购买
下载掌阅APP,畅读海量书库
立即打开
畅读海量书库
扫码下载掌阅APP

本章参考文献

[1] Mozaffari M, Saad W, Bennis M, et al. Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage [J]. IEEE Communications Letters, 2016, 20(8):1647-1650.

[2] Orfanus D, Freitas E P D, Eliassen F.Self-organization as a supporting paradigm for military UAV relay networks [J]. IEEE Communications Letters, 2016, 20(4):804-807.

[3] Lyu J, Zeng Y, Zhang R.Cyclical multiple access in UAV-aided communications: a throughput-delay tradeoff [J]. IEEE Wireless Communications Letters, 2016, 5(6):600-603.

[4] Erdelj M, Natalizio E, Chowdhury K R, et al. Help from the sky: leveraging UAVs for disaster management [J]. IEEE Pervasive Computing, 2017, 16(1):24-32.

[5] Wu Q, Mei W, Zhang R.Safeguarding wireless network with UAVs: a physical layer security perspective [J]. IEEE Wireless Communications, 2019, 26(5):12-18.

[6] Zeng Y, Guvenc I, Zhang R, et al. UAV communications for 5G and beyond [M]. New Jersey:John Wiley & Sons, 2020.

[7] Zhou F, Wu Y, Hu R Q, et al. Computation rate maximization in UAV-enabled wireless-powered mobile-edge computing systems [J]. IEEE Journal on Selected Areas in Communications, 2018, 36(9):1927-1941.

[8] Jeong S, Simeone O, Kang J.Mobile edge computing via a UAV-mounted cloudlet: optimization of bit allocation and path planning [J]. IEEE Transactions on Vehicular Technology, 2017, 67(3):2049-2063.

[9] Cao X, Xu J, Zhang R.Mobile edge computing for cellular-connected UAV:computation offloading and trajectory optimization [C]. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kalamata, 2018.

[10] Messous M A, Sedjelmaci H, Houari N, et al. Computation offloading game for an UAV network in mobile edge computing [C]. 2017 IEEE International Conference on Communications (ICC), Paris, 2017.

[11] Wu Q, Liu L, Zhang R.Fundamental trade-offs in communication and trajectory design for UAV-enabled wireless network [J]. IEEE Wireless Communications, 2019, 26(1):36-44.

[12] Di Franco C, Buttazzo G.Energy-aware coverage path planning of UAVs [C]. 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, Vila Real, 2015.

[13] Richards A, How J P.Aircraft trajectory planning with collision avoidance using mixed integer linear programming [C]. Proceedings of the 2002 American Control Conference (IEEE Cat. No. CH37301), Anchorage, 2002.

[14] Ma C S, Miller R H.MILP optimal path planning for real-time applications [C]. 2006 American Control Conference, Minneapolis, 2006.

[15] Grøtli E I, Johansen T A.Path planning for UAVs under communication constraints using SPLAT!and MILP [J]. Journal of Intelligent & Robotic Systems, 2012, 65(1):265-282.

[16] Eom S, Lee H, Park J, et al. UAV-aided wireless communication designs with propulsion energy limitations [J]. IEEE Transactions on Vehicular Technology, 2019, 69(1):651-662.

[17] Rappaport T S, Jr R W H, Daniels R C, et al. Millimeter Wave Wireless Communications [M]. New Jersey:Prentice Hall, 2015.

[18] Altshuler E.A simple expression for estimating attenuation by fog at millimeter wavelengths [J]. IEEE Transactions on Antennas and Propagation, 1984, 32(7):757-758.

[19] Edrich M, Schmalenberger R.Combined DSSS/FHSS approach to interference rejection and navigation support in UAV communications and control [C]. IEEE Seventh International Symposium on Spread Spectrum Techniques and Applications, Prague, 2002.

[20] Todorovic B M, Orlic V D.Direct sequence spread spectrum scheme for an unmanned aerial vehicle PPM control signal protection [J]. IEEE Communications Letters, 2009, 13(10):727-729.

[21] Venosa E, Vermeire B, Alakija C, et al. Non-maximally decimated filter banks enable adaptive frequency hopping for unmanned aircraft vehicles [C]. 2016 Integrated Communications Navigation and Surveillance (ICNS), Herndon, 2016.

[22] Zhi R, Zhang L, Zhou Z.Cognitive frequency hopping [C]. 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008), Singapore, 2008.

[23] Guan L, Li Z, Hao B, et al. Cognitive frequency hopping sequences [J]. Chinese Journal of Electronics, 2016, 25(1):185-191.

[24] Luby M.LT codes [C]//2002 The 43rd Annual IEEE Symposium on Foundations of Computer Science Proceedings. IEEE Computer Society, 2002:271-271.

[25] Wu K, Zhang Z, Chen S.Rateless multiple access over erasure channel [C]. 2010 IEEE 71st Vehicular Technology Conference, Taiwan, 2010.

[26] Wu K, Zhang Z, Chen S.Rateless multiple access over noisy channel [C]. Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, Caen, 2010.

[27] Zhu Y, Huang Q, Li J, et al. Design and evaluation of airborne communication networks [C]. 2015 Seventh International Conference on Ubiquitous and Future Networks, Sapporo, 2015.

[28] Wang C, Wang L, Qin J, et al. Path planning of automated guided vehicles based on improved A-Star algorithm [C]. 2015 IEEE International Conference on Information and Automation, Lijiang, 2015.

[29] Kavraki L E, Svestka P, Latombe J C, et al. Probabilistic roadmaps for path planning in high-dimensional configuration spaces [J]. IEEE transactions on Robotics and Automation, 1996, 12(4):566-580.

[30] Kitamura Y, Tanaka T, Kishino F, et al.3D path planning in a dynamic environment using an octree and an artificial potential field [C]. Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots, Pittsburgh, 1995.

[31] Wang B, Wu Y, Liu K J R, et al. An anti-jamming stochastic game for cognitive radio networks [J]. IEEE Journal on Selected Areas in Communications, 2011, 29(4):877-889.

[32] Xiao L, Chen T, Liu J, et al. Anti-jamming transmission Stackelberg game with observation errors [J]. IEEE Communications Letters, 2015, 19(6):949-952.

[33] Jia L, Yao F, Sun Y, et al. A hierarchical learning solution for anti-jamming Stackelberg game with discrete power strategies [J]. IEEE Wireless Communications Letters, 2017, 6(6):818-821.

[34] Han G, Xiao L, Poor H V.Two-dimensional anti-jamming communication based on deep reinforcement learning [C]. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, 2017. fwsjKQw6jx2yPieUDKi3WmSJveTwBtrzH9a63SKdeOuuNOP97yaVNbIk/2WL0/kX

点击中间区域
呼出菜单
上一章
目录
下一章
×