Huawei Technologies Co., Limited

Intel Corporation

Apple Inc.

Future Wei Technologies, Inc.

Huawei Technologies Canada Co., Ltd.

Hosein Nikopour

Jianglei Ma

Alireza Bayesteh

Shilpa Talwar

Oner Orhan

Zhihang Yi

Kelvin Kar Kin Au

Mohammadhadi Baligh

Liqing Zhang

Peiying Zhu

Petar Djukic

Ming Jia

Dong-Sheng Yu

Wen Tong

Amir Keyvan Khandani

Wook Bong Lee

Eren Sasoglu

Hua Xu

Claudio Da Silva

Arnaud Lucres Amadjikpe

Stefano Pellerano

Debabani Choudhury

Mahmoud Taherzadeh Boroujeni

Nageen Himayat

Yang-Seok Choi

Brent Elliott

Mahmoud Taherzadehboroujeni

Jing Zhu

Kameran Azadet

Bryan K Casper

Ofir Degani

Michael Genossar

Rotem Banin

Venkatesan Nallampatti Ekambaram

Sidharth Dalmia

Albert Molina

Georgios Yorgos Palaskas

Duncan Kitchin

Igal Kushnir

Saku Lahti

Usa Vilaipornsawai

Emanuel Cohen

Mikko S Komulainen

Gadi Shor

Jayprakash Thakur

Roya Doostnejad

Menashe Soffer

Kunal Datta

Ana M Yepes

Liuyang L Yang

Robert Wendell Heath, Jr

Feng Xue

Jaemin Han

Tom Harel

Xiruo Liu

Kuilin Clark Chen

Sridhar G Sharma

Farhana Sheikh

Moreno Ambrosin

Mo-Han Fong

Carlos Cordeiro

Robert J Stacey

Thomas J Kenney

Minyoung Park

Murali Narasimha

Ashoke Ravi

Sudeep K Palat

Justin E Gottschlich

Kathiravetpillai Sivanesan

Markus Dominik Mueck

Bernhard Raaf

Sophie Vrzic

Shahrnaz Azizi

Robert Novak

Ping Wang

Bahareh Sadeghi

Christian Drewes

Hassnaa Moustafa

Zhibin Yu

Dave A Cavalcanti

Yu Cao

Jerome Parron

Bertram Gunzelmann

Biljana Badic

Sabine Roessel

Sudeep Manithara Vamanan

Jun Yuan

Laurent Cariou

Ingolf Karls

Javier Perez-Ramirez

Juan Fang

Dario Sabella

Miltiadis Filippou

Andreas Augustin

Domagoj Siprak

Halim Yanikomeroglu

Stefan Mueller-Weinfurtner

Christopher Hull

Brent R Carlton

Gregory W Chance

A system for wireless communication, the system may include a processor configured to generate encoded packets representative of input packets. The processor may also be configured to determine a probability of a transmission error for each link of a plurality of links. In addition, the processor may be configured to determine a probability of a link blockage error for each link of the plurality of links. Further, the processor may be configured to determine an allocation scheme for the encoded packets on the plurality of links based on the probability of the transmission error and the probability of the link blockage error for each link of the plurality of links. The processor may be configured to allocate the encoded packets on the plurality of links according to the allocation scheme. The processor may also be configured to instruct to wirelessly transmit the encoded packets on the plurality of links.

Packet encoding and allocation in multi-link systems

The present disclosure relates to a device for use in a wireless network, the device including: a processor configured to: provide input data to a trained graph neural network model, the input data being indicative of a graph representation of a plurality of wireless communication devices, wherein the trained graph neural network model is configured to provide output data being indicative of a scheduled user set including the plurality of wireless communication devices; and instruct user scheduling of the plurality of wireless communication devices based on the output data of the trained graph neural network model.

User scheduling using a graph neural network

The application relates to ultra-low latency data transmission in Wireless Local Area Networks (WLANs). An apparatus used in a non-Access Point Station (non-AP STA), includes processor circuitry configured to cause the non-AP STA to, when there is urgent data that must be transmitted in uplink without waiting for a scheduled slot: generate a Protocol Data Unit (PDU) from the urgent data; and transmit the PDU on a resource unit pre-assigned for urgent transmission, wherein the resource unit is multiplexed for uplink transmission from multiple non-AP STAs.

Ultra-low latency data transmission in WLANs

The present disclosure provides connection management techniques based on graph neural networks (GNN) and deep reinforcement learning (DRL) to optimize user association and load balancing. A graph structure of a communication network is considered for the GNN architecture and DRL is used to learn parameters of the GNN algorithm/model. Connection management is defined as a combinatorial graph optimization problem, and the DRL mechanism uses the underlying graph to learn weights of the GNN for an optimal user connections or associations. The connection management techniques can consider local network features to make better decisions to balance network traffic load while network throughput is also maximized. Implementations are provided based on edge computing frameworks include the Open RAN (O-RAN) architecture. Other embodiments may be described and/or claimed.

Graph neural network and reinforcement learning techniques for connection management

The present disclosure is related to multi-access traffic management in multi-access computing environments. A reliability enhancement engine (REE) operated by a multi-access multipath traffic manager identifies traffic flows that have high reliability requirements ('reliability flows') and performs admission control for the reliability flows. The REE determines a coding rate (e.g., a redundancy factor) and traffic distribution strategies for the identified reliability flows. The REE applies cross-access network coding (NC) on the reliability flows, and handles multi-access acknowledgements and traffic pacing, which may involve multiplexing traffic of the reliability flows with non-high-reliability traffic. Other embodiments may be described and/or claimed.

