Performance Impact of Idle Mode Capability on Dense Small Cell Networks

Very recent studies showed that in a fully loaded dense small cell network (SCN), the coverage probability performance will continuously decrease with the network densification. Such new results were captured in IEEE ComSoc Technology News with an alarming title of “Will Densification Be the Death of 5G?” In this paper, we revisit this issue from more practical views of realistic network deployment, such as a finite number of active base stations (BSs) and user equipments (UEs), a decreasing BS transmission power with the network densification, etc. Particularly, in dense SCNs, due to an oversupply of BSs with respect to UEs, a large number of BSs can be put into idle modes without signal transmission, if there is no active UE within their coverage areas. Setting those BSs into idle modes mitigates unnecessary intercell interference and reduces energy consumption. In this paper, we investigate the performance impact of such BS idle mode capability (IMC) on dense SCNs. Different from existing work, we consider a realistic path loss model incorporating both line-of-sight (LoS) and non-LoS transmissions. Moreover, we obtain analytical results for the coverage probability, the area spectral efficiency and the energy efficiency (EE) performance for SCNs with the BS IMC and show that the performance impact of the IMC on dense SCNs is significant. As the BS density surpasses the UE density in dense SCNs, the coverage probability will continuously increase toward one, addressing previous concerns on “the death of 5G”. Finally, the performance improvement in terms of the EE performance is also investigated for dense SCNs using practical energy models developed in the Green-Touch project.

[1]  Mohamed-Slim Alouini,et al.  Handover management in dense cellular networks: A stochastic geometry approach , 2016, 2016 IEEE International Conference on Communications (ICC).

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

[3]  Zihuai Lin,et al.  Will the Area Spectral Efficiency Monotonically Grow as Small Cells Go Dense? , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[4]  Mahbub Hassan,et al.  Dynamic Base Station Repositioning to Improve Performance of Drone Small Cells , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

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

[6]  Ming Ding,et al.  Please Lower Small Cell Antenna Heights in 5G , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

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

[8]  Xiaohu Ge,et al.  User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility Model , 2015, IEEE Journal on Selected Areas in Communications.

[9]  Claude Desset,et al.  Towards a flexible and future-proof power model for cellular base stations , 2013 .

[10]  Cheng-Xiang Wang,et al.  5G Ultra-Dense Cellular Networks , 2015, IEEE Wireless Communications.

[11]  Lawrence Wai-Choong Wong,et al.  An Analysis Framework for Interuser Interference in IEEE 802.15.6 Body Sensor Networks: A Stochastic Geometry Approach , 2016, IEEE Transactions on Vehicular Technology.

[12]  Brian D. O. Anderson,et al.  Graph Theoretic Models and Tools for the Analysis of Dynamic Wireless Multihop Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[13]  Xiaohu Ge,et al.  Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models , 2015, IET Networks.

[14]  Jie Zhang,et al.  Study on Scheduling Techniques for Ultra Dense Small Cell Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[15]  Nei Kato,et al.  On the Outage Probability of Device-to-Device-Communication-Enabled Multichannel Cellular Networks: An RSS-Threshold-Based Perspective , 2016, IEEE Journal on Selected Areas in Communications.

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

[17]  Cheng-Xiang Wang,et al.  A Non-Stationary 3-D Wideband Twin-Cluster Model for 5G Massive MIMO Channels , 2014, IEEE Journal on Selected Areas in Communications.

[18]  Zhe Luo,et al.  Dynamic Small Cell on/off Scheduling Using Stackelberg Game , 2014, IEEE Communications Letters.

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

[20]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[21]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[22]  Nei Kato,et al.  Device-to-device communications achieve efficient load balancing in LTE-advanced networks , 2014, IEEE Wireless Communications.

[23]  Khaled Ben Letaief,et al.  Throughput and Energy Efficiency Analysis of Small Cell Networks with Multi-Antenna Base Stations , 2013, IEEE Transactions on Wireless Communications.

[24]  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.

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

[26]  J. Miller Numerical Analysis , 1966, Nature.

[27]  Maria Huhtala,et al.  Random Variables and Stochastic Processes , 2021, Matrix and Tensor Decompositions in Signal Processing.

[28]  Robert W. Heath,et al.  Coverage and Rate Analysis for Millimeter-Wave Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

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

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

[31]  Zihuai Lin,et al.  Microscopic Analysis of the Uplink Interference in FDMA Small Cell Networks , 2015, IEEE Transactions on Wireless Communications.

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

[33]  Nei Kato,et al.  Device-to-Device Communication in LTE-Advanced Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.