An MIMO training method including performing transmission sector sweeping using an initiator including a plurality of transmitting antennas, selecting a set of at least one transmission sector for each of the transmitting antennas using a responder including a plurality of receiving antennas; performing reception sector sweeping using the initiator, selecting a set of at least one reception sector for each of the plurality of receiving antennas using the responder, performing beam combination training using the initiator; and selecting a determined number of sector pairs consisting of a transmission sector and a reception sector from among the selected set of transmission sectors and the selected set of reception sectors using the responder, wherein the transmitting antennas in the selected sector pairs differ from one another, and the receiving antennas in the selected sector pairs differ from one another.

The present disclosure relates to a data transmission apparatus and method using a polarized antenna in a wireless AV system, and a data reception apparatus and method. The present specification provides a method for performing polarization alignment for a downlink on the basis of reciprocity, a method for performing polarization alignment for an uplink, and a method for performing polarization alignment independently for each DMG antenna when one data transmission apparatus or one data reception apparatus uses multiple DMG antennas. Optimal MIMO performance can be guaranteed by aligning polarization between multiple antennas of the data transmission apparatus and the data reception apparatus in the wireless AV system, the polarization alignment for a downlink or an uplink may be selectively performed on the basis of reciprocity, and polarization distortion can be reduced through the independent polarization alignment between each DMG antenna.

The present disclosure relates to a data transmission apparatus and method using a polarized antenna in a wireless AV system, and a data reception apparatus and method. The present specification provides a method for performing polarization alignment for a downlink on the basis of reciprocity, a method for performing polarization alignment for an uplink, and a method for performing polarization alignment independently for each DMG antenna when one data transmission apparatus or one data reception apparatus uses multiple DMG antennas. Optimal MIMO performance can be guaranteed by aligning polarization between multiple antennas of the data transmission apparatus and the data reception apparatus in the wireless AV system, the polarization alignment for a downlink or an uplink may be selectively performed on the basis of reciprocity, and polarization distortion can be reduced through the independent polarization alignment between each DMG antenna.

A method and apparatus may be used to support coordinated and cooperative sectorized transmissions. Power control and clear channel assessment for sectorized transmissions may be used, along with sectorized beacon and associated procedures. Transmissions in a network may be protected by a first access point (AP) sending an omni-directional transmission and a beamformed or sectorized transmission to a station (STA), an overlapping basic service set (OBSS) confirming a spatially orthogonal (SO) condition based on the omni-directional transmission, and a second AP monitoring the omni-directional transmission and confirming the SO condition. The STA may be configured to receive a request-to-send (RTS) frame indicating data is available for transmission, and transmit a cooperative sectorized (CS) clear-to-send (CTS) frame indicating an ability for multiple AP reception.

A system, method, and non-transitory computer readable medium that perform blind signal estimation for single-input multiple-output systems. The method can include receiving, by the two or more receiver antennas of the receiver, an observed signal comprising the input signal and an additive noise term. The method can then form a data matrix using the observed signals from the two or more receiver antennas. The method can also include computing a singular value decomposition of the data matrix. The singular value decomposition can then be used to generate a parameter matrix. The method can then form a Toeplitz signal matrix using the parameter matrix. The method can estimating the input signal using the Toeplitz signal matrix.

A system, method, and non-transitory computer readable medium that perform blind signal estimation for single-input multiple-output systems. The method can include receiving, by the two or more receiver antennas of the receiver, an observed signal comprising the input signal and an additive noise term. The method can then form a data matrix using the observed signals from the two or more receiver antennas. The method can also include computing a singular value decomposition of the data matrix. The singular value decomposition can then be used to generate a parameter matrix. The method can then form a Toeplitz signal matrix using the parameter matrix. The method can estimating the input signal using the Toeplitz signal matrix.

This disclosure provides methods, devices and systems for provisioning resources for wireless communications. Some implementations more specifically relate to provisioning such resources based on a mapping of wireless communication devices to a number of time sectors that occur periodically and do not overlap other time sectors. In some aspects, each wireless stations (STAs) in a basic service set (BSS) may be mapped to a respective time sector based on attributes associated with the BSS so that communications between a STA and its associated access point (AP) can only occur within the respective time sector(s) to which the STA is mapped. In some other aspects, each AP in a multi-AP environment may be mapped to a respective time sector based on attributes associated with the multi-AP environment so that communications between an AP and its associated STAs can only occur within the respective time sector(s) to which the AP is mapped.

This disclosure provides methods, devices and systems for provisioning resources for wireless communications. Some implementations more specifically relate to provisioning such resources based on a mapping of wireless communication devices to a number of time sectors that occur periodically and do not overlap other time sectors. In some aspects, each wireless stations (STAs) in a basic service set (BSS) may be mapped to a respective time sector based on attributes associated with the BSS so that communications between a STA and its associated access point (AP) can only occur within the respective time sector(s) to which the STA is mapped. In some other aspects, each AP in a multi-AP environment may be mapped to a respective time sector based on attributes associated with the multi-AP environment so that communications between an AP and its associated STAs can only occur within the respective time sector(s) to which the AP is mapped.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) having partially coherent antennas may be configured for simultaneous transmissions on groups of antennas. To achieve the benefits of simultaneous transmissions using groups of antenna that are partially coherent, without having the transmissions affect each other, the UE may apply a hybrid closed-loop multiple-input multiple-output (MIMO) scheme among each antenna in the antenna groups where phase coherence can be maintained. Following the hybrid closed-loop MIMO scheme, the UE may apply a transparent diversity scheme across each antenna of the groups. Alternatively, the UE may first apply the transparent diversity scheme and next apply the hybrid closed-loop MIMO scheme. By applying a hybrid closed-loop MIMO scheme, and a transparent diversity scheme, the UE may fully realize its resources and contribute to an improved spatial diversity for a MIMO system.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) having partially coherent antennas may be configured for simultaneous transmissions on groups of antennas. To achieve the benefits of simultaneous transmissions using groups of antenna that are partially coherent, without having the transmissions affect each other, the UE may apply a hybrid closed-loop multiple-input multiple-output (MIMO) scheme among each antenna in the antenna groups where phase coherence can be maintained. Following the hybrid closed-loop MIMO scheme, the UE may apply a transparent diversity scheme across each antenna of the groups. Alternatively, the UE may first apply the transparent diversity scheme and next apply the hybrid closed-loop MIMO scheme. By applying a hybrid closed-loop MIMO scheme, and a transparent diversity scheme, the UE may fully realize its resources and contribute to an improved spatial diversity for a MIMO system.