely measured parameter;

generating a metric from a combination of the plurality of parameters including the correlated or weighted locally measured parameter;

in response to determining to adjust performance of the wireless network based on the metric, determining one or more operating parameters to adjust; and

adjusting the performance of the wireless network by adjusting the one or more operating parameters.

2. The method of claim 1 , wherein the adjusting the performance by adjusting the one or more operating parameters comprises at least one of:

adjusting latency;

adjusting packet error rate;

adjusting throughput; or

adjusting packets per second (PPS).

3. The method of claim 1 , wherein the plurality of parameters further comprises at least one of service constraints of the wireless network or user feedback.

4. The method of claim 3 , wherein:

the plurality of parameters further comprises the service constraints; and

the service constraints of the wireless network comprise at least one of:

maximum throughput of the wireless network;

best-effort delivery constraints;

streaming video traffic delivery constraints;

streaming audio traffic delivery constraints;

voice traffic delivery constraints;

parental constraints;

a maximum number of streaming video channels permitted by an Internet Service Provider (ISP) communicatively coupled to the wireless network;

maximum download speed permitted by the ISP; or

maximum upload speed permitted by the ISP.

5. The method of claim 1 , further comprising determining to adjust the performance of the wireless network based on the metric by at least one of:

determining to adjust the performance of the wireless network as a whole;

determining to adjust the performance per traffic type;

determining to adjust the performance per user type; or

determining to adjust the performance per application type.

6. The method of claim 1 , wherein adjusting the performance of the wireless network by adjusting the one or more operating parameters comprises at least one of:

adjusting a modulation and coding scheme (MCS);

enabling or disabling request to send (RTS)/clear to send (CTS) flow control;

adjusting a modulation rate;

adjusting Nss of a beamforming matrix;

enabling or disabling orthogonal frequency division multiple access (OFDMA);

adjusting a number of downlink (DL) OFDMA resource units (RUs) for an allocation;

adjusting uplink OFDMA (UL OFDMA) assignments;

adjusting aggregation size of at least one of aggregate-media access control (MAC) service data units (A-MSDUs) and aggregate-MAC protocol data units (A-MPDUs);

enabling or disabling multiuser (MU)-multiple input multiple output (MIMO);

adjusting one or more MU-MIMO parameters selected from the following: a duration of packet wait time out for stations in MU-MIMO group to fill traffic for MU-MIMO transmission, MU-MIMO group formation, and MU-MIMO rate;

adjusting a duration of a guard interval; or

adjusting retry rates for packet retransmissions.

7. The method of claim 1 , further comprising, repeatedly performing the following over time for each packet in the wireless network:

obtaining a current plurality of parameters associated with the wireless network;

generating a current metric from the combination of the current plurality of parameters;

in response to determining to adjust current performance of the wireless network based on the current metric, determining one or more current operating parameters to adjust; and

adjusting the current performance by adjusting the one or more current operating parameters.

8. The method of claim 1 , wherein generating the metric comprises:

generating a traffic demand-to-channel availability ratio based on the plurality of parameters;

generating an airtime utilization metric based on the plurality of parameters; and

combining the traffic demand-to-channel availability ratio and the airtime utilization metric to form the metric.

9. The method of claim 8 , wherein determining to adjust the performance of the wireless network based on the metric includes:

comparing the metric to a threshold value; and

one of:

in response to the metric moving from above the threshold value to below the threshold value, determining to at least one of: decrease latency, decrease packet error rate, decrease throughput, or decrease packets per second (PPS); or

in response to the metric moving from below the threshold value to above the threshold value, determining to at least one of: increase latency, increase packet error rate, increase throughput, or increase PPS.

10. The method of claim 8 , further comprising:

determining traffic demand by considering at least one of pending traffic in transmit buffers or pending traffic in uplink (UL) transmission buffers; and

determining channel availability based on a radio frequency (RF) environment and clear channel assessment (CCA) registers to see how much airtime is available;

wherein:

the traffic demand-to-channel availability ratio is a ratio of the determined traffic demand to the determined channel availability; and

combining the traffic demand-to-channel availability ratio and the airtime utilization metric to form the metric comprises summing the traffic demand-to-channel availability ratio and the airtime utilization metric.

11. The method of claim 1 , wherein adjusting the performance of the wireless network by adjusting the one or more operating parameters comprises at least one of:

adjusting a modulation rate;

adjusting Nss of a beamforming matrix;

enabling or disabling orthogonal frequency division multiple access (OFDMA);

adjusting a number of downlink (DL) OFDMA resource units (RUs) for an allocation;

adjusting uplink OFDMA (UL OFDMA) assignments;

adjusting aggregation size of at least one of aggregate-media access control (MAC) service data units (A-MSDUs) and aggregate-MAC protocol data units (A-MPDUs);

enabling or disabling multiuser (MU)-multiple input multiple output (MIMO);

adjusting one or more MU-MIMO parameters selected from the following: a duration of packet wait time out for stations in MU-MIMO group to fill traffic for MU-MIMO transmission, MU-MIMO group formation, and MU-MIMO rate; or

adjusting a duration of a guard interval.

