Cohere Technologies, Inc.

Other

Zte Corporation

Ronny Hadani

Shlomo Selim Rakib

Shachar Kons

Yoav Hebron

Michail Konstantinos Tsatsanis

Robert Fanfelle

Salim Shlomo Rakib

Selim Shlomo Rakib

Anton Monk

Clayton Ambrose

Christian Ibars Casas

James Delfeld

Vamadevan Namboodiri

Jim Delfeld

Andreas Molisch

Richard Benner

Paul Harris

Stuart Abrams

Anthony Ekpenyong

Konstantinos Dimou

A method for modulating data for transmission within a communication system. The method includes establishing a time-frequency shifting matrix of dimension N×N, wherein N is greater than one. The method further includes combining the time-frequency shifting matrix with a data frame to provide an intermediate data frame. A transformed data matrix is provided by permuting elements of the intermediate data frame. A modulated signal is generated in accordance with elements of the transformed data matrix.

Modulation and equalization in an orthonormal time-shifting communications system

Methods, systems and devices for wireless communication are described. One example method includes mapping information bits to transmission resources in a two-dimensional delay-Doppler grid In this example, the two-dimensional delay-Doppler grid includes N Doppler elements along a Doppler dimension and M delay elements along a delay dimension, and N and M are positive integers. The example method continues with converting a result of the mapping to a signal waveform, and generating an orthogonal time frequency space (OTFS) waveform by spreading the signal waveform using a spreading scheme. In some examples, the signal waveform includes an ultra-wide band (UWB) waveform.

Ultra wide band signals using orthogonal time frequency space modulation

Methods, systems, and devices for spectral sharing wireless systems, wherein multiple user devices share time and frequency resources for uplink and/or downlink transmissions, are described. One example method includes transmitting transmission symbols from the network station to at least one user device by processing through a first precoder and a pre-compensation stage, wherein the pre-compensation stage is selected to have the transmission symbols receivable at the at least one user device to appear as if the transmission symbols are processed by a second precoder different from the first precoder.

Spectral sharing wireless systems

A wireless communication method includes receiving, by a first wireless device during a training phase, reference tones using a first number of resource elements from a transmitter of a second wireless device, wherein the first wireless device comprises multiple receiving antennas, estimating, by the first wireless device, from the receiving the reference tones, a second order statistics of wireless channels between the multiple receiving antennas and the transmitter of the second wireless device, and performing channel estimation, during an operational phase subsequent to the training phase, using the second order statistics and reference tones received on a second number of resource elements, wherein the second number is less than the first number.

Reciprocal calibration for channel estimation based on second-order statistics

Orthogonal Time Frequency Space (OTFS) is a novel modulation scheme with significant benefits for 5G systems. The fundamental theory behind OTFS is presented in this paper as well as its benefits. We start with a mathematical description of the doubly fading delay-Doppler channel and develop a modulation that is tailored to this channel. We model the time varying delay-Doppler channel in the time-frequency domain and derive a new domain (the OTFS domain) where we show that the channel is transformed to a time invariant one and all symbols see the same SNR. We explore aspects of the modulation like delay and Doppler resolution, and address design and implementation issues like multiplexing multiple users and evaluating complexity. Finally we present some performance results where we demonstrate the superiority of OTFS.

Orthogonal time frequency space modulation techniques

Fiber, cable, and wireless data channels are typically impaired by reflectors and other imperfections, producing a channel state with echoes and frequency shifts in data waveforms. Here, methods of using pilot symbol waveform bursts to automatically produce a detailed 2D model of the channel state are presented. This 2D channel state can then be used to optimize data transmission. For wireless data channels, an even more detailed 2D model of channel state can be produced by using polarization and multiple antennas in the process. Once 2D channel states are known, the system turns imperfect data channels from a liability to an advantage by using channel imperfections to boost data transmission rates. The methods can be used to improve legacy data transmission modes in multiple types of media, and are particularly useful for producing new types of robust and high capacity wireless communications using non-legacy data transmission methods as well.

Method and apparatus for determining a channel state of an impaired data channel

Methods, systems and devices for wireless communication are described. One example method includes performing a first mapping in which information bits are mapped to transmission resources in a first portion of a two-dimensional delay-Doppler grid. Herein, the two-dimensional delay-Doppler grid comprises N Doppler elements and M delay elements, where N and M are positive integers. The method further includes performing a second mapping in which a reference signal is mapped to transmission resources in a second portion of the two-dimensional delay-Doppler grid, and generating a transmission waveform from a signal combination of an output of the first mapping and an output of the second mapping. The transmission waveform corresponds to an output of an orthogonal time frequency space (OTFS) waveform of the signal combination, and at least the output of the second mapping undergoes a time domain spreading.

