Qualcomm Incorporated

Agere Systems Inc.

Lucent Technologies Inc.

Airgo Networks, Inc.

Geert Arnout Awater

Vincent Knowles Jones, Iv

Didier Johannes Richard Van Nee

James M Gardner

D J Richard Van Nee

Gregory C Steele

Albert Van Zelst

Adriaan Kamerman

Hemanth Sampath

Maarten Menzo Wentink

Richard Van Nee

Brian L Wong

Santosh Paul Abraham

Bin Tian

Stephen Jay Shellhammer

Mohammad Hossein Taghavi Nasrabadi

Hendrik Moelard

Richard D Van Nee

Simone Merlin

Alfred Asterjadhi

Sanjiv Nanda

Jibing Wang

Vinay Sridhara

Partho Pratim Mishra

Anjur Sundaresan Krishnakumar

Roberto Rimini

Alok Aggarwal

Zhi Quan

Ran-Hong Yan

Robert John Kopmeiners

Wilhelmus Diepstraten

Nitin Ravinder

Richard D J Van Nee

Didier J Van Nee

Albert Van Zeist

Arnout Hendrik De Wild

Muhammed Faruk Gencel

Arnold Liu

Frederik Carel Schoute

Brian Leslie Wong

Vincent K Iv Jones

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for determining one or more tone sequences (for example, for wake-up procedures). In one aspect, an access point (AP) may wake a mobile station (STA) from a low power mode using a wake-up packet, where an ON symbol of the wake-up packet is modulated using a tone sequence. To reduce the likelihood of a STA falsely identifying the ON symbol as a packet preamble, the AP may implement a tone sequence that satisfies a correlation metric threshold. For example, for a set of candidate tone sequences, each tone sequence may be associated with a correlation metric and peak-to-average-power ratio (PAPR) coordinate pair, and the tone sequence for modulating the ON symbol of the wake-up packet may be selected from a lower convex hull of the coordinate pairs.

Determining a tone sequence for wake-up procedures

This disclosure provides methods, devices and systems for identifying wake-up signals. Some implementations more specifically relate to PHY preamble designs for wake-up signals such as Wake-Up Radio (WUR) packets conforming to IEEE 802.11ba. In some implementations, the preamble designs can include a combination of modulation schemes, data rate indications and length indications enabling devices capable of receiving and decoding wake-up signals to identify the signals as wake-up signals (for example, WUR packets), while ensuring that devices not capable of receiving and decoding wake-up signals identify the wake-up signals as legacy packets, or otherwise not WUR packets.

Preamble design for wake-up signals

Methods and apparatus for reverse link acknowledgement in a wireless local area network. A method includes receiving, at a first node, a data communication over a common channel, the data communication being decodable by other nodes. The method also includes determining transmission resources from the data communication, wherein the transmission resources are different for each node, and transmitting a response over the common channel using the determined transmission resources. An apparatus includes a transmitter configured to transmit to a plurality of nodes a data communication over the common channel, and a receiver configured to receive responses from the plurality of nodes, wherein each response was sent using different transmission resources determined from the data communication.

Methods and apparatus for reverse link acknowledgement in a wireless local area network (WLAN)

Systems, methods, and devices for communicating packets having a plurality of types are described herein. In some aspects, the packets include a compressed MAC header. In some aspects the packets include an acknowledgment (ACK) frame. The fields included in a particular packet type may be based on the type of information to be communicated to the receiving device.

Apparatus and methods for media access control header compression

Certain aspects of the present disclosure generally relate to wireless communications and, more particularly, to techniques for accurately determining a number of data symbols in a data packet. The techniques provided herein may allow a receiving terminal to correct number of symbol calculations based on such ambiguous length field values.

Guard interval signaling for data symbol number determination

Systems and/or methods for communication generate a plurality of spatial streams. Each of the spatial streams comprises a plurality of symbols. At least a portion of a training sequence is distributed across a first symbol in a first one of the spatial streams and a second symbol in a second one of the spatial streams.

Preamble extensions

Systems and methods are disclosed to implement non-linear interference cancellation (NLIC) across chips or dies in communication systems to cancel or mitigate self-jamming interference. A victim transceiver may receive an analog baseband transmit (Tx) signal from an aggressor transceiver. The analog baseband Tx signal may be tapped from a digital analog converter (DAC) of the aggressor transceiver. Alternatively, the analog baseband Tx signal may be generated by the aggressor transceiver using an auxiliary down-conversion and filtering stage. The victim transceiver may receive a composite baseband Rx signal from the victim transceiver front-end. The composite baseband Rx signal includes the desired Rx signal and an interference signal. The victim transceiver may sample the analog baseband Tx signal to generate a digital signal replica of the analog baseband Tx signal for the NLIC operation to cancel or mitigate the interference signal present in the composite baseband Rx signal.

