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..

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning

Abstract: Micro-videos have rapidly become one of the most dominant trends in the era of social media. Accordingly, how to organize them draws our attention. Distinct from the traditional long videos that would have multi-site scenes and tolerate the hysteresis, a micro-video: 1) usually records contents at one specific venue within a few seconds. The venues are structured hierarchically regarding their category granularity. This motivates us to organize the micro-videos via their venue structure. 2) timely circulates over social networks. Thus, the timeliness of micro-videos desires effective online processing. However, only 1.22% of micro-videos are labeled with venue information when uploaded at the mobile end. To address this problem, we present a framework to organize the micro-videos online. In particular, we first build a structure-guided multi-modal dictionary learning model to learn the concept-level micro-video representation by jointly considering their venue structure and modality relatedness. We then develop an online learning algorithm to incrementally and efficiently strengthen our model, as well as categorize the micro-videos into a tree structure. Extensive experiments on a real-world data set validate our model well. In addition, we have released the codes to facilitate the research in the community.

Mask Encoding for Single Shot Instance Segmentation

Abstract: To date, instance segmentation is dominated by two-stage methods, as pioneered by Mask R-CNN. In contrast, one-stage alternatives cannot compete with Mask R-CNN in mask AP, mainly due to the difficulty of compactly representing masks, making the design of one-stage methods very challenging. In this work, we propose a simple single-shot instance segmentation framework, termed mask encoding based instance segmentation (MEInst). Instead of predicting the two-dimensional mask directly, MEInst distills it into a compact and fixed-dimensional representation vector, which allows the instance segmentation task to be incorporated into one-stage bounding-box detectors and results in a simple yet efficient instance segmentation framework. The proposed one-stage MEInst achieves 36.4% in mask AP with single-model (ResNeXt-101-FPN backbone) and single-scale testing on the MS-COCO benchmark. We show that the much simpler and flexible one-stage instance segmentation method, can also achieve competitive performance. This framework can be easily adapted for other instance-level recognition tasks. Code is available at: git.io/AdelaiDet

Throughput and Optimal Threshold for FFR Schemes in OFDMA Cellular Networks

Abstract: Fractional frequency reuse (FFR) is an efficient way to mitigate inter-cell interference (ICI) in multi-cell orthogonal frequency division multiple access (OFDMA) networks In this paper, we investigate the throughput and the optimal threshold for the FFR scheme The average cell throughputs are derived for both round robin (RR) and maximum SINR (MSINR) scheduling strategies when users are uniformly distributed in the cell region It is shown from the analysis and simulation results that the throughput increases and the optimal distance threshold decreases with the number of users for both scheduling strategies The optimal distance threshold approaches the minimum distance that users can be away from the base station when the number of users goes to infinity The optimal distance threshold increases with the frequency reuse factor of the cell-edge region when the MSINR scheduling is used The impact of the RR scheduling strategy on the optimal threshold of the FFR scheme is negligible Simulation also demonstrates that the FFR scheme with the optimal threshold significantly outperforms that with the existing fixed threshold

Ethernet ring protection for carrier ethernet networks

Abstract: Ethernet technologies are rapidly gaining importance as a prevailing solution for carrier networks. Ethernet ring protection switching, defined in ITU-T Recommendation G.8032, provides a means of achieving carrier network requirements for ring network topologies. This article outlines the novel concepts in this Ethernet ring protection switching mechanism and discusses the fundamental operating principles by which the automatic protection switching (APS) protocol works. In addition, several feature enhancements in protection behavior and solutions being considered for the next phase of standardization are discussed.

Printed eight-element MIMO system for compact and thin 5G mobile handest

Abstract: A new printed MIMO system with eight elements for a 5G mobile terminal is investigated. The MIMO system consists of printed planar inverted-F antenna elements operating at GSM1900 (1880-1920 MHz), LTE2300 (2300-2400 MHz) and LTE2500 (2540-2620 MHz). The antenna elements have a compact size of 14 mm × 15 mm and are deployed on the non-metalised part of a PCB with dimensions 136 mm × 68.8 mm × 1 mm. By only utilising radiation pattern diversity, good isolations and envelope correlation coefficients for both MIMO systems are achieved. The mean effective gains of the antenna elements are also presented.