Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes receiving, by a first wireless device, beamforming information from a station over a period of time, the beamforming information including a feedback signal-to-noise ratio (SNR) value and compressed feedback matrix. The method also includes determining one or more SNR gradient metrics for the station based at least in part on the received feedback SNR values and the received compressed feedback matrices.

Abstract: Wireless node selects modulation coding schemes (MCS) and number of spatial streams for transmitting data to devices via a MU-MIMO transmission based on the total number of spatial streams. In one implementation, a wireless node selects first MCS, first number of spatial stream(s) for a first device, and total number of spatial streams to be used in the MU-MIMO transmission so as to maximize the data rate to the first device, then selects a second MCS and a second number of spatial stream(s) for a second device based on the selected total number of spatial streams. In another implementation, the wireless node toggles the first selection of the MCS and spatial stream(s) between the first and second devices for fairness purposes. In another implementation, a wireless selects the MCS and the spatial streams for the receiving nodes so as to maximize the aggregate data rate for the MU-MIMO transmission.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes selecting, by a wireless device, a first subset from a first set of candidate multi-user groups of stations. The first subset is based at least in part on first-level grouping metrics associated with the first set of candidate multi-user groups. The method further includes determining second-level grouping metrics associated with a second set of candidate multi-user groups. The second set corresponds to candidate multi-user groups having a greater number of stations or channel vectors than the first set, and the second set is based at least in part on the first subset.

Abstract: Wireless node selects modulation coding schemes (MCS) and number of spatial streams for transmitting data to devices via a MU-MIMO transmission based on the total number of spatial streams. In one implementation, a wireless node selects first MCS, first number of spatial stream(s) for a first device, and total number of spatial streams to be used in the MU-MIMO transmission so as to maximize the data rate to the first device, then selects a second MCS and a second number of spatial stream(s) for a second device based on the selected total number of spatial streams. In another implementation, the wireless node toggles the first selection of the MCS and spatial stream(s) between the first and second devices for fairness purposes. In another implementation, a wireless selects the MCS and the spatial streams for the receiving nodes so as to maximize the aggregate data rate for the MU-MIMO transmission.

Abstract: Methods and apparatuses are disclosed for managing multi-user multiple-input multiple-out (MU-MIMO) groups by a wireless device. For at least some embodiments, a wireless communication device may determine a MU-MIMO group by identifying a plurality of MU-MIMO capable stations, determine a plurality of MU-MIMO group candidates from the plurality of MU-MIMO capable STAs based, at least in part, on a predicted data throughput of an MU-MIMO group including at least one of the plurality of MU-MIMO capable STAs, and create a MU-MIMO group from the plurality of MU-MIMO candidates. The predicted data throughput may be based, at least in part, on media access control (MAC) and physical (PHY) layer parameters. In some embodiments, the PHY layer parameters may include historic group size and/or historic multi-user signal-to-interference-plus-noise ratio data.

Abstract: A small cell controller for switching and aggregating wireless data between a cellular network and a noncellular network is disclosed. The small cell controller may include a cellular interface to communicate data with the cellular network, a noncellular interface to communicate data with the noncellular network, and an analyzer configured to determine whether a portion of the wireless data may be transferred from the cellular network to the noncellular network, and determine a first portion of the noncellular network to be allocated to the portion of the wireless data when the portion of the wireless data may be transferred.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may include a processing system configured to determine whether to initiate scheduler probing based on a condition and to perform scheduler probing by determining whether to transmit in SU mode and by determining a set of transmission parameters. The apparatus may include an interface configured to, when the scheduler probing is initiated, output a frame for transmission based on the set of transmission parameters.

Abstract: Certain aspects of the present disclosure relate to a robust and systematic multi-user (MU) grouping and scheduling scheme. Certain aspects of the present disclosure provide an apparatus for wireless communications. The apparatus generally includes a processing system configured to: assign devices to one or more groups, wherein each group has at least a number of devices and schedule MU multiple-input multiple-output (MIMO) transmissions to one or more sets of devices, each scheduled set of devices comprising a subset of devices of one of the groups; and an interface configured to output data for simultaneous transmissions to the scheduled sets of devices.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes receiving, by a first wireless device, compressed beamforming information from each of a plurality of stations, the compressed beamforming information including a feedback signal-to-noise ratio (SNR) value and compressed feedback matrix. The method also includes determining a multi-user signal-to-interference-plus noise ratio (SINR) metric for each of the plurality of stations based at least in part on the received feedback SNR values and the received compressed feedback matrices.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes selecting, by a wireless device, a first subset from a first set of candidate multi-user groups of stations. The first subset is based at least in part on first-level grouping metrics associated with the first set of candidate multi-user groups. The method further includes determining second-level grouping metrics associated with a second set of candidate multi-user groups. The second set corresponds to candidate multi-user groups having a greater number of stations or channel vectors than the first set, and the second set is based at least in part on the first subset.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes receiving, by a first wireless device, beamforming information from a station over a period of time, the beamforming information including a feedback signal-to-noise ratio (SNR) value and compressed feedback matrix. The method also includes determining one or more SNR gradient metrics for the station based at least in part on the received feedback SNR values and the received compressed feedback matrices.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes receiving, by a first wireless device, compressed beamforming information from each of a plurality of stations, the compressed beamforming information including a feedback signal-to-noise ratio (SNR) value and compressed feedback matrix. The method also includes determining a multi-user signal-to-interference-plus noise ratio (SINR) metric for each of the plurality of stations based at least in part on the received feedback SNR values and the received compressed feedback matrices.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes receiving, by a wireless device, beamforming information from a plurality of stations. The beamforming information includes feedback signal-to-noise ratio (SNR) values and beamforming feedback matrices. The method further includes determining a metric associated with a candidate group of the plurality of stations based at least in part on the received feedback SNR values and the received beamforming feedback matrices. The metric indicates a correlation between spatial streams of multi-user multiple-input-multiple-output (MU-MIMO) transmissions intended for the stations of the candidate group.

