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首页> 外文会议>Workshop on communication networking techniques for contemporary video;IEEE Conference on Computer Communications Workshops;IEEE Global Internet Symposium;International workshop on security and privacy in big data;IEEE Infocom Poster Presentation Conference;IEEE Infocom Live/Video Demonstration Conference;IEEE INFOCOM Workshop on Mobile Cloud and Virtualization;INFOCOM Student Workshop;IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World;IEEE International Workshop on Multimedia Cloud Communication;nternational Workshop on Quality of Experience-Based Wireless Communications;IEEE International Workshop on Network Science for Communication Networks;International Workshop of Software-Defined Data Communications and Storage;IEEE Workshop on Smart Data Pricing;IEEE Workshop on Inter-Dependent Networks;International Workshop on Smart Cities and Urban Informatics >Resource allocation and data offloading for energy efficiency in wireless power transfer enabled collaborative mobile clouds
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Resource allocation and data offloading for energy efficiency in wireless power transfer enabled collaborative mobile clouds

机译：资源分配和数据分流以实现无线功率传输中的能源效率，从而实现了协作移动云

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The rapidly-increasing high data rate wireless networks and the fast-growing smartphone techniques are continually changing our daily behaviors and coloring our life. However, in order to fully experience the high rate broadband multimedia services, prolonging the battery life of user equipment is critical for the mobile users, especially for the smartphone users. In this work, the problem of offloading the cellular data via a collaborative mobile cloud in an energy efficient manner is investigated. The CMC is formed by a group of users interested in downloading the same content from the operator. Through Device-to-Device communications, the users inside CMC are able to cooperate during downloading procedure and offload data from Base Station for other CMC members. When considering wireless power transfer and MIMO wireless channel, an efficient algorithm is presented to address how to optimally schedule the data offloading and radio resources to obtain the energy efficiency as well as fairness among mobile users. Specifically, the proposed framework takes energy saving maximization, Quality of Service (QoS) requirement as well as user fairness into consideration. Performance evaluations demonstrate that significant energy saving gain can be achieved by the proposed data offloading scheme.
机译：快速增长的高数据速率无线网络和快速增长的智能手机技术正在不断改变我们的日常行为并为我们的生活增色。然而，为了充分体验高速率宽带多媒体服务，延长用户设备的电池寿命对于移动用户，特别是对于智能手机用户而言至关重要。在这项工作中，研究了以节能方式通过协作移动云卸载蜂窝数据的问题。 CMC由有兴趣从运营商下载相同内容的一组用户组成。通过设备到设备的通信，CMC内部的用户可以在下载过程中进行协作，并可以从基站卸载其他CMC成员的数据。在考虑无线电力传输和MIMO无线信道时，提出了一种有效的算法来解决如何优化调度数据卸载和无线电资源以获得移动用户之间的能效和公平性。具体而言，提出的框架考虑了节能最大化，服务质量（QoS）要求以及用户公平性。性能评估表明，通过提出的数据卸载方案可以实现显着的节能收益。

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