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A Low-Complexity Approximate Power Allocation in Ultra-Dense Network

  • Bei LiuEmail author
  • Jie Zeng
  • Xin Su
  • Xibin Xu
  • Limin Xiao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 445)

Abstract

This paper considers the power allocation to maximize the sum-rate of the users when the total allocated power is limited in the ultra-dense network (UDN). In the paper, we first regard the interference caused by the specified base station (BS) to the other mobile station (MS) as a constant, and obtain the expression of the allocated power of each BS. However, it is not a closed-form solution, we apply the classic water-filling algorithm to get the optimum power allocation by some times of iterations. Finally, the simulation results show that the power allocation scheme can greatly improve the sum-rate of the users compared to the average power allocation.

Keywords

Ultra-dense network Water filling algorithm Sum-rate maximization 

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References

  1. 1.
    Bhushan, N., Junyi Li, Malladi, D., Gilmore, R., Brenner, D., Damnjanovic, A., Sukhavasi, R., Patel, C., Gerihofer, S.: Network densification: the dominant theme for wireless evolution into 5G. In: Communications Magazine, IEEE., 52, 82--89 ( 2014)Google Scholar
  2. 2.
    X.Gelabert, P. Legg, and C. Qvarfordt: Small Cell Densification Requirements in High Capacity Future Cellular Netwoks. In: Communications Workshops (ICC), 2013 IEEE International Conference on, 1112--1116, Budapest(2013)Google Scholar
  3. 3.
    Qi Ren, Jiancun Fan, Xinmin Luo, Zhikun Xu, and Yami Chen: Analysis of Spectral and Energy Efficiency in Ultra-Dense Network. In: Communication Workshop (ICCW), 2015 IEEE International Conference on,2812--2817, London (2015)Google Scholar
  4. 4.
    L. Qian, G. Wu, and Q. Hu: Analytical Study on Network Spectrum Efficiency of Ultra Dense Networks. In: Personal Indoor and Mobile Radio Communications, IEEE International Symposium,2764–2768, London(2013)Google Scholar
  5. 5.
    A. G. Gotsis, S. Stefanatos, A. Alexiou: Spatial Coordination Strategies in Future Ultra-Dense Wireless Networks. In: Wireless Communications Systems (ISWCS), 2014 11th International Symposium on, 801–807, Barcelona (2014)Google Scholar
  6. 6.
    H. Claussen, I. Ashraf, L. T. W. Ho: Dynamic idle mode procedures for femtocells. In: Bell Labs Tech. J., 15, 95--116, (2010)Google Scholar
  7. 7.
    Koudourdis, G. P.: On the Capacity and Energy Efficiency of Network Scheduling in Future Ultra-Dense Networks.In: Computers and Communicatin (ISCC), IEEE Symposium on,1–6,Funchal (2014)Google Scholar
  8. 8.
    Jang J, Lee K B, and Lee Y H: Transmit power and bit allocations for OFDM systems in a fading channel. In:Global Telecommunications Conference, 2003. GLOBECOM ‘03. IEEE, 3, 858–862, (2003)Google Scholar
  9. 9.
    Shannon: A Mathematical Theory of Communication. In: The Bell System Technical journal, 27,623–656,(1948)Google Scholar
  10. 10.
    Jihwan Kim, Hyang-Won Lee, and Song Chong: Virtual Cell Beamforming in Cooperative Networks.In: IEEE Journal on Selected Areas in Communications. 32, 1126–1138, Jun (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Bei Liu
    • 1
    Email author
  • Jie Zeng
    • 2
  • Xin Su
    • 2
  • Xibin Xu
    • 2
  • Limin Xiao
    • 2
  1. 1.Broadband Wireless Access LaboratoryChongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Tsinghua National Laboratory for Information Science and Technology Research Institute of Information TechnologyTsinghua UniversityBeijingChina

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