Non-linear interference cancellation across aggressor transmitters and victim receivers

A method for providing uplink spatial division multiple access (SDMA) transmission opportunities (TXOP) is described. A demarcation indication may be sent to one or more subscriber stations. An SDMA contention window may be started. An allocation indication may be received. Requested uplink SDMA TXOP resources may be allocated according to the allocation indication.

Systems and methods for providing a separate contention window allowing allocations for pending uplink SDMA transmission opportunities

Certain aspects of the present disclosure relate to systems, devices, and methods for communicating over a plurality of tones and spatial streams. Modulation symbols may be mapped to tones and spatial streams so as to increase frequency and/or spatial diversity without substantially increasing latency. For certain aspects, this interleaving approach may be performed on low-density parity-check (LDPC) codewords.

Low-latency interleaving for low-density parity-check (LDPC) coding

A soft symbol decoder for use in a multiple input multiple output (MIMO) and OFDM (orthogonal frequency division multiplexing) system. The decoder generates soft symbol values for a digital signal that represents a number of source bits. The source bits are transmitted as symbols in corresponding to points in a signaling constellation. Soft metrics are determined by searching for all possible multi-dimensional symbols that could have been transmitted. The method includes transmitting a sample of the multi-dimensional symbol using K transmit antennas. The multi-dimensional symbol is represent-able as a complex, K-dimensional vector x. Each vector component of vector x represents a signal transmitted with one of the K transmit antennas. After transmission through a communication channel, a sample corresponding to the transmitted sample is received. The received sample is represented by a complex, N-dimensional vector y, where N is the number of receive antennas in the MIMO system. After the sample is received, a soft metric L(b) is determined for each bit bencoded by x according to the equation: and xrepresents all possible values for x. In addition, a reduced complexity method is used for providing soft metric values in the MIMO system. This exemplary aspect reduces the complexity of the above computations from 2to 2, where B is the number of bits transmitted per symbol per antenna.

System for soft symbol decoding MIMO log-map detection

Systems and methodologies are described that provide low-complexity soft-output detection for MIMO communication systems. Looping can be performed over a set of constellation points per spatial stream to obtain distance metrics for each of a series of transmitted streams, for which values for the other transmitted streams can be estimated using a MIMO channel matrix and a sub-optimal MIMO algorithm. Examples of MIMO algorithms that can be utilized include Per-Stream List Detection (PSLD), Lattice-Reduced Detection (LRD), and a Guided-M Algorithm. Performance can be further improved by pre-processing the MIMO channel matrix and/or by utilizing techniques for Enhanced Metric Usage (EMU).

Near soft-output maximum-likelihood detection for multiple-input multiple-output systems

In one embodiment, a wireless device for a wireless data communication system including the wireless device and a base station. The base station includes a plurality of first groups and a signal-processing unit. Each first group includes a receiver and at least one antenna connected to the receiver. The signal-processing unit includes memory and a processor adapted to process signals received by the first groups using a Maximum Likelihood Detection (MLD) method. The wireless device includes a plurality of second groups, each second group adapted to transmit a wireless signal to at least one first group via a corresponding communication channel. Each second group further includes a transmitter and at least one antenna connected to the transmitter. The signal-processing unit is adapted to store, in the memory, information corresponding to one or more transfer functions, each transfer function corresponding to transmission of a wireless signal from an antenna of the second groups to an antenna of the first groups. The transmitters and receivers are adapted to operate at essentially the same frequency or frequency band. Two or more of the communication channels are generated simultaneously. Each transmitter is adapted to modulate an information signal on a radio-frequency signal according to a Quadrature Amplitude Modulation (QAM) method to transmit QAM symbols. Each receiver is adapted to demodulate information signals from a received radio-frequency signal according to the QAM method.

Decoding techniques for multi-antenna systems

Methods and systems are provided for transmitting a plurality of information signals in a multiple antenna communication system. One or more information signals are coded using a plurality of coders to generate the plurality of coded information signals and an Inverse Fast Fourier Transformation is performed on each of the plurality of coded information signals to create a corresponding output signal. Each of the corresponding output signals are transmitted on a different antenna. Each of the plurality of coded information signals can optionally be separated into K signals. On the receiver side, a signal comprising K different frequencies is received on at least N receive antennas and a Fast Fourier Transformation is applied to each of the at least N received versions of the signal comprising K different frequencies to generate N*K low frequency signals. The N*K separate low frequency signals are then combined to recover a transmitted information signal, based on one or more transfer functions from each of a plurality of transmit antennas to each of the N receive antennas.

Methods and systems for transmitting an information signal in a multiple antenna communication system

Certain aspects of the present disclosure present a technique for designing a signal (SIG) field of a mixed mode preamble transmitted to a plurality of user terminals. The SIG field can signal a number of spatial streams assigned to each user. The SIG field is designed such that a robust interference cancellation can be achieved at each user terminal.

Mixed mode preamble design for signaling number of streams per client

Growing community of inventors

Utrecht, Netherlands

Geert Arnout Awater