Abstract: Methods, systems, and devices are described for wireless communication. An access point (AP) may determine a single user bias for a wireless device based on a feedback signal-to-noise ratio (SNR) and an SNR based on a modulation and coding scheme (MCS). The AP may also determine a multi-user SNR for the wireless device based on the feedback SNR, the single user bias, a multi user loss, and a group bias. The AP may then select an updated MCS based on the multi-user SNR. In some cases, the AP may transmit a reference signal to the wireless device and receive a compressed beamforming feedback report from the wireless device based on the reference signal. The feedback SNR may be based on the compressed beamforming feedback report. The AP may also maintain a blacklist of groups with channel correlation that satisfies a threshold, and refrain from scheduling those groups together.

Abstract: Certain aspects of the present disclosure relate to a robust and systematic multi-user (MU) grouping and scheduling scheme. Certain aspects of the present disclosure provide an apparatus for wireless communications. The apparatus generally includes a processing system configured to: assign devices to one or more groups, wherein each group has at least a number of devices and schedule MU multiple-input multiple-output (MIMO) transmissions to one or more sets of devices, each scheduled set of devices comprising a subset of devices of one of the groups; and an interface configured to output data for simultaneous transmissions to the scheduled sets of devices.

Abstract: Certain aspects of the present disclosure relate to efficient optimal group identification (GID) management for multiple user (MU) multiple-input multiple-output (MIMO) communications. Certain aspects of the present disclosure provide an apparatus for wireless communications. The apparatus generally includes a processing system configured to: for each GID of a plurality of GIDs, assign a plurality of devices to positions within one or more groups associated with that GID and generate GID management frames for transmission to active devices of the assigned plurality of devices indicating, for each of the active devices, a position of that active device within each of the plurality of GID; and an interface configured to output the GID management frames for transmission to the active devices.

Abstract: According to an aspect of an embodiment, a method of controlling radio resources includes calculating multiple sets of scaled load estimates based on a single set of initial load estimates associated with estimated radio resource loads of multiple base stations. Each of the sets of scaled load estimates includes the single set of initial load estimates scaled by one of multiple scale factors. The method further includes determining multiple objective function results. Each objective function result is based at least in part on a result of an objective function for an individual set of scaled load estimates of the multiple sets of scaled load estimates. The method further includes determining an operating set of radio resources for multiple base stations based at least in part on the multiple objective function results.

Abstract: Methods, systems, and apparatuses are described for wireless communications. More particularly, an access point (AP) identifies a plurality of multi-user multiple-input multiple-output (MU-MIMO) groups associated with a wireless station (STA). The AP determines a communication metric associated with each of the plurality of MU-MIMO groups. The communication metric provides an indication of the compatibility of the STAs in the MU-MIMO group. The AP prioritizes at least one of the plurality of MU-MIMO groups based at least in part on the communication metric associated with the prioritized MU-MIMO group. The AP creates a preferred group list and/or a blacklisted group list and included the prioritized MU-MIMO group in the appropriate group list.

Abstract: Methods, systems, and devices are described for wireless communication. In one aspect, a method of wireless communication includes determining a transmit time metric associated with each transmission group of a number of transmission groups based at least in part on an amount of data in a transmit queue and a modulation and coding scheme (MCS) data rate for at least one wireless communication device in the transmission group. The method also includes scheduling a transmission to a first transmission group of the number of transmission groups based at least in part on the transmit time metric for the first transmission group.

Abstract: Technology to provide link aware streaming adaptation is disclosed. In an example, a mobile device can include one or more processors configured to: process a manifest file for an HTTP adaptive stream that is received at the mobile device from a node; determine a physical layer goodput of the mobile device with the node for the HAS; identify a segment throughput estimate for the HAS; and select a representation in the manifest file for a selected period based, on the physical layer goodput for the HAS and the segment throughput for the HAS.