Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: This disclosure provides systems, methods and apparatuses for detecting motion based on one or more wireless signals. In some implementations, a receiving device may receive a first frame and a second frame from a transmitting device, may determine a first channel impulse response (CIR) based on the first frame, may determine a second CIR based on the second frame, may determine a difference between a shape of the first CIR and a shape of the second CIR, and may detect motion based on the determined difference.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: To determine a location of a client device in a wireless network having at least first and second network devices, with known locations, one of the network devices transmits a message to the other network device and the other network device responds with an acknowledgement message. A client device receives the message and the acknowledgement message as well as respective times indicating actual times at which the message and the acknowledgement message were processed by one of the first and second network devices. The client device determines its location based on the times at which it received the message and the acknowledgement message and the difference between the actual processing times. This location may be refined by determining an angle between the client device and at least one of the network devices having multiple antennas and being configured for steered beam communications.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. An initial symbol estimation is performed for a received symbol vector. The soft information of the received symbol vector can be more accurately calculated using every candidate symbol vector of a combined set of candidate symbol vectors, wherein the combined set is generated based on the initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

Abstract: A method for determining the location of a client device in a wireless network having at least a first and a second other network devices each with a known location is disclosed. The first other network device and the second other network device each transmit to the other two messages, and each acknowledges the first message sent by the other. The client device receives these messages, the acknowledgement messages, and respective timing information indicating the actual time when the message and the acknowledgement message were processed by the first and the second other network devices. The client device utilizes the difference between the actual processing times to determine its location. This method allows the location determination to be independent of the accuracy of the time of flight between the first other network device and the second other network device.

Abstract: Methods for determining a location of a client device in a wireless network having at least a first other network device with a known location are disclosed. Transmission-to-self calibrations are performed at the first other network device and/or the client device to determine RF group delay of the first other network device and/or the client device. The client device receives messages and acknowledgements from the other network devices and determines its location based on information received including the time at which it received the messages, the acknowledgements and the RF groupdelay of the first other network device. As such, the location calculation can be refined by accounting for the RF group delays of the first other network device and/or the client device.

Abstract: Methods for determining a location of a client device in a wireless network having at least a first other network device with a known location are disclosed. Transmission-to-self calibrations are performed at the first other network device and/or the client device to determine RF group delay of the first other network device and/or the client device. The client device receives messages and acknowledgements from the other network devices and determines its location based on information received including the time at which it received the messages, the acknowledgements and the RF group delay of the first other network device. As such, the location calculation can be refined by accounting for the RF group delays of the first other network device and/or the client device.

Abstract: A method for determining the location of a client device in a wireless network having at least a first and a second other network devices each with a known location is disclosed. The first other network device and the second other network device each transmit to the other two messages, and each acknowledges the first message sent by the other. The client device receives these messages, the acknowledgement messages, and respective timing information indicating the actual time when the message and the acknowledgement message were processed by the first and the second other network devices. The client device utilizes the difference between the actual processing times to determine its location. This method allows the location determination to be independent of the accuracy of the time of flight between the first other network device and the second other network device.

Abstract: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. An initial symbol estimation is performed for a received symbol vector. The soft information of the received symbol vector can be more accurately calculated using every candidate symbol vector of a combined set of candidate symbol vectors, wherein the combined set is generated based on the initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

Abstract: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. Initial symbol estimation is performed for a transmitted symbol vector. The soft information of the transmitted symbol vector can be more accurately calculated by deemphasizing the LLRs associated with symbols belonging to weak channels that may suffer from poor initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

Abstract: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. Initial symbol estimation is performed for a transmitted symbol vector. The soft information of the transmitted symbol vector can be more accurately calculated by deemphasizing the LLRs associated with symbols belonging to weak channels that may suffer from poor initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

Abstract: There is disclosed a receiver and associated methods in which a received signal can be sampled at the symbol rate rather than oversampled. This reduction in the sampling frequency compared with conventional receivers lowers power consumption. Quality metrics in receiving the data (e.g. packet error rate, etc) are not adversely affected by setting a programmable phase shift in the sampling frequency. The programmable shift can be selected through a calibration process using a known sequence of symbols, such as the short training field in 802.11 standards.

Abstract: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. An initial symbol estimation is performed for a received symbol vector. The soft information of the received symbol vector can be more accurately calculated using every candidate symbol vector of a combined set of candidate symbol vectors, wherein the combined set is generated based on the initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

Abstract: There is disclosed a receiver and associated methods in which a received signal can be sampled at the symbol rate rather than oversampled. This reduction in the sampling frequency compared with conventional receivers lowers power consumption. Quality metrics in receiving the data (e.g. packet error rate, etc) are not adversely affected by setting a programmable phase shift in the sampling frequency. The programmable shift can be selected through a calibration process using a known sequence of symbols, such as the short training field in 802.11 standards.

Abstract: To determine a location of a client device in a wireless network having at least first and second network devices, with known locations, one of the network devices transmits a message to the other network device and the other network device responds with an acknowledgement message. A client device receives the message and the acknowledgement message as well as respective times indicating actual times at which the message and the acknowledgement message were processed by one of the first and second network devices. The client device determines its location based on the times at which it received the message and the acknowledgement message and the difference between the actual processing times. This location may be refined by determining an angle between the client device and at least one of the network devices having multiple antennas and being configured for steered beam communications.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.