Cooperative UAV Cluster-Assisted Terrestrial Cellular Networks for Ubiquitous Coverage

Unmanned aerial vehicles (UAVs), featured by flexible configuration, robust deployment, and line-of-sight links, has a great potential to provide ubiquitous wireless coverage and high-speed transmission. In this paper, we aim to analyze the coverage performance of UAV-assisted terrestrial cellular networks, where partially energy-harvesting-powered caching UAVs are randomly deployed in the 3-D space with a minimum and maximum altitude, i.e., <inline-formula> <tex-math notation="LaTeX">$H_{l}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$H_{h}$ </tex-math></inline-formula>. A novel cooperative UAV clustering scheme is proposed to offload ground mobile terminals (GMTs) from ground cellular base stations to cooperative UAV clusters. A cooperative UAV cluster is developed within a cylinder with projection centered on a GMT, based on their energy states, the cached contents, and the cell loads. With tractable Poisson point process and Gamma approximation, explicit expressions for the successful transmission probabilities are obtained. A theoretical analysis reveals that the cooperative probability of a UAV and the offloading probability of a GMT have bell-shaped relation with respect to the radius of the cylinder and the cache hit probability (the matching probability of a content request and content cache). Numerical results are provided to demonstrate the impacts of the system parameters on the cooperative UAV cluster. The results also give the optimal average altitude (<inline-formula> <tex-math notation="LaTeX">${H_{l}+H_{h}}/{2}$ </tex-math></inline-formula>) and altitude difference (<inline-formula> <tex-math notation="LaTeX">$H_{h}-H_{l}$ </tex-math></inline-formula>) in maximizing the coverage performance with the proposed cooperative transmission scheme.

[1]  Victor C. M. Leung,et al.  Extracting the Most Weighted Throughput in UAV Empowered Wireless Systems With Nonlinear Energy Harvester , 2018, 2018 29th Biennial Symposium on Communications (BSC).

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

[3]  T. Kiang RANDOM FRAGMENTATION IN TWO AND THREE DIMENSIONS. , 1966 .

[4]  David W. Matolak,et al.  Air–Ground Channel Characterization for Unmanned Aircraft Systems Part II: Hilly and Mountainous Settings , 2017, IEEE Transactions on Vehicular Technology.

[5]  Ekram Hossain,et al.  Multi-Tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects , 2017, IEEE Communications Magazine.

[6]  Bartlomiej Blaszczyszyn,et al.  Optimal geographic caching in cellular networks , 2014, 2015 IEEE International Conference on Communications (ICC).

[7]  Xingqin Lin,et al.  The Sky Is Not the Limit: LTE for Unmanned Aerial Vehicles , 2017, IEEE Communications Magazine.

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

[9]  Nuno Souto,et al.  Cellular for the skies: Exploiting mobile network infrastructure for low altitude air-to-ground communications , 2016, IEEE Aerospace and Electronic Systems Magazine.

[10]  Youngchul Sung,et al.  Randomly-Directional Beamforming in Millimeter-Wave Multiuser MISO Downlink , 2014, IEEE Transactions on Wireless Communications.

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

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

[13]  David W. Matolak,et al.  Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part III: The Suburban and Near-Urban Environments , 2017, IEEE Transactions on Vehicular Technology.

[14]  Jeroen Wigard,et al.  How to Ensure Reliable Connectivity for Aerial Vehicles Over Cellular Networks , 2018, IEEE Access.

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

[16]  Xiaofeng Tao,et al.  On Base Station Coordination in Cache- and Energy Harvesting-Enabled HetNets: A Stochastic Geometry Study , 2018, IEEE Transactions on Communications.

[17]  Weihua Zhuang,et al.  Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions , 2017, IEEE Communications Magazine.

[18]  Lihua Li,et al.  UAV-assisted Cooperative Communications with Wireless Information and Power Transfer , 2017, ArXiv.

[19]  Xiaofei Wang,et al.  Cache in the air: exploiting content caching and delivery techniques for 5G systems , 2014, IEEE Communications Magazine.

[20]  David W. Matolak,et al.  Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part I: Methods, Measurements, and Models for Over-Water Settings , 2017, IEEE Transactions on Vehicular Technology.

[21]  Robert W. Heath,et al.  Modeling heterogeneous network interference , 2012, 2012 Information Theory and Applications Workshop.

[22]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 1: Theory , 2009, Found. Trends Netw..

[23]  Tony Q. S. Quek,et al.  Traffic Offloading in Heterogeneous Networks With Energy Harvesting Personal Cells-Network Throughput and Energy Efficiency , 2016, IEEE Transactions on Wireless Communications.

[24]  Jeroen Wigard,et al.  Radio Channel Modeling for UAV Communication Over Cellular Networks , 2017, IEEE Wireless Communications Letters.

[25]  Evangelos Pallis,et al.  Computing, Caching, and Communication at the Edge: The Cornerstone for Building a Versatile 5G Ecosystem , 2017, IEEE Communications Magazine.

[26]  Hakim Ghazzai,et al.  Energy Management in Cellular HetNets Assisted by Solar Powered Drone Small Cells , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

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

[28]  Athanasios V. Vasilakos,et al.  Autonomous Relay for Millimeter-Wave Wireless Communications , 2017, IEEE Journal on Selected Areas in Communications.

[29]  Lin Cai,et al.  UAV-Assisted Dynamic Coverage in a Heterogeneous Cellular System , 2017, IEEE Network.

[30]  Robert Sowah,et al.  Rotational energy harvesting to prolong flight duration of quadcopters , 2017, 2015 IEEE Industry Applications Society Annual Meeting.

[31]  Walid Saad,et al.  Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

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

[33]  Ran Dai,et al.  Path planning of solar-powered unmanned aerial vehicles at low altitude , 2013, 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS).

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

[35]  Qimei Cui,et al.  The SIR Meta Distribution in Poisson Cellular Networks With Base Station Cooperation , 2018, IEEE Transactions on Communications.

[36]  Walid Saad,et al.  Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience , 2016, IEEE Journal on Selected Areas in Communications.

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