Energy Efficiency of Base Station Deployment in Ultra Dense HetNets: A Stochastic Geometry Analysis

Ultra dense heterogeneous networks (HetNets), which involve densely deployed small cells underlaying traditional macro cellular networks, will be an enabling solution for extremely high data rate communications. However, the dense deployment of small cell base stations (BSs) inevitably triggers a tremendous escalation of energy consumption. In this letter, we investigate the impact of BS deployment, especially BS density on energy efficiency in ultra dense HetNets using the stochastic geometry theory. The minimum achievable data rate in terms of the traffic load in each tier is characterized, and then the minimum achievable throughput of the whole HetNets is obtained. Finally, the closed-form energy efficiency with respect to the BS deployment is derived. The simulation validates the accuracy of the theoretical analysis, and demonstrates that the energy efficiency maximization can be achieved by the optimized BS deployment.

[1]  Mikko Valkama,et al.  Spectral and energy efficiency of ultra-dense networks under different deployment strategies , 2015, IEEE Communications Magazine.

[2]  Jeffrey G. Andrews,et al.  Heterogeneous Cellular Networks with Flexible Cell Association: A Comprehensive Downlink SINR Analysis , 2011, IEEE Transactions on Wireless Communications.

[3]  Gerhard Fettweis,et al.  Energy Efficiency Aspects of Base Station Deployment Strategies for Cellular Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[4]  Muhammad Ali Imran,et al.  MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network , 2015, IEEE Wireless Communications.

[5]  Hyundong Shin,et al.  Energy Efficient Heterogeneous Cellular Networks , 2013, IEEE Journal on Selected Areas in Communications.

[6]  Jeffrey G. Andrews,et al.  Downlink Rate Distribution in Heterogeneous Cellular Networks under Generalized Cell Selection , 2013, IEEE Wireless Communications Letters.

[7]  Jeffrey G. Andrews,et al.  Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights , 2012, IEEE Transactions on Wireless Communications.

[8]  Marco Di Renzo,et al.  Average Rate of Downlink Heterogeneous Cellular Networks over Generalized Fading Channels: A Stochastic Geometry Approach , 2013, IEEE Transactions on Communications.

[9]  Cheng-Xiang Wang,et al.  Energy Efficiency Evaluation of Cellular Networks Based on Spatial Distributions of Traffic Load and Power Consumption , 2013, IEEE Transactions on Wireless Communications.

[10]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[11]  Zhisheng Niu,et al.  Optimal Combination of Base Station Densities for Energy-Efficient Two-Tier Heterogeneous Cellular Networks , 2013, IEEE Transactions on Wireless Communications.