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Application Scenarios and Enabling Technologies of 5G 被引量:13

Application Scenarios and Enabling Technologies of 5G
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摘要 Fast growth of mobile internet and internet-of-things has propelled the concept formation and research on 5G wireless communications systems which are to be standardized around 2020(IMT-2020).There will be diverse application scenarios expected for 5G networks.Hence,key performance indicators(KPIs) of 5G systems would be very diverse,not just the peak data rate and average/edge spectral efficiency requirements as in previous generations.For each typical scenario,multiple technologies may be used independently or jointly to improve the transmission efficiency,to lower the cost,and to increase the number of connections,etc.Key enabling technologies are discussed which include massive MIMO,ultradense deployment specific techniques,nonorthogonal transmission,high frequency communications,etc. Fast growth of mobile internet and internet-of-things has propelled the concept formation and research on 5G wireless communications systems which are to be standardized around 2020 (IMT-2020). There will be diverse application scenarios expected for 5G networks. Hence, key performance indicators (KPIs) of 5G systems would be very diverse, not just the peak data rate and average/edge spectral efficiency requirements as in previous generations. For each typical scenario, multiple technologies may be used independently or jointly to improve the transmission efficiency, to lower the cost, and to increase the number of connections, etc. Key enabling technologies are discussed which include massive MIMO, ultradense deployment specific techniques, nonorthogonal transmission, high frequency communications, etc.
出处 《China Communications》 SCIE CSCD 2014年第11期69-79,共11页 中国通信(英文版)
关键词 使能技术 应用 场景 无线通信系统 移动互联网 传输效率 概念形成 性能指标 5G, IMT-2020, ultra-dense networks, massive MIMO, non-orthogonal transmission
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参考文献4

  • 1[TU, "IMT for 2020 and beyond", http://www. itu.int/en/lTU-R/study-groups/rsg5/rwp5d/imt- 2020.
  • 2T. L. Marzetta, "Noncooperative cellular wireless with unlimited number of base station antennas," IEEE Trans. on Wireless Comm., Vol. 9, No. 11, November 2010, pp 3590-3600.
  • 3N. Bhushan, J. Li, D. Malladi, R. Gilmore, D. Brenner, A. Damnjanovic, R. T. Sukhavasi, C. Patel, and S. Geirhofer, "Network densification: the dominant theme for wireless evolution in 5G," IEEE Comm. Mag., February 2014, pp 82-89.
  • 4H. Jin, K. Peng, J. Song, "Bit division multiplexing for broadcasting," IEEE Trans. on Broadcasting, Vol. 59, No. 3, September 2013, pp 539-547.

同被引文献48

  • 1TSE D,VISWANATH P.Fundamentals of wireless communication[M].Cambridge University Press,2005.
  • 2IMT-2020(5G)Promotion Group.5G vision and demand[R].2014,5.
  • 3NIKOPOUR H,BALIGH H.Sparse code multiple access[C].IEEE International Symposium on PIMRC,2013:332-336.
  • 4Wang Bichai,Wang Kun,Lu Zhaohua,et al.Comparison study of non-orthogonal multiple access schemes for 5G[C].IEEE International Symposium on Broadband Multimedia Systems and Broadcasting,2015:1-5.
  • 5MANATSAVEE B,AHMED H,FERNANDO A.Performance of PIC,SIC and de-correlating detectors for MUD technique in WCDMA system[C].IEEE ICICS-PCM,2003:892-896.
  • 6COPPERSMITH D,WINOGRAD S.Matrix multiplication via arithmetic progressions[J].Journal of Symbolic Computation,1990,9(3):251-280.
  • 7凌聪,孙松庚.混沌扩频序列产生器[J].电子科学学刊,1998,20(2):235-240. 被引量:25
  • 8童晓渝,张云勇,戴元顺.公众计算通信网架构及关键技术[J].通信学报,2010,31(8):134-140. 被引量:38
  • 9朱洪波,杨龙祥,于全.物联网的技术思想与应用策略研究[J].通信学报,2010,31(11):2-9. 被引量:261
  • 10罗冬梅,何世彪,谷诚.一种新的混沌扩频序列优选算法[J].计算机工程,2010,36(24):99-101. 被引量:5

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