Drone Swarms: An overview and working in network control systems

Year : 2024 | Volume :01 | Issue : 01 | Page : –
By

Dr. Angshuman Chakraborty,

Dr. Trupa Sarkar,

  1. Associate Professor Tripura Institute of Technology, Narsingarh Tripura India
  2. Assistant Professor Tripura Institute of Technology, Narsingarh Tripura India

Abstract

The review of multi-agent systems, including drone swarms, has gained momentum due to their ability to exhibit cooperative behavior. Automating the control of a drone swarm poses substantial challenges due to the diverse wireless, networking, and environmental constraints each drone faces. To address these challenges, we treat drone swarms as Networked Control Systems (NCS), integrating the overall system control within a wireless communication network. This approach relies on a strong interconnection between networking and computational systems to effectively support crucial control functions, including data collection and exchange, decision-making, and the distribution of actuation commands.
Our literature review indicates a scarcity of review papers focusing on the design of drone swarms as Networked Control Systems (NCS). In this review, we provide an extensive overview of the development of self-organized drone swarms as Networked Control Systems (NCS) through the integration of networking and computational systems. We detail the characteristics of these proposed components with respect to their networking and computational features and assess their integration to improve drone swarm performance. Furthermore, we propose a possible design approach and identify several open research challenges associated with the integration of networking and computing in drone swarms as Networked Control Systems (NCS).

Keywords: Drone swarms; Networked control systems; Wireless networks; In-network computing, Unmanned aerial vehicle

[This article belongs to International Journal on Drones(ijd)]

How to cite this article: Dr. Angshuman Chakraborty, Dr. Trupa Sarkar. Drone Swarms: An overview and working in network control systems. International Journal on Drones. 2024; 01(01):-.
How to cite this URL: Dr. Angshuman Chakraborty, Dr. Trupa Sarkar. Drone Swarms: An overview and working in network control systems. International Journal on Drones. 2024; 01(01):-. Available from: https://journals.stmjournals.com/ijd/article=2024/view=157802



References

[1] Boriceanu AM. THE USE OF UNMANNED AERIAL VEHICLES FOR MONITORING PURPOSES IN CIVILIAN APPLICATIONS. Review of the Air Force Academy. 2021(1):17-26.

[2[ Luukkonen T. Modelling and Control of Quadcopter, Aalto University, Espoo, Finland, 2011.

[3] Špinka O, Kroupa S, Hanzálek Z. Control system for unmanned aerial vehicles, 5th IEEE International Conference on Industrial Informatics (INDIN), Vienna, Austria, 2007, pp. 455–460.

[4]Tahir A, Böling J, Haghbayan MH, Toivonen HT, Plosila J. Swarms of unmanned aerial vehicles—a survey. Journal of Industrial Information Integration. 2019 Dec 1;16:100106.

[5]Thu KM, Gavrilov AI. Designing and modeling of quadcopter control system using L1 adaptive control. Procedia Computer Science. 2017 Jan 1;103:528-35.

[6] Vanin M. Quadrocopter Manual, KTH Royal Institute of Technology, 2014 .

[7]Navajas GT, Prada SR. Building your own quadrotor: A mechatronics system design case study. In2014 III International Congress of Engineering Mechatronics and Automation (CIIMA) 2014 Oct 22 (pp. 1-5). IEEE.

[8]Liu Y, Montenbruck JM, Stegagno P, Allgöwer F, Zell A. A robust nonlinear controller for nontrivial quadrotor maneuvers: Approach and verification. In2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015 Sep 28 (pp. 5410-5416). IEEE.

[9]Beck H, Lesueur J, Charland-Arcand G, Akhrif O, Gagné S, Gagnon F, Couillard D. Autonomous takeoff and landing of a quadcopter. In2016 international conference on unmanned aircraft systems (ICUAS) 2016 Jun 7 (pp. 475-484). IEEE.

[10]Asadpour M, Hummel KA, Giustiniano D, Draskovic S. Route or carry: Motion-driven packet forwarding in micro aerial vehicle networks. IEEE Transactions on Mobile Computing. 2016 May 3;16(3):843-56.

[11] Bouabdallah S, Murrieri P, Siegwart R. Design and control of an indoor micro quadrotor. InIEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA’04. 2004 2004 Apr 26 (Vol. 5, pp. 4393-4398). IEEE.

