Intel Corporation

Apple Inc.

Intel Mobile Communications Gmbh

Intel Deutschland Gmbh

RongZhen Yang

Hujun Yin

Qinghua Li

Xiaogang Chen

Huaning Niu

Jong-Kae Fwu

Robert J Stacey

Yuan Zhu

Kamran Etemad

Po-Kai Huang

Yang-Seok Choi

Apostolos Papathanassiou

Wei Guan

Jin Fu

Sassan Ahmadi

Xiaoshu Qian

Peng Meng

Alexei Vladimirovich Davydov

Debdeep Chatterjee

Yujian Zhang

Chittabrata Ghosh

Yongsen Ma

Xiangying Yang

Liang Jiang

Xiaoran Fang

Xiaoliang Luo

Shoujiang Ma

Andreas Schmidt

Vivek G Gupta

Nageen Himayat

Jeongho Jeon

Shilpa Talwar

Feng Chen

Honggang Li

Kerstin Johnsson

SeungHee Han

Yi Hsuan

Longjing Zhu

Hong He

Yushu Zhang

Dae Won Lee

Gang Xiong

Mo-Han Fong

Youn Hyoung Heo

Umesh Phuyal

Yongjun Kwak

Hyung-Nam Choi

Rui Huang

Gregory Vladimirovich Morozov

Guotong Wang

Wenting Chang

Ali Taha Koc

Guoqing C Li

Hooman Shirani-Mehr

Michael Zhang

Matthew Hayes

Liang He

Hui Ding

Shi Liu

Xinrong Wang

Linging Gui

Sheldon Yang

Zheng-Hua Zhou

Mehrzad Malmirchegini

John P Hogan

Aspects for machine learning-based link adaptation are described. For example, an apparatus can determine k-nearest neighbors (K-NNs) based on training data associated with the sub-band and on the signal to interference and noise ratio (SINR) of the sub-band. In aspects, the apparatus can identify a channel quality indicator (CQI) associated with the lowest error rate for the k-NNs and provide the identified CQI to a base station. In aspects, a neural network (NN) can provide labels for CQIs that indicate probability of choosing a CQI, and the CQI having highest probability will be provided to a base station. In aspects, a covariance matrix based on samples of a communication channel can be provided to a NN to determine a rank indicator (RI) corresponding to the channel, and channel state information associated with the (RI) can be sent to the base station. Other aspects are described.

Machine learning-based link adaptation

A method, system, medium, and article provide neural network loop filtering for video coding with multiple alternative neural networks.

Method and system of neural network loop filtering for video coding

Uplink Transmission Power Control (TPC) techniques configured to compensate for variations in path loss and/or interference on a plurality of uplink transmission beams.

Systems and methods for uplink transmission power control

Embodiments of the present invention provide a virtual multicarrier design for orthogonal frequency division multiple access communications. Other embodiments may be described and claimed.

Virtual multicarrier design for orthogonal frequency division multiple access communications

An apparatus, method, and computer readable media for requesting and sending block acknowledgement requests (BARs) and block acknowledgments (BAs) is disclosed. A method for BARs is disclosed. The method may include transmitting data frames to two or more wireless communication devices in accordance with a multi-user multiple-input and multiple-output (MU-MIMO). The method may include transmitting block acknowledgement requests (BARs) for the transmitted data frames to the two or more wireless communication devices in accordance with MU-MIMO. The method may include receiving block acknowledges (BA) of the data frames from the two or more wireless communication devices in accordance with MU-MIMO. A method for BAs is disclosed. The method may include receiving data frames from a second wireless communication device. The method may include receiving a block acknowledgement request from the second wireless communication device The method may include sending a block acknowledgement to the second wireless communication device using MU-MIMO.

Wireless device, method, and computer readable media for requesting and sending block acknowledgement

Methods, devices and systems for jointly encoding allocation information of one or more wireless communication stations in a common portion of a physical layer header are disclosed. In some examples, a wireless device may: generate allocation information associated with one or more wireless communication stations; encode the allocation information into the common portion of the physical layer header; and transmit the physical layer header to the one or more wireless communication stations.

Joint encoding of wireless communication allocation information

This disclosure describes methods, apparatus, and systems related to a high efficiency signal field encoding structure. A device may determine a communications channel having a bandwidth of a frequency band. The device may determine a first group of subchannels of the bandwidth and a second group of subchannels of the bandwidth. The device may determine a high efficiency signal field to be transmitted on the communications channel to a first device. The device may encode the high efficiency signal field using the first group of subchannels and the second group of subchannels. The device may cause to send the high efficiency signal field to the first device.

