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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Coverage and Energy Modeling of HetNet Under Base Station On-Off Model

  • Song, Sida (Wireless Theory & Technology Laboratory (WT&T), the School of Information and Communications Engineering, Beijing University of Posts and Telecommunications) ;
  • Chang, Yongyu (Wireless Theory & Technology Laboratory (WT&T), the School of Information and Communications Engineering, Beijing University of Posts and Telecommunications) ;
  • Wang, Xianling (Wireless Theory & Technology Laboratory (WT&T), the School of Information and Communications Engineering, Beijing University of Posts and Telecommunications) ;
  • Yang, Dacheng (Wireless Theory & Technology Laboratory (WT&T), the School of Information and Communications Engineering, Beijing University of Posts and Telecommunications)
  • Received : 2014.06.04
  • Accepted : 2014.12.09
  • Published : 2015.05.01
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Abstract

Small cell networks, as an important evolution path for next-generation cellular networks, have drawn much attention. Different from the traditional base stations (BSs) always-on model, we proposed a BSs on-off model, where a new, simple expression for the probabilities of active BSs in a heterogeneous network is derived. This model is more suitable for application in practical networks. Based on this, we develop an analytical framework for the performance evaluation of small cell networks, adopting stochastic geometry theory. We derive the system coverage probability; average energy efficiency (AEE) and average uplink power consumption (AUPC) for different association strategies; maximum biased received power (MaBRP); and minimum association distance (MiAD). It is analytically shown that MaBRP is beneficial for coverage but will have some loss in energy saving. On the contrary, MiAD is not advocated from the point of coverage but is more energy efficient. The simulation results show that the use of range expansion in MaBRP helps to save energy but that this is not so in MiAD. Furthermore, we can achieve an optimal AEE by establishing an appropriate density of small cells.

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