[12] Hetényi D, Gótzy M, Blázovics L. Sensor fusion with enhanced Kalman Filter for altitude control of quadrotors. In2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI) 2016 May 12 (pp. 413-418). IEEE.

[13] Grzonka S, Grisetti G, Burgard W. Towards a navigation system for autonomous indoor flying. In2009 IEEE international conference on Robotics and Automation 2009 May 12 (pp. 2878-2883). IEEE.

[14] Pfeifer E, Kassab Jr F. Dynamic feedback controller of an unmanned aerial vehicle. In2012 Brazilian Robotics Symposium and Latin American Robotics Symposium 2012 Oct 16 (pp. 261-266). IEEE.

[15] Shim DH, Sastry S. An evasive maneuvering algorithm for UAVs in see-and-avoid situations. In2007 American Control Conference 2007 Jul 9 (pp. 3886-3891). IEEE.

[16]Sundqvist J, Ekskog J, Dil BJ, Gustafsson F, Tordenlid J, Petterstedt M. Feasibility study on smartphone localization using mobile anchors in search and rescue operations. In2016 19th International Conference on Information Fusion (FUSION) 2016 Jul 5 (pp. 1448-1453). IEEE.

[17]Pearce C, Guckenberg M, Holden B, Leach A, Hughes R, Xie C, Hassett M, Adderley A, Barnes LE, Sherriff M, Lewin GC. Designing a spatially aware, automated quadcopter using an Android control system. In2014 Systems and Information Engineering Design Symposium (SIEDS) 2014 Apr 25 (pp. 23-28). IEEE.

[18]Lee GH, Fraundorfer F, Pollefeys M. RS-SLAM: RANSAC sampling for visual FastSLAM. In2011 IEEE/RSJ International Conference on Intelligent Robots and Systems 2011 Sep 25 (pp. 1655-1660). IEEE.

[19]Baek JY, Park SH, Cho BS, Lee MC. Position tracking system using single RGB-D Camera for evaluation of multi-rotor UAV control and self-localization. In2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2015 Jul 7 (pp. 1283-1288). IEEE.

[20]Achtelik M, Zhang T, Kuhnlenz K, Buss M. Visual tracking and control of a quadcopter using a stereo camera system and inertial sensors. In2009 International Conference on Mechatronics and Automation 2009 Aug 9 (pp. 2863-2869). IEEE.

[21]Blösch M, Weiss S, Scaramuzza D, Siegwart R. Vision based MAV navigation in unknown and unstructured environments. In2010 IEEE International Conference on Robotics and Automation 2010 May 3 (pp. 21-28). IEEE.

[22]Yang R, Wang X. Vision control system for quadcopter. In2013 IEEE third international conference on information science and technology (ICIST) 2013 Mar 23 (pp. 261-264). IEEE.

[23]Berrahal S, Kim JH, Rekhis S, Boudriga N, Wilkins D, Acevedo J. Unmanned aircraft vehicle assisted WSN-based border surveillance. In2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM) 2015 Sep 16 (pp. 132-137). IEEE.

[24]Shetti K, Vijayakumar A. Evaluation of compressive sensing encoding on ar drone. In2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) 2015 Dec 16 (pp. 204-207). IEEE.

[25]Andaluz VH, Chicaiza FA, Meythaler A, Rivas DR, Chuchico CP. Construction of a quadcopter for autonomous and teleoperated navigation. In2015 Conference on Design of Circuits and Integrated Systems (DCIS) 2015 Nov 25 (pp. 1-6). IEEE.

[26]Dasgupta R, Mukherjee R, Gupta A. A novel approach of sensor data retrieving using a quadcopter in wireless sensor network forming concentric circular topology. In2015 6th International Conference on Automation, Robotics and Applications (ICARA) 2015 Feb 17 (pp. 238-245). IEEE.

[27]Filatova ES, Devyatkin AV, Fridrix AI. UAV fuzzy logic stabilization system. In2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) 2017 May 24 (pp. 132-134). IEEE.

[28]Dunfied J, Tarbouchi M, Labonte G. Neural network based control of a four rotor helicopter. In2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT’04. 2004 Dec 8 (Vol. 3, pp. 1543-1548). IEEE.

[29]Schoellig AP, Mueller FL, D’andrea R. Optimization-based iterative learning for precise quadrocopter trajectory tracking. Autonomous Robots. 2012 Aug;33:103-27.