High efficiency signal field encoding structure

A transmitter/receiver pair may estimate a first channel interference caused during the spatial reuse phase by the transmitter/receiver pair to other transmitter/receiver pairs over a channel. A second channel interference experienced by the transmitter/receiver pair may be estimated during the spatial reuse phase by the transmitter/receiver pair from the other transmitter/receiver pairs. An interference margin may be estimated for the channel based on the first and second channel interferences. The interference margin may be announced to the other transmitter/receiver pairs in frame. The interference margin may then be complied with while communicating over the channel in order to control the interference.

Spatial reuse of Wi-Fi channels with interference estimation and control

Certain embodiments herein relate to stream allocation indication for high efficiency wireless networks. A frame may include a HE-SIG-B field having a common part and an STA-specific part used to indicate multi-user multi-input multi-output (MU-MIMO) resource allocation. In some embodiments, a frame may include an HE-SIG-B field only having an STA-specific part used to indicate resource allocation.

Systems and methods for Wi-Fi high efficiency preambles for multi-user multi-input multi-output resource allocation

Systems, apparatus, and methods to provide an indication of frequency resource unit (RU) allocation from a wireless access point (AP) to one or more station devices (STA) are disclosed. The AP may be configured to generate a protocol data unit including a high efficiency wireless (HEW) preamble that indicates the RU allocation corresponding to each of the STA. The indication of the RU allocation for each of the STA, as disclosed herein, may be encoded in fewer bits than providing a bitmap of the RU allocation for each of the STA. A predetermined RU pattern may be used to map RU (e.g., 26 tone units, 52 tone units, etc.) to a RU allocation index. This RU allocation pattern may be efficiently communicated to each of the STAs in the HEW preamble of the protocol data unit.

Systems and methods for Wi-Fi high efficiency preambles for resource unit allocation

Embodiments of user equipment and methods for improved uplink transmission power management and scheduling, are generally described herein. For example, in an aspect, a method of uplink power management is presented, the method includes determining whether a total desired transmission power exceeds a total configured maximum output power for a subframe. When the total desired transmission power exceeds the total configured maximum output power, the method includes allocating a minimum proactive power limitation to each serving cell, assigning a remaining power to one or more channels based on priority, and computing a total power assignment based on the allocating and the assigning.

User equipment and method for enhanced uplink power control

Apparatuses, methods, and computer readable media for signaling high efficiency short training field are disclosed. A high-efficiency wireless local-area network (HEW) station is disclosed. The HEW station may comprise circuitry configured to: receive a trigger frame comprising an allocation of a resource block for the HEW station, and transmit a high efficiency short training field (HE-STF) with a same bandwidth as a subsequent data portion, wherein the transmit is to be in accordance with orthogonal frequency division multiple access (OFDMA) and wherein the transmit is within the resource block. A subcarrier allocation for the HE-STF may match a subcarrier allocation for the subsequent data portion. The HE-STF and the subsequent data portion may be transmitted with a same power. A total power of active subcarriers of the HE-STF may be equal to or proportional to a second total of data subcarriers and pilot subcarriers of the subsequent data portion.

Wireless device, method, and computer readable media for signaling a short training field in a high-efficiency wireless local area network

Apparatus, computer readable medium, and method for generating and receiving signal fields in a high efficiency wireless local-area network (WLAN) are disclosed. A high-efficiency wireless local-area network (HEW) device including circuitry is disclosed. The circuitry may be configured to: receive a physical (PHY) header or media access control (MAC) header from a second HEW station, wherein the PHY header or MAC header comprises an indication of a spatial reuse opportunity and a defer duration; adjust one or more parameters to determine whether or not the wireless medium is in use; and determine whether to transmit within the spatial reuse opportunity based on the adjusted one or more parameters. The circuitry may be configured to adjust one or more parameters to determine whether or not the wireless medium is in use in where the parameters are signal detect (SD) threshold, a mid-packet detection (MPD) threshold, and an energy detection (ED) threshold.

Apparatus, computer readable medium, and method for spatial reuse in a high efficiency wireless local-area network

Growing community of inventors

Shanghai, China

RongZhen Yang