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..

Systems and methods for network slice management

Abstract: A method of generating a network slice is provided. The method comprises a network slice orchestrator (NWSO) receiving from a network slice manager (NWSM) a request for a new network slice, the NWSO adding a new service to the new network slice, the NWSO determining a network slice descriptor (NWSD) for the new network slice, the NWSO transmitting to a resource orchestrator (RO) a request for an instantiation of the network slice using enhanced network function virtualization management and orchestration (E-MANO). A method of modifying a network slice is also provided. The method comprises a NWSO receiving from a NWSM a request to add a new service to a network slice, the NWSO adding a new service to the network slice, the NWSO determining a NWSD for the network slice with the added service, and the NWSO transmitting to a RO a request for an instantiation of the added service on the network slice using E-MANO. A method of terminating a network slice is also provided. The method comprises a NWSO receiving from a NWSM a request to terminate a network slice, the NWSO determining the subnetworks to terminate, and the NWSO transmitting to a RO a request for a termination of the slice specific network functions (NFs).

Tensor-Based Modulation for Unsourced Massive Random Access

Abstract: We introduce a modulation for unsourced massive random access whereby the transmitted symbols are rank-1 tensors constructed from Grassmannian sub-constellations. The use of a low-rank tensor structure, together with tensor decomposition in order to separate the users at the receiver, allows a convenient uncoupling between multi-user separation and single-user demapping. The proposed signaling scheme is designed for the block fading channel and multiple-antenna settings, and is shown to perform well in comparison to state-of-the-art approaches.

Decomposable Neural Paraphrase Generation

Abstract: Paraphrasing exists at different granularity levels, such as lexical level, phrasal level and sentential level. This paper presents Decomposable Neural Paraphrase Generator (DNPG), a Transformer-based model that can learn and generate paraphrases of a sentence at different levels of granularity in a disentangled way. Specifically, the model is composed of multiple encoders and decoders with different structures, each of which corresponds to a specific granularity. The empirical study shows that the decomposition mechanism of DNPG makes paraphrase generation more interpretable and controllable. Based on DNPG, we further develop an unsupervised domain adaptation method for paraphrase generation. Experimental results show that the proposed model achieves competitive in-domain performance compared to state-of-the-art neural models, and significantly better performance when adapting to a new domain.

Stability Analysis of a Novel Distributed Secondary Control Considering Communication Delay in DC Microgrids

Abstract: With the wide application of distributed dc microgrids and the increasing of dc loads, the distributed control method has become a research hotspot. However, the distributed control method based on distributed communication network usually involves communication delay, which may lead to the failure of the controller in the practical application and even affect the stability of the system. This paper introduces a novel distributed secondary control algorithm without droop control, which can be used to realize voltage recovery and load sharing simultaneously. Based on this, two stability criteria under different conditions are derived for the dc microgrid system considering communication time delay, which are delay-dependent stability criterion under constant delay and time-varying delay-dependent stability criterion by using linear matrix inequality (LMI). These stability criteria are helpful to guide the selection of control parameters. Simulation results verify the effectiveness and feasibility of the proposed control strategy, and show the correctness of the delay-independent stability criterion and delay-dependent stability criterion.

Analysis of the Synchronization Requirements of 5g and Corresponding Solutions

Abstract: This article discusses the synchronization requirements and challenges from 5G in terms of the new technologies, new services, and the new architecture. Time synchronization via transport networks will be essential. ±130ns is proposed as the new goal of network limits for 5G. Higher precision requirements can be achieved through the same network cluster in a relatively limited area. A new time reference model is suggested, and in particular, the budget of the fronthaul is presented for C-RAN. Corresponding solutions for enhancing time accuracy are presented. New technologies of the time source and the time transport need to be introduced. SDOs need closer cooperation to define the specification of time synchronization for 5G.