[30]Palunko I, Faust A, Cruz P, Tapia L, Fierro R. A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots. In2013 IEEE international conference on robotics and automation 2013 May 6 (pp. 4896-4901). IEEE.

[31]Wang W, Ma H, Sun CY. Control system design for multi-rotor mav. Journal of Theoretical and Applied Mechanics. 2013;51(4):1027-38.

[32]Jafari M, Shahri AM, Shouraki SB. Attitude control of a quadrotor using brain emotional learning based intelligent controller. In2013 13th Iranian Conference on Fuzzy Systems (IFSC) 2013 Aug 27 (pp. 1-5). IEEE.

[33]Öner KT, Çetinsoy E, Sirimoğlu EF, Hançer C, Ünel M, Akşit MF, Gülez K, Kandemir I. Mathematical modeling and vertical flight control of a tilt-wing UAV. Turkish Journal of Electrical Engineering and Computer Sciences. 2012;20(1):149-57.

[34]Paiva EA, Soto JC, Salinas JA, Ipanaqué W. Modeling and PID cascade control of a Quadcopter for trajectory tracking. In2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) 2015 Oct 28 (pp. 809-815). IEEE.

[35]Bouabdallah S, Siegwart R. Backstepping and sliding-mode techniques applied to an indoor micro quadrotor. InProceedings of the 2005 IEEE international conference on robotics and automation 2005 Apr 18 (pp. 2247-2252). IEEE.

[36]Carrillo LG, Dzul A, Lozano R. Hovering quad-rotor control: A comparison of nonlinear controllers using visual feedback. IEEE Transactions on Aerospace and Electronic Systems. 2012 Oct 8;48(4):3159-70.

[37] Abozaid MR. LQR Based a UAV Pitch Controller System Design. InThe Libyan Arab International Conference on Electrical and Electronic Engineering (LAICEEE) 2010.

[38]Nair MP, Harikumar R. Longitudinal dynamics control of UAV. In2015 International Conference on Control Communication & Computing India (ICCC) 2015 Nov 19 (pp. 30-35). IEEE.

[39]Emran BJ, Dias J, Seneviratne L, Cai G. Robust adaptive control design for quadcopter payload add and drop applications. In2015 34th Chinese Control Conference (CCC) 2015 Jul 28 (pp. 3252-3257). IEEE.

[40]Liu H, Xi J, Zhong Y. Robust motion control of quadrotors. Journal of the Franklin Institute. 2014 Dec 1;351(12):5494-510.

[41]Lee D, Zhou J, Lin WT. Autonomous battery swapping system for quadcopter. In2015 international conference on unmanned aircraft systems (ICUAS) 2015 Jun 9 (pp. 118-124). IEEE.

[42]Leonard J, Savvaris A, Tsourdos A. Energy management in swarm of unmanned aerial vehicles. Journal of Intelligent & Robotic Systems. 2014 Apr;74:233-50.

[43]Mulgaonkar Y, Cross G, Kumar V. Design of small, safe and robust quadrotor swarms. In2015 IEEE international conference on robotics and automation (ICRA) 2015 May 26 (pp. 2208-2215). IEEE.

[44]Vedder B, Eriksson H, Skarin D, Vinter J, Jonsson M. Towards collision avoidance for commodity hardware quadcopters with ultrasound localization. In2015 International Conference on Unmanned Aircraft Systems (ICUAS) 2015 Jun 9 (pp. 193-203). IEEE.

[45]Leonard J, Savvaris A, Tsourdos A. Towards a fully autonomous swarm of unmanned aerial vehicles. InProceedings of 2012 UKACC international conference on control 2012 Sep 3 (pp. 286-291). IEEE.

[46]Wallar A, Plaku E, Sofge DA. A planner for autonomous risk-sensitive coverage (PARCov) by a team of unmanned aerial vehicles. In2014 IEEE Symposium on Swarm Intelligence 2014 Dec 9 (pp. 1-7). IEEE.

[47]Pestana J, Sanchez-Lopez JL, de la Puente P, Carrio A, Campoy P. A vision-based quadrotor swarm for the participation in the 2013 international micro air vehicle competition. In2014 International Conference on Unmanned Aircraft Systems (ICUAS) 2014 May 27 (pp. 617-622). IEEE.

