期刊文献+

虚拟实时服务:构架、算法及演进路径

Virtural Realtime Services: Infrastructure,Algorithms and Evolution Path
下载PDF
导出
摘要 提出了一种基于虚拟实时服务的协议构架,可有效发掘用户提出通信请求之前的"负时间轴"上的空闲时频资源或可再生能源,将用户可能感兴趣的内容以多播的方式预先推送到终端的存储器中,从而以非实时的通信提供虚拟实时服务,在确保服务质量的前提下大幅度提升频谱和能量效率。对终端缓存内容的选择算法进行了标准化,从而允许基站在本地预测用户已缓存的内容,并判断当前是否应发起推送和推送哪条内容;提出了虚拟实时服务涉及的若干关键算法,也给出了虚拟实时服务的演进途径及主要开放问题,旨在为相关新兴产业的技术发展提供参考。 A virtual real-time service infrastructure for future wireless access, which is capable of efficiently using the idle timeslots or renewable energy distributed in the "negative time-axis" before users' transmission requests was proposed. By using these idle timeslots, the information content in which users might be interested can be pushed to the end devices' buffers in a multicasting manner before a user requests the content. The end devices ' algorithm which determines which content should be buffered was standardized. Hence, the base-station may locally predict what have been buffered in the users' devices, and determine whether it should push and which content to transmit.Meanwhile, a number of key algorithms for virtual real-time service were proposed and analyzed, an evolution path toward virtual real-time service along with its major problems was also presented. Chen 's program was proposed to guide the development of the virtual real-time service related emerging industry and technologies.
作者 陈巍
出处 《电信科学》 北大核心 2015年第5期71-81,共11页 Telecommunications Science
基金 "密集立体覆盖移动通信的基础理论与方法"国家重点基础研究发展计划"973"计划青年科学家专题基金资助项目(No.2013CB336600) 国家自然科学基金优秀青年科学基金资助项目(No.61322111)~~
关键词 虚拟实时服务 多元协同通信 透明多播推送 认知频谱共享 能量收割 频谱效率 能量效率 virtual real-time service, multi-unit collaborative communication, transparent muhicast push, cognitive spectrum reuse, energy harvesting, spectral efficiency, energy efficiency
  • 相关文献

参考文献27

  • 1Andrews J G,Buzzi S,Choi W,et al.What will 5G be.IEEE Journal on Selected Areas in Communications,2014,32(6):1065-1082.
  • 2Hanzo L,Haas H,Imre S,et al.Wireless myths,realities,and futures:from 3G/4G to optical and quantum wireless.Proceedings of the IEEE Special Centennial Issue,2012:1853-1888.
  • 3Kedar D,Arnon S.Urban optical wireless communication networks:the main challenges and possible solutions.Communications Magazine,2004,42(5):S2-S7.
  • 4Richardson T J,Shokrollahi M A,Urbanke R L.Design of capacity-approaching irregular low-density parity-check codes.IEEE Transactions on Information Theory,2001,47(2):619 -637.
  • 5Cimini L J.Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing.IEEE Transactions on Communications,1985,33(7):665-675.
  • 6Liu J,Chen W,Zhang Y J,et al.A utility maximization framework for fair and efficient multicasting in multicarrier wireless cellular networks.IEEE/ACM Transactions on Networking,2013,21(1):110-120.
  • 7Foschini G J.Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas.Bell Labs Technical Journal,1996,1(2):41-59.
  • 8Foschini G J,Gans M J.On limits of wireless communications in a fading environment when using multiple antennas.Wireless Personal Communications,1998,6(3):311-335.
  • 9Gutierrez F,Agarwal S,Parrish K,et al.On-chip integrated antenna structures in CMOS for 60 GHz WPAN systems.IEEE Journal on Selected Areas in Communications,2009,27(8):1367-1378.
  • 10Rappaport T S,Sun S,Mayzus R,et al.Millimeter wave mobile communications for 5G cellular:It will work.Access IEEE,2013(1):335-349.

二级参考文献18

  • 1Tse D, Viswanath P. Fundamentals of Wireless Communication. Cambridge University Press, 2005.
  • 2Haykin S. Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
  • 3Zhou S, Gong J, Ymag Z, et ol. Green mobile access network with dynamic base station energy saving. ACM MobiCom, 2009, 9(262): 10-12.
  • 4Gupta P, Kumar P R. The capacity of wireless networks. IEEE Transactions on Information Theory, 2000, 46(2): 388-404.
  • 5Andrews J, Shakkottai S, Heath R, et al. Rethinking information theory for mobile Ad Hoc networks. Communications Magazine, IEEE, 2008, 46(12): 94-101.
  • 6Franceschetti M, Migliore M D, Minero P. The capacity of wireless networks: information-theoretic and physical limits. IEEE Transactions on Information Theory, 2009, 55(8): 3413- 3424.
  • 7Gupta P, Kumar P R. Internets in the sky: capacity of 3D wireless networks. Proceedings of the 39th IEEE Conference on Decision and Control, IEEE, 2000(3): 2290-2295.
  • 8Li P, Pan M, Fang Y. The capacity of three-dimensional wireless Ad Hoe networks. INFOCOM, Shanghai, China, 2011: 1485- 1493.
  • 9Peng M, Liang D, Wei Y, et O1. Self-configuration and self-optimization in LTE-Advanced heterogeneous networks. IEEE Communications Magazine, 2013, 51(5): 36-45.
  • 10Goldsmith A J, Varaiya P P. Capacity of fading channels with channel side information. IEEE Transactions on Information Theory, 1997, 43(6): 1986-1992.

共引文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部