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: According to an aspect of an embodiment, a base station includes a first interface, a second interface, a third interface, and an allocator. The first interface communicates with a plurality of terminals via a licensed radio spectrum. The second interface communicates with the plurality of terminals via an unlicensed radio spectrum. The third interface receives from a central controller a licensed radio spectrum assignment including a set of assigned physical resource blocks associated with the licensed radio spectrum. The allocator allocates unlicensed radio spectrum resources and the physical resource blocks among the plurality of terminals.

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: According to an aspect of an embodiment, a base station includes a first interface, a second interface, a third interface, and an allocator. The first interface communicates with a plurality of terminals via a licensed radio spectrum. The second interface communicates with the plurality of terminals via an unlicensed radio spectrum. The third interface receives from a central controller a licensed radio spectrum assignment including a set of assigned physical resource blocks associated with the licensed radio spectrum. The allocator allocates unlicensed radio spectrum resources and the physical resource blocks among the plurality of terminals.

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: An apparatus and a method for adaptive filtering includes an antenna that receives analog video broadcast signal data; an analog-to-digital converter coupled to the antenna and converting the received analog video broadcast signal data to digital video signal data; a frame buffer memory storing the digital video signal data; an instruction memory storing adaptive filtering instructions; and an adaptive filter coupled to the memory and the analog-to-digital converter, wherein the adaptive filter: reads the adaptive filter instructions from the memory; executes the adaptive filter instructions; averages an input pixel with a corresponding pixel stored in the frame buffer memory; calculates a forgetting factor for each pixel in the plurality of pixel values stored in the frame buffer memory; and filters noise from each pixel of the plurality of pixel values stored in the frame buffer memory based on the forgetting factor.

Abstract: An apparatus and method for equalizing analog TV signals includes an antenna that receives the signal data, wherein the signal data comprises a luminance carrier comprising a luminance channel and a chrominance carrier comprising a chrominance channel; an analog-to-digital converter coupled to receiving antenna that converts the received signal data to digital signal data; an instruction memory storing digital equalizer instructions; and a digital equalizer system, coupled to the memory and the analog-to-digital converter, wherein the digital equalizer system processes the digital equalizer instructions to estimate a noise variation of the luminance channel; equalize the luminance channel; and equalize the chrominance channel, wherein the equalization of the chrominance channel is separate and distinct from the equalization of the luminance channel.

Abstract: A system and method for downscaling signal data, where the system includes an antenna receiving video signal data; an analog-to-digital converter coupled to the antenna and converting the received analog signal data to digital signal data; a memory component storing video downscaling instructions; and a video downscaling processor, coupled to the memory component and the analog-to-digital converter, wherein the video downscaling processor, upon reading the video downscaling instructions from the memory component and executing the downscaling instructions: divides the digital video signal data into a plurality of blocks, wherein each block comprises a plurality of pixel elements; and cycles through the plurality of blocks, and for every block in the plurality of blocks, generates a new block, wherein the new block comprises a plurality of new pixels evenly spaced within the new block.

Abstract: An apparatus and a method for adaptive filtering includes an antenna that receives analog video broadcast signal data; an analog-to-digital converter coupled to the antenna and converting the received analog video broadcast signal data to digital video signal data; a frame buffer memory storing the digital video signal data; an instruction memory storing adaptive filtering instructions; and an adaptive filter coupled to the memory and the analog-to-digital converter, wherein the adaptive filter: reads the adaptive filter instructions from the memory; executes the adaptive filter instructions; averages an input pixel with a corresponding pixel stored in the frame buffer memory; calculates a forgetting factor for each pixel in the plurality of pixel values stored in the frame buffer memory; and filters noise from each pixel of the plurality of pixel values stored in the frame buffer memory based on the forgetting factor.

Abstract: An apparatus and method for equalizing analog TV signals includes an antenna that receives the signal data, wherein the signal data comprises a luminance carrier comprising a luminance channel and a chrominance carrier comprising a chrominance channel; an analog-to-digital converter coupled to receiving antenna that converts the received signal data to digital signal data; an instruction memory storing digital equalizer instructions; and a digital equalizer system, coupled to the memory and the analog-to-digital converter, wherein the digital equalizer system processes the digital equalizer instructions to estimate a noise variation of the luminance channel; equalize the luminance channel; and equalize the chrominance channel, wherein the equalization of the chrominance channel is separate and distinct from the equalization of the luminance channel.

Abstract: A system and method for downscaling signal data, where the system includes an antenna receiving video signal data; an analog-to-digital converter coupled to the antenna and converting the received analog signal data to digital signal data; a memory storing video downscaling instructions; and a video downscaling processor, coupled to the memory and the analog-to-digital converter, wherein the video downscaling processor, upon reading the video downscaling instructions from the memory and executing the downscaling instructions: divides the digital video signal data into a plurality of blocks, wherein each block comprises a plurality of pixel elements; and cycles through the plurality of blocks, and for every block in the plurality of blocks, generates a new block, wherein the new block comprises a plurality of new pixels evenly spaced within the new block.