Energy-efficient microcell base station power control in heterogeneous cellular network

Heterogeneous cellular networks (HetNets) can meet the rapid growth of mobile services demand. However, the dense deployment of small cell base stations (BSs) inevitably triggers a tremendous escalation of energy consumption. In this paper, we investigate the energy efficiency of the two-tier HetNets. The minimum achievable throughput of the whole HetNet is obtained, and then the closed-form energy efficiency expression is derived. Finally, we analysis the impact of BS transmit power on energy efficiency and propose an energy efficiency optimization algorithm to find the optimal micro BS transmit power which can maximize energy efficiency. Simulation results validate the accuracy of the theoretical analysis and demonstrate the effectiveness of the proposed energy efficiency optimization scheme.

[1]  C-ran the Road towards Green Ran , 2022 .

[2]  Xiaohua Jia,et al.  Minimizing Energy Cost by Dynamic Switching ON/OFF Base Stations in Cellular Networks , 2016, IEEE Transactions on Wireless Communications.

[3]  I Chih-Lin,et al.  Energy and Spectral Efficient Frequency Reuse of Ultra Dense Networks , 2016, IEEE Transactions on Wireless Communications.

[4]  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.

[5]  Chenyang Yang,et al.  Energy Efficiency and Delay in Wireless Systems: Is Their Relation Always a Tradeoff? , 2016, IEEE Transactions on Wireless Communications.

[6]  Ling Qiu,et al.  Area Spectral Efficiency Analysis and Energy Consumption Minimization in Multiantenna Poisson Distributed Networks , 2016, IEEE Transactions on Wireless Communications.

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

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

[9]  Peilin Hong,et al.  Energy-Aware Cellular Deployment Strategy Under Coverage Performance Constraints , 2015, IEEE Transactions on Wireless Communications.

[10]  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.

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

[12]  Emad Alsusa,et al.  Energy Efficient Deployment of Dense Heterogeneous Cellular Networks , 2014, GLOBECOM 2014.

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

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

[15]  Xianfu Chen,et al.  Energy-Efficiency Oriented Traffic Offloading in Wireless Networks: A Brief Survey and a Learning Approach for Heterogeneous Cellular Networks , 2015, IEEE Journal on Selected Areas in Communications.

[16]  Tiankui Zhang,et al.  Energy Efficiency of Base Station Deployment in Ultra Dense HetNets: A Stochastic Geometry Analysis , 2016, IEEE Wireless Communications Letters.

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

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

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