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..

Forensic-by-Design Framework for Cyber-Physical Cloud Systems

Abstract: As businesses continue to offer customers and employees increased access, improved software functionality, and continued improvements in supply chain management opportunities, it raises the risk of cyber-physical attacks on cyber-physical cloud systems (CPCS). In this article, the authors discuss the challenges associated with a CPCS attack and highlight the need for forensic-by-design, prior to presenting their conceptual CPCS forensic-by-design model. The six factors of the framework are discussed, namely, risk management principles and practices, forensic readiness principles and practices, incident handling principles and practices, laws and regulation, CPCS hardware and software requirements, and industry-specific requirements. Future research topics are also identified.

Joint Radio and Computational Resource Allocation in IoT Fog Computing

Abstract: The current cloud-based Internet-of-Things (IoT) model has revealed great potential in offering storage and computing services to the IoT users. Fog computing, as an emerging paradigm to complement the cloud computing platform, has been proposed to extend the IoT role to the edge of the network. With fog computing, service providers can exchange the control signals with the users for specific task requirements, and offload users’ delay-sensitive tasks directly to the widely distributed fog nodes at the network edge, and thus improving user experience. So far, most existing works have focused on either the radio or computational resource allocation in the fog computing. In this work, we investigate a joint radio and computational resource allocation problem to optimize the system performance and improve user satisfaction. Important factors, such as service delay, link quality, mandatory benefit, and so on, are taken into consideration. Instead of the conventional centralized optimization, we propose to use a matching game framework, in particular, student project allocation (SPA) game, to provide a distributed solution for the formulated joint resource allocation problem. The efficient SPA-(S,P) algorithm is implemented to find a stable result for the SPA problem. In addition, the instability caused by the external effect, i.e., the interindependence between matching players, is removed by the proposed user-oriented cooperation (UOC) strategy. The system performance is also further improved by adopting the UOC strategy.

Wireless terminal antenna

Abstract: A wireless terminal antenna is disclosed. The antenna includes a pull rod, a pull rod pedestal located at the base of the pull rod, and a spiral coil. One end of the spiral coil is electrically connected with the pull rod pedestal. The pull rod is axially retractable along the pull rod pedestal until it is retracted into the space enclosed by the spiral coil. At idle time, the pull rod is nested inside the spiral coil so that it is short and portable. When receiving signals normally, the pull rod can be pulled out. The antenna is miniaturized, portable, and provides good performance.

Intrachannel Nonlinearity Compensation by Inverse Volterra Series Transfer Function

Abstract: The Volterra series transfer function (VSTF), in which the input-output relationship of a nonlinear system is represented by a series of nonlinear kernel functions, is an elegant tool to model nonlinear systems. The inverse of a nonlinear system can be constructed by analyzing VSTF. We propose a new electronic nonlinearity compensation scheme based on inverse VSTF. We show 1 dB improvement in Q-factor with a 256 Gb/s polarization-division-multiplexed 16-level quadratic amplitude modulation format, and 50% reduction in complexity by lowering the processing rate.

IEEE 802.11ay-Based mmWave WLANs: Design Challenges and Solutions

Abstract: Millimeter-wave (mmWave) with large spectrum available is considered as the most promising frequency band for future wireless communications. The IEEE 802.11ad and IEEE 802.11ay operating on 60 GHz mmWave are the two most expected wireless local area network (WLAN) technologies for ultra-high-speed communications. For the IEEE 802.11ay standard still under development, there are plenty of proposals from companies and researchers who are involved with the IEEE 802.11ay task group. In this survey, we conduct a comprehensive review on the medium access control layer (MAC) related issues for the IEEE 802.11ay, some cross-layer between physical layer and MAC technologies are also included. We start with MAC related technologies in the IEEE 802.11ad and discuss design challenges on mmWave communications, leading to some MAC related technologies for the IEEE 802.11ay. We then elaborate on important design issues for IEEE 802.11ay. Specifically, we review the channel bonding and aggregation for the IEEE 802.11ay, and point out the major differences between the two technologies. Then, we describe channel access and channel allocation in the IEEE 802.11ay, including spatial sharing and interference mitigation technologies. After that, we present an in-depth survey on beamforming training, beam tracking, single-user multiple-input-multiple-output beamforming, and multi-user multiple-input-multiple-output beamforming. Finally, we discuss some open design issues and future research directions for mmWave WLANs. We hope that this paper provides a good introduction to this exciting research area for future wireless systems.