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China Mobile Research Institute

About: China Mobile Research Institute is a based out in . It is known for research contribution in the topics: MIMO & Wireless network. The organization has 579 authors who have published 542 publications receiving 13897 citations.


Papers
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Proceedings ArticleDOI
21 Mar 2010
TL;DR: A novel information-diffusion-based routing (IDBR) scheme in wavelength routed WDM mesh networks has the fast convergence and the low bandwidth consumption of OSPF-TE while requires lower computational complexity as RIP.
Abstract: We propose a novel information-diffusion-based routing (IDBR) scheme in wavelength routed WDM mesh networks. The IDBR scheme has the fast convergence and the low bandwidth consumption of OSPF-TE while requires lower computational complexity as RIP.

4 citations

Proceedings ArticleDOI
20 Nov 2014
TL;DR: This paper proposes to use copula functions for specifying and calibrating a tractable dependence structure for link travel times, indicating that travel time data tend to have a quasi-tail dependence structure, which is inconsistent with those embedded in commonly used copulas.
Abstract: Statistical distributions of link and path travel times are important inputs to reliability-sensitive transportation models. This paper proposes to use copula functions for specifying and calibrating a tractable dependence structure for link travel times. Our empirical study indicates that travel time data tend to have a quasi-tail dependence structure, which is inconsistent with those embedded in commonly used copulas. This means that comparing with traditional fields using copula function, such as financial, traffic data demonstrate special features. A new copula function needs to be proposed to model this newly discovered feature.

4 citations

Journal ArticleDOI
TL;DR: This article proposes a novel web-element-based exposure approach for telecom network services that encapsulates lowlevel APIs in a series of customised independent web elements, which can be directly embedded in the web page by the Customization-Copy-Paste feature.
Abstract: Service creation by ordinary users without technical know-how has become increasingly popular in the Web 2.0 era. There is a growing need for ordinary Web 2.0 users to embed telecom services into their existing web applications such as blog, wiki, or online shops’ homepages without conventional programming. However, the current open APIs, SDK, and graphical service creation environment technologies are mainly aimed at experienced developers with professional technical knowledge, rather than ordinary Web 2.0 users. To facilitate the latter’s use of telecom network services in their web applications, this article proposes a novel web-element-based exposure approach for such services. It encapsulates lowlevel APIs in a series of customised independent web elements, which can be directly embedded in the web page by the Customization-Copy-Paste feature. The flexible invocation of telecom services by ordinary Web 2.0 users will greatly promote web-based telecommunication applications.

4 citations

Journal ArticleDOI
TL;DR: This paper proposes a human intelligence (HI)-guided artificial intelligence (AI)-enhanced signature/constellation design method and demonstrates that in terms of bit error rate, the proposed scheme can achieve significant performance gain over the conventional NOMA schemes.
Abstract: Grant-free Non-orthogonal Multiple Access (GF-NOMA) is a promising technology for massive access users and sporadic small-packet transmission for Beyond the 5th Generation mobile communication system(B5G) / the 6th Generation mobile communication system (6G). One of the key aspects in GF-NOMA system is the signature/constellation design. However, due to the channel variation and random activation of users, conventional optimization approaches seem unsuitable for such complex models. In this paper, as an initial attempt, we propose a human intelligence (HI)-guided artificial intelligence (AI)-enhanced signature/constellation design method. By separate design of modulation and power allocation inspired by prior knowledge, the proposed deep neuron network (DNN) for NOMA signature/constellation design not only has smaller size of DNN and less training data, but also has stronger interpret-ability. In the last section, via simulations we demonstrate that in terms of bit error rate, the proposed scheme can achieve significant performance gain over the conventional NOMA schemes.

4 citations

Proceedings ArticleDOI
25 Nov 2013
TL;DR: The TD-LTE network downlink performance of indoor is studied with various network deployment options, including outdoor Macro cell, outdoor Micro cell, indoor distributed antenna system (DAS), indoor Femto cell, and their combinations in a realistic large-scale dense urban scenario.
Abstract: In the wireless broadband network, most traffic are generated from indoor users. Meanwhile the indoor coverage is identified as the major bottleneck especially in dense urban environment with high-rising buildings. In this paper, the TD-LTE network downlink performance of indoor is studied with various network deployment options, including outdoor Macro cell, outdoor Micro cell, indoor distributed antenna system (DAS), indoor Femto cell, and their combinations in a realistic large-scale dense urban scenario. Since a DAS cell consists of several or even tens of access points (AP), the computation load is too high to be accepted when calculating the received signal power and the interference power by traditional widely-used methodology. Thus a new DAS model is proposed to decrease the computation complexity to a reasonable level in the simulation. To have more accurate channel modeling, the real three-dimensional (3D) city map of the investigated area is employed. A 3D ray-tracing tool is used to estimate the large scale propagation occurring between outdoor sites and buildings. The traffic offloading features of Micro, DAS, and Femto cell are evaluated through system simulations.

4 citations


Authors

Showing all 579 results

NameH-indexPapersCitations
Chih-Lin I5420614480
Yifei Yuan492779760
Shuangfeng Han29557360
Lei Lei271073715
Corbett Rowell22634661
Zhikun Xu19433213
Zhengang Pan16441886
Qi Sun13192346
Zhen Cao1029332
Dawei Ge953254
Xueying Hou818274
Xuefei Cao815542
Yang Li818538
Jian Qiu712208
Yami Chen721255
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202172
202083
201956
201841
201729