[48]Ma’Sum MA, Jati G, Arrofi MK, Wibowo A, Mursanto P, Jatmiko W. Autonomous quadcopter swarm robots for object localization and tracking. InMHS2013 2013 Nov 10 (pp. 1-6). IEEE.

[49]von Mammen S, Tomforde S, Höhner J, Lehner P, Förschner L, Hiemer A, Nicola M, Blickling P. OCbotics: an organic computing approach to collaborative robotic swarms. In2014 IEEE Symposium on Swarm Intelligence 2014 Dec 9 (pp. 1-8). IEEE.

[50]Niemoczynski B, Biswas S, Kollmer J, Ferrese F. Hovering synchronization of a fleet of quadcopters. In2014 7th International Symposium on Resilient Control Systems (ISRCS) 2014 Aug 19 (pp. 1-5). IEEE.

[51]Alvissalim MS, Zaman B, Hafizh ZA, Ma’sum MA, Jati G, Jatmiko W, Mursanto P. Swarm quadrotor robots for telecommunication network coverage area expansion in disaster area. In2012 Proceedings of SICE Annual Conference (SICE) 2012 Aug 20 (pp. 2256-2261). IEEE.

[52]de Souza BJ, Endler M. Coordinating movement within swarms of UAVs through mobile networks. In2015 IEEE International conference on pervasive computing and communication workshops (PerCom Workshops) 2015 Mar 23 (pp. 154-159). IEEE.

[53]Chen Y. Industrial information integration—A literature review 2006–2015. Journal of industrial information integration. 2016 Jun 1;2:30-64.

[54]Farahnakian F, Haghbayan MH, Poikonen J, Laurinen M, Nevalainen P, Heikkonen J. Object detection based on multi-sensor proposal fusion in maritime environment. In2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) 2018 Dec 17 (pp. 971-976). IEEE.

[55]Haghbayan MH, Farahnakian F, Poikonen J, Laurinen M, Nevalainen P, Plosila J, Heikkonen J. An efficient multi-sensor fusion approach for object detection in maritime environments. In2018 21st International Conference on Intelligent Transportation Systems (ITSC) 2018 Nov 4 (pp. 2163-2170). IEEE.

[56]Chen X, Tang J, Lao S. Review of unmanned aerial vehicle swarm communication architectures and routing protocols. Applied Sciences. 2020 May 25;10(10):3661.

[57] Liu X, Yin D, Zhou Y, Liu Z, Wang Y. Dispatching and management methods for communication of UAV swarm. InProceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications 2018 Mar 15 (pp. 61-67).

[58]Chmaj G, Selvaraj H. Distributed processing applications for UAV/drones: a survey. InProgress in Systems Engineering: Proceedings of the Twenty-Third International Conference on Systems Engineering 2015 (pp. 449-454). Springer International Publishing.

[59] Sun W, Tang M, Zhang L, Huo Z, Shu L. A survey of using swarm intelligence algorithms in IoT. Sensors. 2020 Mar 5;20(5):1420.

[60] Engebråten S, Glette K, Yakimenko O. Field-testing of high-level decentralized controllers for a multi-function drone swarm. In2018 IEEE 14th International Conference on Control and Automation (ICCA) 2018 Jun 12 (pp. 379-386). IEEE.

[61] Cook JA, Kolmanovsky IV, McNamara D, Nelson EC, Prasad KV. Control, computing and communications: technologies for the twenty-first century model T. Proceedings of the IEEE. 2007 Feb;95(2):334-55.

[62] Gupta L, Jain R, Vaszkun G. Survey of important issues in UAV communication networks. IEEE communications surveys & tutorials. 2015 Nov 3;18(2):1123-52.

[63] Wickboldt JA, De Jesus WP, Isolani PH, Both CB, Rochol J, Granville LZ. Software-defined networking: management requirements and challenges. IEEE Communications Magazine. 2015 Jan 16;53(1):278-85.

[64]Hayat S, Yanmaz E, Muzaffar R. Survey on unmanned aerial vehicle networks for civil applications: A communications viewpoint. IEEE Communications Surveys & Tutorials. 2016 Apr 29;18(4):2624-61.

[65] Ebeid E, Skriver M, Jin J. A survey on open-source flight control platforms of unmanned aerial vehicle. In2017 euromicro conference on digital system design (dsd) 2017 Aug 30 (pp. 396-402). IEEE.

