Qualcomm Incorporated

Pradeep Baliganapalli Nagaraju

Sandip HomChaudhuri

Arunkumar Jayaraman

Nitin Ashok Changlani

James Simon Cho

Qinghai Gao

Sumeet Kumar

Lian Chen

Fnu Rajkumar Samuel

Jason Alexander Young

Madhavan Nair

Apparatuses and methods are disclosed that may allow a wireless device to dynamically select a bandwidth for MU-MIMO communications. A wireless device may transmit, on each of a plurality of wireless channels, a clear-to-send-to-self (CTS2S) frame that reserves medium access on a number of wireless channels and/or confirms the continued availability of the wireless channels. The bandwidth for a subsequent sounding operation may be based on the bandwidth used to transmit the CTS2S frames. Thereafter, the wireless device may transmit one or more MU-MIMO data frames to a number of other wireless devices using the selected bandwidth.

MU-MIMO dynamic bandwidth selection

Methods, systems, and devices are described for adapting blind reception duration for range and congestion. A wireless station may measure channel conditions (e.g., range to an access point (AP) and channel congestion), and adjust one or more sleep timers based on the conditions. The sleep timers may each be associated with a window for reception of an expected transmission. If the transmission is not received in the window, the station may enter a sleep state to conserve power. In one example, a beacon miss timer is adjusted, and the expected wireless transmission is a delivery traffic indication message (DTIM). In another example, a content after beacon (CAB) timer is adjusted and the expected wireless transmission is the CAB. In some cases, the station may measure a delay for a number of beacons and determine the adjustment based on the delays.

Adapting blind reception duration for range and congestion

Power saving for wireless communication devices by adjusting the amount of time, after a last transmission/reception of data, that the device remains in an awake mode listening for more data before the device enters a sleep mode. This time period may be referred to as inactivity time interval or inactivity timeout (ITO). The described features may be employed to improve power savings by taking metrics of channel congestion into account for determining the ITO. The appropriate ITO may be determined to be commensurate with ongoing transmission and/or reception activity. Because error may occur in estimating channel congestion and/or transmission/reception activity, latency bounds based on estimation errors may be managed by classifying the operational mode into multiple regions and employing techniques for mitigating error in congestion estimation based at least in part on the operational mode.

Power saving with adaptive inactivity time out

Growing community of inventors

Milpitas, CA, United States of America

Pradeep Baliganapalli Nagaraju