Pulse shaping in delay-doppler domain

A wireless communication method includes determining, by a network device, uplink power allocations assigned to each user device of multiple user devices; estimating a channel response for each user device of multiple user devices based on a corresponding uplink reference signal transmission received from the each user device; computing, for the each user device, a covariance matrix based on a corresponding channel response, determining a maximum eigenvector of an uplink signal to interference and noise ratio (SINR) matrix for the each user device; computing, from the uplink SINR matrix, a downlink cross-interference matrix for the each user device; selecting, from the downlink cross-interference matrix for the each user device, a selected vector that maximizes a selected criterion for the each user device; and determining, from the selected vectors of the multiple user devices, a downlink power allocation for the each user device of multiple user devices.

Reciprocal geometric precoding

Methods, systems and devices for wireless communication, which include localization and auto-calibration, are described. One example method includes receiving, at a wireless device, signal transmissions from one or more network devices, and generating, by processing the signal transmissions, a feedback signal for antenna calibration of the one or more network devices. In some embodiments, the antenna calibration is used for performing device localization and feature map generation that is subsequently used for scheduling transmissions in a wireless network.

Localization and auto-calibration in a wireless network

Methods, apparatus and systems for wireless communication are described. One example method includes estimating, based on channel quality information for a first communication channel during a first time interval, a predicted quality of a second communication channel during a second time interval that is a latency interval after the first time interval and using the predicted quality for processing transmissions on the second communication channel during the second time interval.

Channel quality prediction in cloud based radio access networks

An Orthogonal Time Frequency Space Modulation (OTFS) modulation scheme achieving multiple access by multiplexing multiple signals at the transmitter-side performs allocation of transmission resources to a first signal and a second signal, combining and converting to a transmission format via OTFS modulation and transmitting the signal over a communication channel. At the receiver, multiplexed signals are recovered using orthogonality property of the basis functions used for the multiplexing at the transmitter.

Multiple access using orthogonal time frequency space modulation

Computerized wireless transmitter/receiver system that automatically uses combinations of various methods, including transmitting data symbols by weighing or modulating a family of time shifted and frequency shifted waveforms bursts, pilot symbol methods, error detection methods, MIMO methods, and other methods, to automatically determine the structure of a data channel, and automatically compensate for signal distortions caused by various structural aspects of the data channel, as well as changes in channel structure. Often the data channel is a two or three dimensional space in which various wireless transmitters, receivers and signal reflectors are moving. The invention's modulation methods detect locations and speeds of various reflectors and other channel impairments. Error detection schemes, variation of modulation methods, and MIMO techniques further detect and compensate for impairments. The invention can automatically optimize its operational parameters, and produce a deterministic non-fading signal in environments in which other methods would likely degrade.

Location-assisted channel estimation methods in wireless communications systems

Methods, devices, and systems for communication techniques that use the quasi-static properties of wireless channels are described. One example method to improve communication performance includes receiving a set of pilots over a transmission channel between the wireless communication apparatus and a far-end communication apparatus, the transmission channel comprising a first portion that is time-invariant and a second portion that is time-variant, processing the received set of pilots to generate an estimate of the first portion, processing the received set of pilots to generate an estimate of the second portion, and performing a communication based on a channel state information that is a weighted combination of a first term based on the estimate of the first portion and a second term based on the estimate of the second portion.

Communication techniques using quasi-static properties of wireless channels

Methods, systems and devices for distributed cooperative operation of wireless cells based on sparse channel representations are described. One example method includes providing, using a server, seamless wireless connectivity in an area in which a plurality of network nodes are organized as clusters, where each network node is configured to provide wireless connectivity via N angular sectors covering a surrounding area, where N is an integer and wherein angular sectors of the plurality of network nodes collectively cover the area; controlling, by the server, network nodes in a cluster to collect channel condition information for the N angular sectors and communicate the channel condition information to the network-side server, and operating the server to use the channel condition information collected from the network nodes in the cluster to control communication for the network nodes in the cluster at a different time or a different frequency or a different spatial direction.

Distributed cooperative operation of wireless cells based on sparse channel representations

Techniques for performing channel estimation in an orthogonal time, frequency and space (OTFS) communication system include receiving a wireless signal comprising a data signal portion and a pilot signal portion in which the pilot signal portion includes multiple pilot signals multiplexed together in the OTFS domain, performing two-dimensional channel estimation in a time-frequency domain based on a minimum mean square error (MMSE) optimization criterion, and recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.

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Austin, TX, United States of America

Ronny Hadani