Institution
China Mobile
Company•Beijing, China•
About: China Mobile is a company organization based out in Beijing, China. It is known for research contribution in the topics: Terminal (electronics) & Base station. The organization has 2069 authors who have published 1621 publications receiving 11702 citations. The organization is also known as: CMCC.
Papers published on a yearly basis
Papers
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TL;DR: A comprehensive survey of mmWave communications for future mobile networks (5G and beyond) is presented, including an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity.
Abstract: Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to the rates of multiple gigabit per second per user Though mmWave can be readily used in stationary scenarios, such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond) We first summarize the recent channel measurement campaigns and modeling results Then, we discuss in detail recent progresses in multiple input multiple output transceiver design for mmWave communications After that, we provide an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed
887 citations
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TL;DR: A theoretical framework of energy-optimal mobile cloud computing under stochastic wireless channel is provided, and numerical results suggest that a significant amount of energy can be saved for the mobile device by optimally offloading mobile applications to the cloud in some cases.
Abstract: This paper provides a theoretical framework of energy-optimal mobile cloud computing under stochastic wireless channel. Our objective is to conserve energy for the mobile device, by optimally executing mobile applications in the mobile device (i.e., mobile execution) or offloading to the cloud (i.e., cloud execution). One can, in the former case sequentially reconfigure the CPU frequency; or in the latter case dynamically vary the data transmission rate to the cloud, in response to the stochastic channel condition. We formulate both scheduling problems as constrained optimization problems, and obtain closed-form solutions for optimal scheduling policies. Furthermore, for the energy-optimal execution strategy of applications with small output data (e.g., CloudAV), we derive a threshold policy, which states that the data consumption rate, defined as the ratio between the data size (L) and the delay constraint (T), is compared to a threshold which depends on both the energy consumption model and the wireless channel model. Finally, numerical results suggest that a significant amount of energy can be saved for the mobile device by optimally offloading mobile applications to the cloud in some cases. Our theoretical framework and numerical investigations will shed lights on system implementation of mobile cloud computing under stochastic wireless channel.
754 citations
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25 Mar 2012
TL;DR: Numerical results illustrate that a significant amount of energy can be saved by optimally offloading the mobile application to the cloud clone, and the energy-optimal execution policy is obtained.
Abstract: In this paper, we propose to leverage cloud computing to tame resource-poor mobile devices. Specifically, mobile applications can be executed in the mobile device (known as mobile execution) or offloaded to the cloud clone for execution (known as cloud execution), with an objective to conserve energy for mobile device. The energy-optimal execution policy is obtained by solving two constrained optimization problems, i.e., how to optimally configure the clock frequency to complete CPU cycles for mobile execution, and how to optimally schedule the data transmission for cloud execution in order to achieve the minimal energy within time delay. Closed-form solutions are obtained for both cases and applied to decide the optimal condition under whether the local execution or the remote execution is more energy-efficient for the mobile device. Moreover, numerical results illustrate that a significant amount of energy (e.g., up to 13 times for a typical mobile application profile) can be saved by optimally offloading the mobile application to the cloud clone.
351 citations
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TL;DR: In this paper, the authors examined whether participative leadership behavior is associated with improved work performance through a motivational process or an exchange-based process based on data collected from 527 employees from a Fortune 500 company.
Abstract: We examined whether participative leadership behavior is associated with improved work performance through a motivational process or an exchange-based process Based on data collected from 527 employees from a Fortune 500 company, we found that the link between superiors' participative leadership behaviors and subordinates' task performance and organizational citizenship behavior toward organizations (OCBO) was mediated by psychological empowerment (motivational mediator) for managerial subordinates Yet, for non-managerial subordinates such as supporting and front-line employees, the impact of participative leadership on task performance and OCBO was mediated by trust-in-supervisor (exchange-based mediator) Implications for theories and practices are discussed Copyright © 2009 John Wiley & Sons, Ltd
350 citations
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TL;DR: This study targeted "the composition of substances" segment of junior high school chemistry classes and involved the design and development of a set of inquiry-based Augmented Reality learning tools, concluding that the AR tool has a significant supplemental learning effect as a computer-assisted learning tool.
333 citations
Authors
Showing all 2123 results
Name | H-index | Papers | Citations |
---|---|---|---|
Xin Liu | 69 | 885 | 19231 |
Chih-Lin I | 54 | 206 | 14480 |
Haiyun Luo | 53 | 172 | 14627 |
Yifei Yuan | 49 | 277 | 9760 |
Keqiang Li | 43 | 283 | 6443 |
Lei Lei | 27 | 107 | 3715 |
Xu Chen | 26 | 97 | 2264 |
Zhigang Chen | 25 | 156 | 2220 |
Zhigang Xu | 20 | 85 | 2320 |
Paul Schliwa-Bertling | 20 | 237 | 1605 |
Lihua Wang | 20 | 73 | 1143 |
Zeliang Chen | 19 | 74 | 1123 |
Peng Gao | 19 | 60 | 1167 |
Beiji Zou | 18 | 104 | 1083 |
Jia Wu | 18 | 84 | 853 |