Energy consumption and outage performance analysis of Heterogeneous network with varying inter-tier dependence

In this paper, we propose an analytical framework for energy saving and outage performance of two-tier heterogeneous networks with traffic-based varying inter-tier dependence. Firstly, the Macro Base Station (MBS) tier and Pico Base Station (PBS) tier are deployed following a Poisson Point Process (PPP) and a Poisson Hole Process (PHP) respectively. Then, the exclusion radius of the MBS is designed to be inversely proportional to the data traffic modeled as a periodic sinusoidal model. Hinging on the proposed analytical framework, tractable expressions are derived for energy consumption and outage performance of Heterogeneous Cellular Network (HCN). From the analytical and simulation results it can be concluded that the outage performance of Macro Users (MUs) with our scheme outperforms that of the independent HCN model and the intertier dependent HCN model with fixed exclusion radius, while the outage performance of Pico Users (PUs) decreases only a little, and up to 15% energy can be saved with our scheme.

[1]  M. Laddomada.  IEEE Transactions on Wireless Communications - Table of Contents , 2006 .

[2]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[3]  Marco Ajmone Marsan,et al.  Energy efficient management of two cellular access networks , 2010, PERV.

[4]  Tiejun Lv,et al.  A stochastic geometry based two-stage energy consumption minimization strategy via sleep mode with QoS constraint , 2016, 2016 IEEE International Conference on Communications Workshops (ICC).

[5]  Qimei Cui,et al.  Closed-form solution for minimizing power consumption in coordinated transmissions , 2012, EURASIP J. Wirel. Commun. Netw..

[6]  Bhaskar Krishnamachari,et al.  Energy Savings through Dynamic Base Station Switching in Cellular Wireless Access Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[7]  G. Fettweis,et al.  ICT ENERGY CONSUMPTION – TRENDS AND CHALLENGES , 2008 .

[8]  Peilin Hong,et al.  Stochastic Analysis of Optimal Base Station Energy Saving in Cellular Networks with Sleep Mode , 2014, IEEE Communications Letters.

[9]  Jeffrey G. Andrews,et al.  Seven ways that HetNets are a cellular paradigm shift , 2013, IEEE Communications Magazine.

[10]  L. Chiaraviglio,et al.  Optimal Energy Savings in Cellular Access Networks , 2009, 2009 IEEE International Conference on Communications Workshops.

[11]  Qimei Cui,et al.  Optimal Energy-Efficient Relay Deployment for the Bidirectional Relay Transmission Schemes , 2014, IEEE Transactions on Vehicular Technology.

[12]  Qimei Cui,et al.  Evolution of Limited-Feedback CoMP Systems from 4G to 5G: CoMP Features and Limited-Feedback Approaches , 2014, IEEE Vehicular Technology Magazine.

[13]  Min Zhou,et al.  Energy-Efficient Relay Selection for Two-Way Relay Channel with Analog Network Coding , 2012 .

[14]  Xiang Zhou,et al.  Energy-Efficiency based Power Amplifier Selection in Two-way Relay Systems , 2013, ISWCS.

[15]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[16]  Wuyang Zhou,et al.  A heterogeneous cellular network model with inter-tier dependence , 2014, 2014 IEEE Global Communications Conference.