[66] Zhang, L.; Estrin, D.; Burke, J.; Jacobson, V.; Thornton, J.D.; Smetters, D.K.; Zhang, B.; Tsudik, G.; Massey, D.; Papadopoulos, C.; et al. Named data networking (ndn) project. In Relatório Técnico NDN-0001; Xerox Palo Alto Research Center: Palo Alto, CA, USA, 2010; Volume 157, p. 158.

[67] Scherb C, Tschudin C. Smart execution strategy selection for multi tier execution in named function networking. In2018 IEEE International Conference on Communications Workshops (ICC Workshops) 2018 May 20 (pp. 1-6). IEEE.

[68] Marxer C, Scherb C, Tschudin C. Access-controlled in-network processing of named data. InProceedings of the 3rd ACM Conference on Information-Centric Networking 2016 Sep 26 (pp. 77-82).

[69] Scherb C, Grewe D, Wagner M, Tschudin C. Resolution strategies for networking the IoT at the edge via named functions. In2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) 2018 Jan 12 (pp. 1-6). IEEE.

[70] Król M, Psaras I. NFaaS: Named function as a service. InProceedings of the 4th ACM Conference on Information-Centric Networking 2017 Sep 26 (pp. 134-144).

[71] Marxer C, Tschudin C. Result Provenance in Named Function Networking. InProceedings of the 7th ACM Conference on Information-Centric Networking 2020 Sep 22 (pp. 24-29).

[72] Kumamoto Y, Yoshii H, Nakazato H. Real-world implementation of function chaining in named data networking for iot environments. In2020 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR) 2020 May 14 (pp. 1-6). IEEE.

[73] Gupta RA, Chow MY. Networked control system: Overview and research trends. IEEE transactions on industrial electronics. 2009 Nov 6;57(7):2527-35.

[74] Chen W, Liu B, Huang H, Guo S, Zheng Z. When UAV swarm meets edge-cloud computing: The QoS perspective. IEEE Network. 2019 Mar 27;33(2):36-43.

[75] Campion M, Ranganathan P, Faruque S. UAV swarm communication and control architectures: a review. Journal of Unmanned Vehicle Systems. 2018 Nov 29;7(2):93-106.

[76] Kim Y, Kim Y, Oh J, Ji H, Yeo J, Choi S, Ryu H, Noh H, Kim T, Sun F, Wang Y. New radio (NR) and its evolution toward 5G-advanced. IEEE Wireless Communications. 2019 Jun;26(3):2-7.

[77] Haxhibeqiri J, De Poorter E, Moerman I, Hoebeke J. A survey of LoRaWAN for IoT: From technology to application. Sensors. 2018 Nov 16;18(11):3995.

[78] Cui Q, Liu P, Wang J, Yu J. Brief analysis of drone swarms communication. In2017 IEEE International Conference on Unmanned Systems (ICUS) 2017 Oct 27 (pp. 463-466). IEEE.

[79] Mozaffari M, Saad W, Bennis M, Nam YH, Debbah M. A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. IEEE communications surveys & tutorials. 2019 Mar 5;21(3):2334-60.

[80] Cumino P, Maciel K, Tavares T, Oliveira H, Rosário D, Cerqueira E. Cluster-based control plane messages management in software-defined flying ad-hoc network. Sensors. 2019 Dec 21;20(1):67.

[81] Bekmezci I, Sen I, Erkalkan E. Flying ad hoc networks (FANET) test bed implementation. In2015 7th International conference on recent advances in space technologies (RAST) 2015 Jun 16 (pp. 665-668). IEEE.

[82] Rosário D, Arnaldo Filho J, Rosário D, Santosy A, Gerla M. A relay placement mechanism based on UAV mobility for satisfactory video transmissions. In2017 16th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net) 2017 Jun 28 (pp. 1-8). IEEE.

[83] Park P, Ergen SC, Fischione C, Lu C, Johansson KH. Wireless network design for control systems: A survey. IEEE Communications Surveys & Tutorials. 2017 Dec 6;20(2):978-1013.

[84] Macha Sarada D, Damodaram A. Review of 802.11 based Wireless Local Area Networks and Contemporary Standards: Features, Issues and Research Objectives. Glob. J. Comput. Sci. Technol. 2016;16.

