Huawei

About: Huawei is a company organization based out in Shenzhen, China. It is known for research contribution in the topics: Terminal (electronics) & Node (networking). The organization has 41417 authors who have published 44698 publications receiving 343496 citations. The organization is also known as: Huawei Technologies & Huawei Technologies Co., Ltd..

IEEE 802.11be Wi-Fi 7: New Challenges and Opportunities

Abstract: With the emergence of 4k/8k video, the throughput requirement of video delivery will keep grow to tens of Gbps. Other new high-throughput and low-latency video applications including augmented reality (AR), virtual reality (VR), and online gaming, are also proliferating. Due to the related stringent requirements, supporting these applications over wireless local area network (WLAN) is far beyond the capabilities of the new WLAN standard – IEEE 802.11ax. To meet these emerging demands, the IEEE 802.11 will release a new amendment standard IEEE 802.11be – Extremely High Throughput (EHT), also known as Wireless-Fidelity (Wi-Fi) 7. This article provides the comprehensive survey on the key medium access control (MAC) layer techniques and physical layer (PHY) techniques being discussed in the EHT task group, including the channelization and tone plan, multiple resource units (multi-RU) support, 4096 quadrature amplitude modulation (4096-QAM), preamble designs, multiple link operations (e.g., multi-link aggregation and channel access), multiple input multiple output (MIMO) enhancement, multiple access point (multi-AP) coordination (e.g., multi-AP joint transmission), enhanced link adaptation and retransmission protocols (e.g., hybrid automatic repeat request (HARQ)). This survey covers both the critical technologies being discussed in EHT standard and the related latest progresses from worldwide research. Besides, the potential developments beyond EHT are discussed to provide some possible future research directions for WLAN.

Audio rendering system

Abstract: The invention relates to an audio rendering system(100) for audio rendering room acoustics, comprising: a plurality of loudspeakers (101); a mobile device (105) comprising at least two microphones (107), the mobile device (105) being located at a room position of a user (109) using the mobile device (105); and a control device (103) coupled to the plurality of loudspeakers (101) and coupled to the mobile device (105), wherein the control device (103) is configured to calibrate the audio rendering system (100) based on the room position of the user (109) and on room positions of the loudspeakers(101) by evaluating information of the at least two microphones (107) of the mobile device (105).

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

Abstract: Deterministic down-sampling of an unordered point cloud in a deep neural network has not been rigorously studied so far. Existing methods down-sample the points regardless of their importance for the network output and often address down-sampling the raw point cloud before processing. As a result, some important points in the point cloud may be removed, while less valuable points may be passed to next layers. In contrast, the proposed adaptive down-sampling method samples the points by taking into account the importance of each point, which varies according to application, task and training data. In this paper, we propose a novel deterministic, adaptive, permutation-invariant down-sampling layer, called Critical Points Layer (CPL), which learns to reduce the number of points in an unordered point cloud while retaining the important (critical) ones. Unlike most graph-based point cloud down-sampling methods that use k-NN to find the neighboring points, CPL is a global down-sampling method, rendering it computationally very efficient. The proposed layer can be used along with a graph-based point cloud convolution layer to form a convolutional neural network, dubbed CP-Net in this paper. We introduce a CP-Net for 3D object classification that achieves high accuracy for the ModelNet 40 dataset among point cloud-based methods, which validates the effectiveness of the CPL.

Apparatus and method for reducing self-interference in a radio system

Abstract: Full duplex radio wireless systems and methods and especially transceivers for full duplex radio wireless systems with reduction of self-interference are described. MIMO (=multiple input multiple output several antennas for output and input) is used within one device with multiple antennas to remove self-interference in a proactive way. For example, a transceiver is described having self-interference suppression, comprising, within one transceiver device: two or more transmitters comprising one or more signal generators for transmitting transmit signals having transmit center frequencies in a selected first subchannel; and one or more receivers having receiver inputs for simultaneously receiving a desired receive signal in a second subchannel and an undesired accumulated interference signal due to said transmitted signals; and at least one of said transmitters also comprising a precompensation circuit that modifies the transmit signals such that said accumulated interference signal at the receiver(s) inputs is reduced.

Towards software defined ICN based edge-cloud services

Abstract: ICN deployment will be based on the grounds of saving CAPEX/OPEX and/or enabling new services. This paper makes a case for the latter leveraging, emerging technologies such as network function virtualization (NFV) and software defined networking (SDN). We propose a framework to enable ICN based service platform as virtualized network functions to enable several edge-cloud services such as enterprise applications, big data analytic, or M2M/IoT services. This platform is generic to support several ICN protocols and corresponding real-time and non-real time services leveraging ICN features such as name based routing, caching, multicasting, and flexible security techniques. As an implementation of this architecture, we discuss how a scalable network based conferencing solution can be realized over the proposed ICN platform and compare it with a peer-to-peer design through a performance analysis.