A Two-Stage Game Framework to Secure Transmission in Two-Tier UAV Networks

The multi-UAV network is promising to extend conventional networks by providing broader coverage, and better reliability. Nevertheless, the broadcast nature of wireless signals, and the broader coverage expose multi-UAV communications to the threats of passive eavesdroppers. Recent studies mainly focus on securing a single legitimate link, or communications between a UAV, and multiple ground users in one/two-UAV-aided networks, while the physical layer secrecy analysis for hierarchical multi-UAV networks is underexplored. In this paper, we investigate a general two-tier UAV network consisting of multiple UAV transmitters (UTs), and multiple UAV receivers (URs) in the presence of multiple UAV eavesdroppers (UEs). To protect all legitimate UT-UR links against UEs at the physical layer, we design a two-stage framework consisting of a UT-UR association stage, and a cooperative transmission stage. Specifically, we formulate the secure transmission problem into a many-to-one matching game followed by an overlapping coalition formation (OCF) game, taking into account the limited capabilities, and the throughput requirements of URs, as well as the transmission power constraints of UTs. A matching algorithm, and an OCF algorithm are proposed to solve these two sequential games whose convergences, and stabilities are guaranteed theoretically. Simulation results show the superiority of our algorithms, and the effectiveness of our two-stage game framework in the terms of secrecy performance.

[1]  Xiaodai Dong,et al.  Distributed and Multilayer UAV Networks for Next-Generation Wireless Communication and Power Transfer: A Feasibility Study , 2019, IEEE Internet of Things Journal.

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

[3]  Zhu Han,et al.  Improving Wireless Physical Layer Security via Cooperating Relays , 2010, IEEE Transactions on Signal Processing.

[4]  Walid Saad,et al.  Matching theory for future wireless networks: fundamentals and applications , 2014, IEEE Communications Magazine.

[5]  Qingqing Wu,et al.  Securing UAV Communications via Joint Trajectory and Power Control , 2018, IEEE Transactions on Wireless Communications.

[6]  Pramod K. Varshney,et al.  Matching theory for cognitive spectrum allocation in wireless networks , 2016, 2016 Annual Conference on Information Science and Systems (CISS).

[7]  He Chen,et al.  Improving Physical Layer Security via a UAV Friendly Jammer for Unknown Eavesdropper Location , 2018, IEEE Transactions on Vehicular Technology.

[8]  Haji M. Furqan,et al.  Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey , 2019, IEEE Communications Surveys & Tutorials.

[9]  Tony Q. S. Quek,et al.  Safeguarding UAV Communications Against Full-Duplex Active Eavesdropper , 2019, IEEE Transactions on Wireless Communications.

[10]  Walid Saad,et al.  Stochastic Coalitional Games for Cooperative Random Access in M2M Communications , 2017, IEEE Transactions on Wireless Communications.

[11]  Justin P. Coon,et al.  Secrecy Performance Analysis of Wireless Communications in the Presence of UAV Jammer and Randomly Located UAV Eavesdroppers , 2019, IEEE Transactions on Information Forensics and Security.

[12]  Shaolei Ren,et al.  Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach , 2020, IEEE Transactions on Services Computing.

[13]  Xiang Cheng,et al.  Overlapping Coalition Formation Game Based Opportunistic Cooperative Localization Scheme for Wireless Networks , 2017, IEEE Transactions on Communications.

[14]  Qian Zhang,et al.  State-Aware Rate Adaptation for UAVs by Incorporating On-Board Sensors , 2019, IEEE Transactions on Vehicular Technology.

[15]  Choong Seon Hong,et al.  Distributed Radio Slice Allocation in Wireless Network Virtualization: Matching Theory Meets Auctions , 2020, IEEE Access.

[16]  Walid Saad,et al.  Popular Matching Games for Correlation-Aware Resource Allocation in the Internet of Things , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[17]  Walid Saad,et al.  Evolutionary Coalitional Game for Correlation-Aware Clustering in Machine-to-Machine Communications , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[18]  Tao Jiang,et al.  Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs , 2019, IEEE Transactions on Multimedia.

[19]  Adam Wierman,et al.  Peer Effects and Stability in Matching Markets , 2011, SAGT.

[20]  Christian Wietfeld,et al.  Investigation of Air-to-Air Channel Characteristics and a UAV Specific Extension to the Rice Model , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[21]  Xiaoning Zhang,et al.  Combined relay selection and secure beamforming for decode-and-forward networks with multiple eavesdroppers , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[22]  Inkyu Lee,et al.  UAV-Aided Secure Communications With Cooperative Jamming , 2018, IEEE Transactions on Vehicular Technology.

[23]  Walid Saad,et al.  Overlapping coalitional games for collaborative sensing in cognitive radio networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[24]  Leïla Azouz Saïdane,et al.  Monitoring road traffic with a UAV-based system , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[25]  Carlos Eduardo Pereira,et al.  Design and Optimization of a Heterogeneous Platform for multiple UAV use in Precision Agriculture Applications , 2014 .

[26]  Walid Saad,et al.  Coalitional Games with Overlapping Coalitions for Interference Management in Small Cell Networks , 2014, IEEE Transactions on Wireless Communications.

[27]  Derrick Wing Kwan Ng,et al.  Robust Trajectory and Transmit Power Design for Secure UAV Communications , 2018, IEEE Transactions on Vehicular Technology.

[28]  Walid Saad,et al.  Matching theory for backhaul management in small cell networks with mmWave capabilities , 2015, 2015 IEEE International Conference on Communications (ICC).

[29]  Lihua Li,et al.  Resource Allocation and Basestation Placement in Cellular Networks With Wireless Powered UAVs , 2019, IEEE Transactions on Vehicular Technology.

[30]  Shigeru Shimamoto,et al.  Highly reliable communication protocol for WSN-UAV system employing TDMA and PFS scheme , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[31]  Eduard A. Jorswieck,et al.  Distributed Clustering for Multiuser Networks through Coalition Formation , 2017, ArXiv.

[32]  Are Hjørungnes,et al.  Controlled Coalitional Games for Cooperative Mobile Social Networks , 2011, IEEE Transactions on Vehicular Technology.

[33]  Chungang Yang,et al.  A Survey of Game Theory in Unmanned Aerial Vehicles Communications , 2019, IEEE Communications Surveys & Tutorials.

[34]  Walid Saad,et al.  Mode Selection and Resource Allocation in Device-to-Device Communications: A Matching Game Approach , 2017, IEEE Transactions on Mobile Computing.

[35]  Jun Li,et al.  UAV-Enabled Secure Communications: Joint Trajectory and Transmit Power Optimization , 2019, IEEE Transactions on Vehicular Technology.

[36]  Soumya Dutta,et al.  Ad-hoc networked UAVs as Aerial Mesh Network for disaster management application and remote sensing: An approach , 2017, 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[37]  Walid Saad,et al.  Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks , 2012, IEEE Journal of Selected Topics in Signal Processing.

[38]  Walid Saad,et al.  Matching Theory for Distributed User Association and Resource Allocation in Cognitive Femtocell Networks , 2017, IEEE Transactions on Vehicular Technology.