An FSO-Based Drone Assisted Mobile Access Network for Emergency Communications

Deploying drone mounted base stations (DBSs) can quickly recover communications of mobile users (MUs) in a disaster struck area. That is, DBSs can act as relay nodes to transmit data from remote working base stations (which are located out of the disaster struck area) to MUs. Since DBSs could be deployed very close to MUs, the access link data rates between DBSs and MUs are well provisioned. However, DBSs may be far away from the remote working base stations, and thus the backhaul link data rate between a DBS and the remote working base station could be throttled. Free Space Optics (FSO), which has been demonstrated to provision high speed point-to-point wireless communications, can be leveraged to improve the capacity of the backhaul link. Since FSO requires line-of-sight between a DBS and a remote working macro base station, DBSs have to be carefully deployed. In this paper, we design a QoS awaRe dronE base Station plaCement and mobile User association stratEgy (RESCUE) in the context of FSO based drone assisted mobile access networks to jointly optimize the DBS deployment, MU association, and bandwidth allocation such that the number of served MUs in the disaster struck area is maximized. The performance of RESCUE is validated via extensive simulations.

[1]  Zhiyong Feng,et al.  Performance Analysis of UAVs Assisted Data Collection in Wireless Sensor Network , 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[2]  Halim Yanikomeroglu,et al.  Efficient 3-D placement of an aerial base station in next generation cellular networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[3]  Wenchao Xu,et al.  Multiple Drone-Cell Deployment Analyses and Optimization in Drone Assisted Radio Access Networks , 2018, IEEE Access.

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

[5]  Ian F. Akyildiz,et al.  Help from the Sky: Leveraging UAVs for Disaster Management , 2017, IEEE Pervasive Computing.

[6]  Luiz A. DaSilva,et al.  Backhaul for Low-Altitude UAVs in Urban Environments , 2017, 2018 IEEE International Conference on Communications (ICC).

[7]  Mahbub Hassan,et al.  Flying Drone Base Stations for Macro Hotspots , 2018, IEEE Access.

[8]  Halim Yanikomeroglu,et al.  On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[9]  Mohamed-Slim Alouini,et al.  FSO-Based Vertical Backhaul/Fronthaul Framework for 5G+ Wireless Networks , 2016, IEEE Communications Magazine.

[10]  Mohamed-Slim Alouini,et al.  Free-Space Optical Communications: Capacity Bounds, Approximations, and a New Sphere-Packing Perspective , 2016, IEEE Transactions on Communications.

[11]  Nirwan Ansari,et al.  Mobile Edge Computing Empowers Internet of Things , 2017, SENSORNETS.

[12]  You Ze Cho,et al.  Positioning of UAVs for throughput maximization in software-defined disaster area UAV communication networks , 2018, Journal of Communications and Networks.

[13]  Yuefeng Ji,et al.  Network Topology Reconfiguration for FSO-Based Fronthaul/Backhaul in 5G+ Wireless Networks , 2018, IEEE Access.

[14]  Nirwan Ansari,et al.  Jointly Optimizing Drone-Mounted Base Station Placement and User Association in Heterogeneous Networks , 2018, 2018 IEEE International Conference on Communications (ICC).

[15]  Chia-han Lee.  Wireless information and power transfer for communication recovery in disaster areas , 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

[16]  Nirwan Ansari,et al.  EdgeIoT: Mobile Edge Computing for the Internet of Things , 2016, IEEE Communications Magazine.

[17]  Bharat Bhargava,et al.  Hierarchical structure for supporting movable base stations in wireless networks , 2003, 10th International Conference on Telecommunications, 2003. ICT 2003..

[18]  Ting Wang,et al.  100 Gb/s per-channel free-space optical transmission with coherent detection and MIMO processing , 2009, 2009 35th European Conference on Optical Communication.

[19]  Kenichi Mase,et al.  Communication service continuity under a large-scale disaster: Providing a wireless multihop network and shelter communication service for a disaster area under the Great East Japan Earthquake , 2012, 2012 IEEE International Conference on Communications (ICC).

[20]  Di Wu,et al.  A Cooperative Drone Assisted Mobile Access Network for Disaster Emergency Communications , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

[21]  Satoshi Kotabe,et al.  Bringing movable and deployable networks to disaster areas: development and field test of MDRU , 2016, IEEE Network.

[22]  George K. Karagiannidis,et al.  Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks , 2017, 2018 IEEE International Conference on Communications (ICC).

[23]  Xilong Liu,et al.  Resource Allocation in UAV-Assisted M2M Communications for Disaster Rescue , 2019, IEEE Wireless Communications Letters.

[24]  Nirwan Ansari,et al.  On the Number and 3-D Placement of In-Band Full-Duplex Enabled Drone-Mounted Base-Stations , 2019, IEEE Wireless Communications Letters.

[25]  Nirwan Ansari,et al.  Placing Multiple Drone Base Stations in Hotspots , 2018, 2018 IEEE 39th Sarnoff Symposium.

[26]  Song Guo,et al.  Vehicle-Assist Resilient Information and Network System for Disaster Management , 2017, IEEE Transactions on Emerging Topics in Computing.

[27]  Jairo A. Gutiérrez,et al.  A Cyber Physical Buses-and-Drones Mobile Edge Infrastructure for Large Scale Disaster Emergency Communications , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).

[28]  Nirwan Ansari,et al.  Latency Aware Drone Base Station Placement in Heterogeneous Networks , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[29]  Chadi Abou-Rjeily,et al.  UAV-Aided Cooperation for FSO Communication Systems , 2018, IEEE Communications Magazine.

[30]  Deborah Estrin,et al.  A first look at traffic on smartphones , 2010, IMC '10.

[31]  Jun-Woo Cho,et al.  Performance Comparison of Heuristic Algorithms for UAV Deployment with Low Power Consumption , 2018, 2018 International Conference on Information and Communication Technology Convergence (ICTC).

[32]  Sanamdeep Singh,et al.  Pointing error evaluation in FSO link , 2013, ARTCom 2013.

[33]  Eitan Altman,et al.  Towards efficient disaster management: 5G and Device to Device communication , 2015, 2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).

[34]  Md. Abdur Razzaque,et al.  Traffic-load aware spectrum allocation in cloud assisted cognitive radio networks , 2017, 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).

[35]  Yu Liu,et al.  200 Gb/s FSO WDM Communication System Empowered by Multiwavelength Directly Modulated TOSA for 5G Wireless Networks , 2018, IEEE Photonics Journal.

[36]  Athanasios V. Vasilakos,et al.  Drone-Based Wireless Relay Using Online Tensor Update , 2016, 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS).

[37]  Lin Li,et al.  Robust WiFi Localization by Fusing Derivative Fingerprints of RSS and Multiple Classifiers , 2020, IEEE Transactions on Industrial Informatics.

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

[39]  Di Wu,et al.  High Capacity Spectrum Allocation for Multiple D2D Users Reusing Downlink Spectrum in LTE , 2018, 2018 IEEE International Conference on Communications (ICC).