Huawei

About: Huawei is a company organization based out in Shenzhen, China. It is known for research contribution in the topics: Terminal (electronics) & Signal. 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..

Optimal Power Allocation for SCMA Downlink Systems Based on Maximum Capacity

Abstract: Sparse code multiple access (SCMA) is a novel type of non-orthogonal multiple access technology that combines the concepts of CDMA and OFDMA. The advantages of SCMA include high capacity, low time delay, and high date rate. In this paper, a power allocation algorithm is proposed for SCMA downlink systems where each tone is taken by more than one user to maximize the system’s sum capacity. In SCMA systems, users are divided into different user groups. Thus, our proposed algorithm includes three-level power allocation. Since the power allocation problem is non-convex, the complexity of finding the optimal solutions is prohibitive. The Lagrange dual decomposition method is employed to efficiently solve the non-convex optimization problem. Results show that the optimized algorithm can significantly improve the sum capacity.

Intercloud Directory and Exchange Protocol Detail Using XMPP and RDF

Abstract: Working groups have proposed building a layered set of protocols to solve the Cloud Computing interoperability challenge called “Intercloud Protocols”. Instead of each cloud provider establishing connectivity with another cloud provider in a Point-to-Point manner resulting in the n2 complexity problem, Intercloud Directories and Exchanges will act as mediators for enabling connectivity and collaboration among disparate cloud providers. Point to Point protocols such as HTTP are not suitable beyond 1-to-1 models, therefore the discussions around many-to-many mechanisms have been proposed, including XMPP. This paper details the use of an XMPP mechanism for such mediation. On top of that, for the federation of the resources themselves, we define a resources catalog approach, using the Semantic Web Resource Definition Framework (RDF) along with a common Ontology of Cloud Computing Resources to work across a variety of heterogeneous cloud providers.

A Compact and Low-Profile MIMO Antenna Using a Miniature Circular High-Impedance Surface for Wearable Applications

Abstract: A new miniature circular high-impedance surface (HIS) is used to design a compact and low-profile multi-in multi-out (MIMO) antenna for wearable applications. The antenna is designed to operate from 2.4 to 2.49 GHz for wireless local area network application. By employing a pair of degenerated characteristic modes of a circular loop antenna, the MIMO antenna can achieve a good port-to-port isolation (>15 dB) without increasing its geometric size. A four-element HIS is chosen to match the antenna profile, and a 2 dBi antenna gain improvement is observed. The design was optimized considering the effect of packaging and then a prototype with the optimal parameters was fabricated and tested. Measurement results are in good agreement with simulation results. Furthermore, the loading effect due to lossy human tissue is also considered and the results show that the antenna has a robust performance against the human phantom and a low specific absorption rate can also be obtained.

Resource Allocation for Network Slices in 5G with Network Resource Pricing

Abstract: End-to-end network slicing has been viewed as a key enabler for the next generation mobile network (5G), where a Slice Provider (SP) creates various network slices for Slice Customers (SCs) to accommodate diverse services. Due to resource isolation, effective resource allocation for coexisted multiple network slices, \textit{i.e.} network slice dimensioning, is essential to maximize network resource efficiency. From the perspective of operators, both SP and SC pursue a profit-earning business model. However, the relationship between resource efficiency and profit maximization is not clear so far. In this paper, we study network slice dimensioning with resource pricing policy, by exploring this relationship. We first develop an optimization framework for network slice dimensioning, in which the Slice Customer's Problem (SCP) maximizes the SC's profit and the Slice Provider's Problem (SPP) maximizes net social welfare (resource efficiency). We find that maximization of net social welfare and SP's profit are two consistent objectives when resources are scarce; otherwise, there is a tradeoff. Based on this finding, we propose a low-complexity distributed algorithm to achieve near-optimal net social welfare with profit guarantee for SP/SCs. Simulations and numerical results verify the effectiveness of our proposed slice dimensioning strategy, which can help fully exploiting the capability of network slicing.

System and methods for network slice reselection

Abstract: There is provided method for managing network resources by switching the slice used to support a user equipment (UE), in a process referred to as slice handover or slice switching. There are several reasons why a slice handover may be implemented, include movement of the UE and network load balancing. Further the UE can be switched to a new slice operated by the same service provider (intra-operator handover) or a different service provider (inter-operator handover).