H04L25/0212

USING MIMO TRAINING FIELDS FOR MOTION DETECTION
20210135711 · 2021-05-06 · ·

In a general aspect, various fields of a PHY frame are used for motion detection. In some aspects, a first training field and a second, different training field are identified in a PHY frame of each wireless signal transmitted between wireless communication devices in a wireless communication network. A first time-domain channel estimate and a second time-domain channel estimate are generated for each wireless signal. The first time-domain channel estimate is based on a first frequency-domain signal included in the first training field, while the second time-domain channel estimate is based on a second frequency-domain signal included in the second training field. A determination is made whether motion has occurred in a space during the time period based on the first time-domain channel estimates, and a location of the motion within the space is determined based on the second time-domain channel estimates.

REFERENCE SIGNAL POWER ALLOCATION FOR CELLULAR-BASED RADIO FREQUENCY (RF) SENSING
20230413075 · 2023-12-21 ·

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) determines a transmit power of at least one sensing reference signal (S-RS) transmitted by a network node, wherein the transmit power of the at least one S-RS is determined based on a transmit power offset relative to a transmit power of a reference channel or reference signal transmitted by the network node, and determines an enhanced channel estimate of the at least one S-RS based on the transmit power of the at least one S-RS.

OTFS methods of data channel characterization and uses thereof

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 OTFS 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 OTFS data transmission methods.

Communication device, infrastructure equipment and methods

A communications device comprising receiver circuitry, transmitter circuitry and controller circuitry controlling the transmitter circuitry and the receiver circuitry to receive data in accordance with an automatic repeat request (ARQ) type protocol in which the data is received as a plurality of encoded data packets encoded with an error correction code and the transmitter circuitry transmits a feedback signal depending on whether each of the data encoded packets is estimated as having been decoded successfully by the receiver circuitry. The controller circuitry is configured to evaluate a quality measure of each encoded data packet and in response to the evaluated quality measure to transmit an early indication of the feedback signal to the wireless communications network, before the encoded data packet has been decoded by the error correction decoder.

WIRELESS COMMUNICATION SYSTEM, WIRELESS COMMUNICATION METHOD, AND TRANSMITTING DEVICE

[Problem]

Conventionally, in a wireless communication system that performs single-carrier communication with formation of symbol blocks, it has been difficult to select the optimal GI length and modulation and coding method that achieve the maximum throughput.

[Means of Solution]

A transmission device and a reception device are included. The transmission device includes: a transmission-side communication unit that performs communication using a single or a plurality of antennas; a modulation unit that generates a single-carrier signal in which a symbol block has been formed; a GI insertion unit; a weight multiplication unit that performs multiplication by a weighting coefficient; and a control unit that obtains information of an impulse response of a communication path from the reception device by transmitting a training signal before starting communication, calculates the weighting coefficient, and determines a modulation and coding method and a length of a GI that achieve the maximum throughput in accordance with SINRs in a specific period that are calculated by changing a length of the GI. The reception device includes an estimation unit that estimates the impulse response of the communication path using a training signal transmitted from the transmission device, and notifies the transmission device of information of the estimated impulse response of the communication path.

FIRST PATH ACCEPTANCE FOR SECURE RANGING
20210084499 · 2021-03-18 ·

A method for first path acceptance for secure ranging includes determining a Channel Impulse Response (CIR) of a communication channel for a plurality of channel taps. Each channel tap corresponds to a respective one of a plurality of time slots of the CIR, wherein the CIR includes a plurality of estimated CIR values. A statistical characteristic is extracted from the estimated CIR values within a temporal range of the channel taps. The statistical characteristic is compared to a reference value to detect a distance decreasing attack.

Secure training sequence symbol structure

A secure training sequence (STS) is included in wireless packets communicated between electronic devices to assist with channel estimation and wireless ranging. The STS includes multiple STS segments generated based on outputs from a cryptographically secure pseudo-random number generator (CSPRNG), the STS segments being separated by guard intervals and formatted in accordance with an 802.15.4 data symbol format that uses burst position modulation (BPM) and binary phase shift keying (BPSK) to map bits from the CSPRNG to burst positions and pulse polarities for the STS symbols. Both a first electronic device, which generates the STS, and a second electronic device, which estimates a communication channel using the STS, have prior private knowledge of cryptographic keys required to generate a non-repetitive single-use pseudo-random (PR) sequence by the CSPRNG. The STS includes two burst position intervals per STS symbol and two possible burst positions within each burst position interval.

Secure ranging wireless communication

This disclosure relates to techniques for performing secure ranging wireless communication. A first wireless device may receive a ranging packet from a second wireless device in a wireless manner. The ranging packet may include a first random sequence portion and a second random sequence portion. The first wireless device may perform one or more channel and noise estimations for the ranging packet. The first wireless device may perform one or more security checks for the ranging packet based on any or all of the first random sequence portion, the second random sequence portion, or the channel and noise estimation(s).

TIME REVERSAL FOR POSITIONING

In an aspect, a UE estimates channel state(s) of channels(s) between the UE and network node(s) based on DL RS(s) for positioning that are scheduled and transmitted on DL resources from network node(s). The UE may apply TR filter(s) derived based on the estimated channel state(s) to a UL-RS for positioning. The UE may transmit the TR filtered UL-RS on UL resources which are associated with the DL resources of the DL-RS(s) and which are scheduled by the network node(s). The association between the UL resources and the DL resources may be indicated to the UE by the network node(s).

WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF FULL DUPLEX TRANSMISSION USING NEURAL NETWORKS OR RECURRENT NEURAL NETWORKS
20210075464 · 2021-03-11 · ·

Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into intermediate results according to input data and delayed versions of the intermediate results. Each set of intermediate results may be combined in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is received by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same frequency band as the wireless receiver is receiving.