12. A system, comprising:

one or more hardware components to process digital data;

a digital-to-analog converter (DAC) coupled to the one or more hardware components to convert the digital data to an analog waveform;

a radio frequency (RF) chain coupled to the DAC to upconvert the analog waveform to a carrier frequency; and

an optimization engine coupled to the one or more hardware components and configured to:

obtain, from different locations, a plurality of parameters associated with a wireless network, the plurality of parameters including one or more packet-specific parameters and one or more environment-specific parameters, and one or more locally and remotely measured parameters;

correlate or weight a locally measured parameter with a delay-compensated remotely measured parameter, wherein:

the locally measured parameter includes an environment-specific parameter of the one or more environment-specific parameters measured locally or a packet-specific parameter of the one or more packet-specific parameters measured locally;

the delay-compensated remotely measured parameter includes the environment-specific parameter measured remotely with delay between its remote measurement and local receipt being compensated or the packet-specific parameter measured remotely with delay between its remote measurement and local receipt being compensated; and

the correlating or weighting the locally measured parameter with the delay-compensated remotely measured parameter comprises determining an amount and direction of a weight adjustment of the locally measured parameter based on a level of agreement or disagreement between the locally measured parameter and the delay-compensated remotely measured parameter;

generate a metric from a combination of the plurality of parameters including the correlated or weighted locally measured parameter;

determine one or more operating parameters of the one or more hardware components to adjust in response to a determination to adjust a performance of the wireless network based on the metric; and

adjust the performance of the wireless network by adjusting the one or more operating parameters.

13. The system of claim 12 , wherein the optimization engine is configured to adjust the performance of the wireless network by adjusting the one or more operating parameters by at least one of:

adjusting latency;

adjusting packet error rate;

adjusting throughput; or

adjusting packets per second (PPS).

14. The system of claim 12 , wherein the plurality of parameters further comprises at least one of service constraints of the wireless network or user feedback.

15. The system of claim 14 , wherein:

the plurality of parameters further comprises the service constraints; and

the service constraints of the wireless network comprise at least one of:

maximum throughput of the wireless network;

best-effort delivery constraints;

streaming video traffic delivery constraints;

streaming audio traffic delivery constraints;

voice traffic delivery constraints;

parental constraints;

a maximum number of streaming video channels permitted by an Internet Service Provider (ISP) communicatively coupled to the wireless network;

maximum download speed permitted by the ISP; or

maximum upload speed permitted by the ISP.

16. The system of claim 12 , wherein the optimization engine is further configured to adjust the performance of the wireless network based on the metric by at least one of:

determining to adjust the performance of the wireless network as a whole;

determining to adjust the performance per traffic type;

determining to adjust the performance per user type; or

determining to adjust the performance per application type.

17. The system of claim 12 , wherein the optimization engine is configured to adjust the performance of the wireless network by adjusting the one or more operating parameters by at least one of:

adjusting a modulation and coding scheme (MCS);

enabling or disabling request to send (RTS)/clear to send (CTS) flow control;

adjusting a modulation rate;

adjusting Nss of a beamforming matrix;

enabling or disabling orthogonal frequency division multiple access (OFDMA);

adjusting a number of downlink (DL) OFDMA resource units (RUs) for an allocation;

adjusting uplink OFDMA (UL OFDMA) assignments;

adjusting aggregation size of at least one of aggregate-media access control (MAC) service data units (A-MSDUs) and aggregate-MAC protocol data units (A-MPDUs);

enabling or disabling multiuser (MU)-multiple input multiple output (MIMO);

adjusting one or more MU-MIMO parameters selected from the following: a duration of packet wait time out for stations in MU-MIMO group to fill traffic for MU-MIMO transmission, MU-MIMO group formation, and MU-MIMO rate;

adjusting a duration of a guard interval; or

adjusting retry rates for packet retransmissions.

18. The system of claim 12 , wherein the optimization engine is further configured to repeatedly perform the following over time for each packet in the wireless network:

obtaining a current plurality of parameters associated with the wireless network;

generating a current metric from the combination of the current plurality of parameters;

in response to determining to adjust current performance of the wireless network based on the current metric, determining one or more current operating parameters to adjust; and

adjusting the current performance by adjusting the one or more current operating parameters.

19. The system of claim 12 , wherein the optimization engine is configured to generate the metric by:

generating a traffic demand-to-channel availability ratio based on the plurality of parameters;

generating an airtime utilization metric based on the plurality of parameters; and

combining the traffic demand-to-channel availability ratio and the airtime utilization metric to form the metric.

20. The system of claim 19 , wherein the optimization engine is configured to determine to adjust the performance of the wireless network based on the metric by:

comparing the metric to a threshold value; and

one of:

in response to the metric moving from above the threshold value to below the threshold value, determining to at least one of: decrease latency, decrease packet error rate, decrease throughput, or decrease packets per second (PPS); or

in response to the metric moving from below the threshold value to above the threshold value, determining to at least one of: increase latency, increase packet error rate, increase throughput, or increase PPS.