Reliability enhancements for multi-access traffic management

Millimeter-wave (mmWave) and sub-mmWave technology, apparatuses, and methods that relate to transceivers and receivers for wireless communications are described. The various aspects include an apparatus of a communication device including an antenna array and processing circuitry coupled to the antenna array. The processing circuitry is configured to initialize a beam tracking algorithm based on received signals received at the antenna array, wherein antenna phases used in the beam tracking are bound by an upper phase limit and a lower phase limit, to generate a beam tracking result. The processing circuitry is further configured to generate a calibration vector based on the beam tracking result and receive subsequent transmissions using a codebook adapted based on the calibration vector.

Beam management and antenna calibration in MIMO systems

A computing node to implement an RL management entity in an NG wireless network includes a NIC and processing circuitry coupled to the NIC. The processing circuitry is configured to generate a plurality of network measurements for a corresponding plurality of network functions. The functions are configured as a plurality of ML models forming a multi-level hierarchy. Control signaling from an ML model of the plurality is decoded, the ML model being at a predetermined level (e.g., a lowest level) in the hierarchy. The control signaling is responsive to a corresponding network measurement and at least second control signaling from a second ML model at a level that is higher than the predetermined level. A plurality of reward functions is generated for training the ML models, based on the control signaling from the MLO model at the predetermined level in the multi-level hierarchy.

Reinforcement learning (RL) and graph neural network (GNN)-based resource management for wireless access networks

Millimeter wave (mmWave) technology, apparatuses, and methods that relate to transceivers, receivers, and antenna structures for wireless communications are described. The various aspects include co-located millimeter wave (mmWave) and near-field communication (NFC) antennas, scalable phased array radio transceiver architecture (SPARTA), phased array distributed communication system with MIMO support and phase noise synchronization over a single coax cable, communicating RF signals over cable (RFoC) in a distributed phased array communication system, clock noise leakage reduction, IF-to-RF companion chip for backwards and forwards compatibility and modularity, on-package matching networks, 5G scalable receiver (Rx) architecture, among others.

Wireless communication technology, apparatuses, and methods

A receiver circuit associated with a communication device is disclosed. The receiver circuit comprises a digital data compression circuit configured to receive a plurality of digital receive signals derived from a plurality of analog receive signals respectively associated with the receiver circuit. The digital data compression circuit is further configured to compress the plurality of digital receive signals to form one or more compressed digital data signals based thereon, to be provided to an input output (I/O) interface associated therewith. In some embodiments, a compressed digital signal dimension associated with the one or more compressed digital data signals is less than a digital signal dimension associated with the plurality of digital receive signals.

Low power mmWave receiver architecture with spatial compression interface

Various embodiments herein provide techniques for integrated access and backhaul (IAB) nodes. For example, embodiments include techniques associated with: rate-proportional routing for network coding; utilizing multiple routes in IAB networks; user equipment (UE) and parent selection for efficient topology in IAB networks; establishing efficient IAB topologies; and/or adaptive coded-forwarding for network coding. Other embodiments may be described and claimed.

Techniques for integrated access and backhaul (IAB) nodes

An apparatus, method and computer readable medium for special thermal density reduction by antenna thinning. A system comprises N transmit/receive (TX/RX) chains, where each TX/RX chain comprises an RFFE and each RFFE comprises one or more thermal sensors configured to measure heat in the RFFE. An antenna array coupled to the plurality of TX/RX chains. A codebook that comprises a plurality of code words configured to respond to real-time heat measurements from the thermal sensors in each TX/RX chain is configured to switch off selected TX/RX chains to reduce thermal density at the antenna array while maintaining M RFFEs switched on, where M<N and the desired beamforming gain is 10 log 10(M).

Spatial thermal density reduction for MMWAVE antenna arrays

A transmitter for chip to chip communication may include a modulator and a transmit frequency converter. The modulator may modulate a first received signal according to a first modulation scheme. The modulator may also modulate a second received signal according to a second modulation scheme. The transmit frequency converter may center the first received signal on a first frequency that does not comprise a phase within a radio frequency (RF) domain to generate a first centered signal. The transmit frequency converter may also center the second received signal on a second frequency that comprises a phase within the frequency band to generate a second centered signal. The second centered signal may be orthogonal to the first centered signal. A frequency gap may be positioned between the first centered signal and the second centered signal within the frequency band.

Wireless chip to chip communication with selective frequency multiplexing with different modulation schemes

A communication device including one or more processors configured to determine a first signal component of a received modulated signal; determine a second signal component of the received modulated signal; generate a phase shift of the first signal component; generate a phase shift of the second signal component; compare the phase shift of the first signal component and the phase shift of the second signal component with each other; and generate a plurality of constellation points, wherein each of the plurality of constellation point is based on the determination of the first signal component, the determination of the second signal component, and the comparison.

Methods and devices for signal demodulation

Millimeter-wave (mmWave) and sub-mmWave technology, apparatuses, and methods that relate to transceivers and receivers for wireless communications are described. The various aspects include an apparatus of a communication device including one or more antennas configured to receive an RF signal and an ADC system. The ADC system includes a 1-bit ADC configured to receive the RF signal, and an ADC controller circuitry configured to measure a number of positive samples in the received RF signal for a plurality of thresholds of the 1-bit ADC, estimate receive signal power associated with the received RF signal based on the measured number of positive samples, determine a direct current (DC) offset in the received RF signal using the estimated received signal power, and adjust the received RF signal based on the determined DC offset.

Equalization and estimation processing in wireless devices

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San Jose, CA, United States of America

Hosein Nikopour