Performance Analysis for Drone-Assisted HetNets with Flexible Cell Association

Drone small cells (DSCs) are served as aerial base stations to complement the terrestrial cellular networks, in order to provide seamless wireless coverage and increased network capacity. In this paper, we study a drone-assisted downlink heterogeneous network (HetNet) consisting of a first tier of DSCs overlaid with a second tier of terrestrial small cells (TSCs), both of which operate on the same frequency band. By considering a flexible biased association policy, we develop an analytical framework to evaluate the network performance. After deriving the association probabilities, and the probability distribution functions (PDFs) of typical link length, we derive exact expressions for the per-tier and overall coverage probabilities. The proposed framework allows to quantify the impact on network performance of most important system parameters, such as the height of DSCs, the bias factor, and the base station density. In absence of interference management, our results show that very limited gains can be obtained in the dense network scenario and the improper deployment of DSCs can only degrade the coverage probability achieved by the single-tier TSC network. What’s more, the unbiased cell association is shown to be optimal for the overall coverage probability in the interference-limited network regime.

[1]  Kandeepan Sithamparanathan,et al.  Optimal LAP Altitude for Maximum Coverage , 2014, IEEE Wireless Communications Letters.

[2]  Matthias Wildemeersch,et al.  D2D Enhanced Heterogeneous Cellular Networks With Dynamic TDD , 2014, IEEE Transactions on Wireless Communications.

[3]  Abbas Jamalipour,et al.  Modeling air-to-ground path loss for low altitude platforms in urban environments , 2014, 2014 IEEE Global Communications Conference.

[4]  Harpreet S. Dhillon,et al.  Downlink Coverage Analysis for a Finite 3-D Wireless Network of Unmanned Aerial Vehicles , 2017, IEEE Transactions on Communications.

[5]  Mounir Ghogho,et al.  Performance Analysis of UAV Enabled Disaster Recovery Networks: A Stochastic Geometric Framework Based on Cluster Processes , 2018, IEEE Access.

[6]  Walid Saad,et al.  Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage , 2016, IEEE Communications Letters.

[7]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

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

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

[10]  Halim Yanikomeroglu,et al.  The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells , 2016, IEEE Communications Magazine.

[11]  Sofie Pollin,et al.  Joint Sum-Rate and Power Gain Analysis of an Aerial Base Station , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[12]  Rui Zhang,et al.  Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.

[13]  Wei Zhang,et al.  Spectrum Sharing for Drone Networks , 2017, IEEE Journal on Selected Areas in Communications.