The Journal of China Universities of Posts and Telecommunications ›› 2019, Vol. 26 ›› Issue (2): 67-81.doi: 10.19682/j.cnki.1005-8885.2019.1008

• Wireless • Previous Articles     Next Articles

Downlink energy efficiency modeling and optimization with backhaul awareness and interference price in ultra cellular HetNet

Li Bo, Sun Xuehong, Li Chunshu, Xue Kaiping, Zhang Xiaoguang   

  1. 1. Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Ningxia University, Yinchuan 750021, China
    2. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230026, China
    3. Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100080, China
  • Received:2018-04-24 Revised:2018-12-28 Online:2019-04-30 Published:2019-02-26
  • Contact: Corresponding author: Li Bo, E-mail:
  • About author:Corresponding author: Li Bo, E-mail:
  • Supported by:
    This work was supported by the Science Research Project of Higher Education of Ningxia (NGY2018013), the Ningxia Natural Science Foundation (2019AAC03072), and the National Natural Science Foundation of China (61301145).

Abstract: The cellular heterogeneous network (HetNet) with ultra dense small cells is called ultra cellular HetNet. The energy efficiency for this network is very important for future green wireless communications. The data rates and power consumptions for three parts (i.e., macro cells, small cells, and mixed backhaul links) in ultra cellular HetNet are jointly formulated to model downlink energy efficiency considering the active base stations (BSs) and inactive BSs. Then, in order to decrease the downlink co-channel interference, the interference price functions are also jointly set up for the three parts in ultra cellular HetNet. Next, energy efficiency optimization iterative algorithm scheme using the fractional programming and Lagrangian multiplier with constraints for density of ultra dense small cells and fraction of mixed backhaul links is presented with interference pricing. The convergence and computation complexity are also proved in this scheme. The numerical simulations finally demonstrate convergence behavior of the proposed algorithm. By comparison, some conclusion can be drawn. Maximizing energy efficiency of system is lower as the density of small cell is high. The effect on maximizing energy efficiency with interference price outperforms that without interference price. And the energy efficiency increases as the fraction of mixed backhaul links is higher because of more power consumption in the microwave backhaul links.

Key words: ultra cellular, energy efficiency, optimization, backhaul link, interference price

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