Performance Analysis of the Idle Mode Capability in a Dense Heterogeneous Cellular Network

In this paper, we study the impact of the base station (BS) idle mode capacity (IMC) on the network performance of multi-tier and dense heterogeneous cellular networks (HCNs) with both line-of-sight (LoS) and non-line-of-sight transmissions. Different from most existing works that investigated network scenarios with an infinite number of user equipments (UEs), we consider a more practical set-up with a finite number of UEs in our analysis. Moreover, in our model, the small BSs (SBSs) apply a positive power bias in the cell association procedure, so that macrocell UEs are actively encouraged to use the more lightly loaded SBSs. In addition, to address the severe interference that these cell range expanded UEs may suffer, the macro BSs (MBSs) apply enhanced inter-cell interference coordination, in the form of almost blank subframe (ABS) mechanism. For this model, we derive the coverage probability and the rate of a typical UE in the whole network or a certain tier. The impact of the IMC on the performance of the network is shown to be significant. In particular, it is important to note that there will be a surplus of BSs when the BS density exceeds the UE density, and thus a large number of BSs switch off. As a result, the overall coverage probability, as well as the area spectral efficiency, will continuously increase with the BS density, addressing the network outage that occurs when all BSs are active and the interference becomes LoS dominated. Finally, the optimal ABS factors are investigated in different BS density regions. One of major findings is that MBSs should give up all resources in favor of the SBSs when the small cell networks go ultra-dense. This reinforces the need for orthogonal deployments, shedding new light on the design and deployment of the future 5G dense HCNs.

[1]  Seong-Lyun Kim,et al.  Downlink capacity and base station density in cellular networks , 2011, 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[2]  Marco Di Renzo,et al.  The Intensity Matching Approach: A Tractable Stochastic Geometry Approximation to System-Level Analysis of Cellular Networks , 2016, IEEE Transactions on Wireless Communications.

[3]  Michael L. Honig,et al.  Energy-Efficient Cell Activation, User Association, and Spectrum Allocation in Heterogeneous Networks , 2015, IEEE Journal on Selected Areas in Communications.

[4]  R. E. Miles,et al.  Monte carlo estimates of the distributions of the random polygons of the voronoi tessellation with respect to a poisson process , 1980 .

[5]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

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

[7]  Marco Di Renzo,et al.  Stochastic Geometry Modeling and Analysis of Multi-Tier Millimeter Wave Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[8]  Tony Q. S. Quek,et al.  Enhanced intercell interference coordination challenges in heterogeneous networks , 2011, IEEE Wireless Communications.

[9]  Zihuai Lin,et al.  Study on the Idle Mode Capability with LoS and NLoS Transmissions , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[10]  Jeffrey G. Andrews,et al.  SINR and Throughput of Dense Cellular Networks With Stretched Exponential Path Loss , 2017, IEEE Transactions on Wireless Communications.

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

[12]  Zihuai Lin,et al.  On the performance of multi-tier heterogeneous cellular networks with idle mode capability , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[13]  Min Sheng,et al.  Effect of Densification on Cellular Network Performance With Bounded Pathloss Model , 2016, IEEE Communications Letters.

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

[15]  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.

[16]  Jeffrey G. Andrews,et al.  User Association for Load Balancing in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[17]  Kaibin Huang,et al.  Coverage and Economy of Cellular Networks with Many Base Stations , 2012, IEEE Communications Letters.

[18]  Ming Ding,et al.  On the performance of practical ultra-dense networks: The major and minor factors , 2017, 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[19]  Ian F. Akyildiz,et al.  Local Anchor Schemes for Seamless and Low-Cost Handover in Coordinated Small Cells , 2016, IEEE Transactions on Mobile Computing.

[20]  Jeffrey G. Andrews,et al.  Downlink Cellular Network Analysis With Multi-Slope Path Loss Models , 2014, IEEE Transactions on Communications.

[21]  Chonggang Wang,et al.  Handover schemes in heterogeneous LTE networks: challenges and opportunities , 2016, IEEE Wireless Communications.

[22]  Peng Wang,et al.  Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

[23]  Jeffrey G. Andrews,et al.  Outage Probability for Heterogeneous Cellular Networks with Biased Cell Association , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[24]  Z. Néda,et al.  On the size-distribution of Poisson Voronoi cells , 2004, cond-mat/0406116.

[25]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[26]  Holger Claussen,et al.  Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments , 2015, IEEE Communications Surveys & Tutorials.