[85] Furht B, Ahson SA, editors. Long Term Evolution: 3GPP LTE radio and cellular technology. Crc Press; 2016 Apr 19.

[86] Maral G, Bousquet M, Sun Z. Satellite communications systems: systems, techniques and technology. John Wiley & Sons; 2020 Apr 6.

[87] Andre T, Hummel KA, Schoellig AP, Yanmaz E, Asadpour M, Bettstetter C, Grippa P, Hellwagner H, Sand S, Zhang S. Application-driven design of aerial communication networks. IEEE Communications Magazine. 2014 May 19;52(5):129-37.

[88] Wei Z, Wu H, Huang S, Feng Z. Scaling laws of unmanned aerial vehicle network with mobility pattern information. IEEE Communications Letters. 2017 Feb 20;21(6):1389-92.

[89] Khuwaja AA, Chen Y, Zhao N, Alouini MS, Dobbins P. A survey of channel modeling for UAV communications. IEEE Communications Surveys & Tutorials. 2018 Jul 16;20(4):2804-21.

[90] Mahbub M. Uav assisted 5g het-net: A highly supportive technology for 5g nr network enhancement. EAI Endorsed Transactions on Internet of Things. 2020 Jul 16;6(22).

[91] Giannetti F, Luise M, Reggiannini R. Mobile and personal communications in the 60 GHz band: A survey. Wireless Personal Communications. 1999 Jul;10:207-43.

[92] Hemadeh IA, Satyanarayana K, El-Hajjar M, Hanzo L. Millimeter-wave communications: Physical channel models, design considerations, antenna constructions, and link-budget. IEEE Communications Surveys & Tutorials. 2017 Dec 14;20(2):870-913.

[93] Holis J, Pechac P. Elevation dependent shadowing model for mobile communications via high altitude platforms in built-up areas. IEEE Transactions on Antennas and Propagation. 2008 Apr 3;56(4):1078-84.

[94] Malik WQ, Allen B, Edwards DJ. Impact of bandwidth on small-scale fade depth. InIEEE GLOBECOM 2007-IEEE Global Telecommunications Conference 2007 Nov 26 (pp. 3837-3841). IEEE.

[95] Matolak DW, Sun R. Air–ground channel characterization for unmanned aircraft systems—Part III: The suburban and near-urban environments. IEEE Transactions on Vehicular Technology. 2017 Jan 26;66(8):6607-18.

[96]Khawaja W, Guvenc I, Matolak D. UWB channel sounding and modeling for UAV air-to-ground propagation channels. In2016 IEEE global communications conference (GLOBECOM) 2016 Dec 4 (pp. 1-7). IEEE.

[97] Cid EL, Alejos AV, Sanchez MG. Signaling through scattered vegetation: Empirical loss modeling for low elevation angle satellite paths obstructed by isolated thin trees. ieee vehicular technology magazine. 2016 Jul 29;11(3):22-8.

[98] Zhang S, Liew SC, Chen J. The capacity of known interference channel. IEEE Journal on Selected Areas in Communications. 2015 Mar 25;33(6):1241-52.

[99]Zhang C, Zhang W, Wang W, Yang L, Zhang W. Research challenges and opportunities of UAV millimeter-wave communications. IEEE Wireless Communications. 2019 Feb 13;26(1):58-62.

[100] Sultan Q, Khan MS, Cho YS. Fast 3D beamforming technique for millimeter-wave cellular systems with uniform planar arrays. IEEE Access. 2020 Jul 1;8:123469-82.

[101]Qiu Z, Chu X, Calvo-Ramirez C, Briso C, Yin X. Low altitude UAV air‐to‐ground channel measurement and modeling in Semiurban environments. Wireless Communications and Mobile Computing. 2017;2017(1):1587412.

[102]Mehrabi M, Lafond S, Wang L. Frame synchronization of live video streams using visible light communication. In2015 IEEE International Symposium on Multimedia (ISM) 2015 Dec 14 (pp. 128-131). IEEE.

[103]Chang T, Watteyne T, Pister K, Wang Q. Adaptive synchronization in multi-hop TSCH networks. Computer Networks. 2015 Jan 15;76:165-76.


Regular Issue Subscription Review Article
Volume 01
Issue 01
Received July 19, 2024
Accepted July 23, 2024
Published July 24, 2024