高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于联盟的6G无人机通信网络优化概述

陈润丰 陈瑾 李虹 初晓婧 刘典雄 张玉立 徐煜华

陈润丰, 陈瑾, 李虹, 初晓婧, 刘典雄, 张玉立, 徐煜华. 基于联盟的6G无人机通信网络优化概述[J]. 电子与信息学报, 2022, 44(9): 3126-3135. doi: 10.11999/JEIT220383
引用本文: 陈润丰, 陈瑾, 李虹, 初晓婧, 刘典雄, 张玉立, 徐煜华. 基于联盟的6G无人机通信网络优化概述[J]. 电子与信息学报, 2022, 44(9): 3126-3135. doi: 10.11999/JEIT220383
CHEN Runfeng, CHEN Jin, LI Hong, CHU Xiaojing, LIU Dianxiong, ZHANG Yuli, XU Yuhua. Survey on Optimizations in Coalitions-based Unmanned Aerial Vehicle Communication Networks for 6G Networks[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3126-3135. doi: 10.11999/JEIT220383
Citation: CHEN Runfeng, CHEN Jin, LI Hong, CHU Xiaojing, LIU Dianxiong, ZHANG Yuli, XU Yuhua. Survey on Optimizations in Coalitions-based Unmanned Aerial Vehicle Communication Networks for 6G Networks[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3126-3135. doi: 10.11999/JEIT220383

基于联盟的6G无人机通信网络优化概述

doi: 10.11999/JEIT220383
基金项目: 国家自然科学基金(61771488, 61901506, 62101584)
详细信息
    作者简介:

    陈润丰:男,博士生,研究方向为无人系统用频和大规模网络资源优化

    陈瑾:女,教授,研究方向为短波通信

    李虹:女,高级工程师,研究方向为无线通信

    初晓婧:女,讲师,研究方向为无线通信

    刘典雄:男,工程师,研究方向为集群通信

    张玉立:男,助理研究员,研究方向为博弈论和频谱资源管理

    徐煜华:男,教授,研究方向为无人集群通信和智能频谱对抗

    通讯作者:

    陈瑾 chenjin99@263.net

  • 中图分类号: TN929.52; V279

Survey on Optimizations in Coalitions-based Unmanned Aerial Vehicle Communication Networks for 6G Networks

Funds: The National Natural Science Foundation of China (61771488, 61901506, 62101584)
  • 摘要: 随着6G网络和无人机(UAV)技术的迅猛发展,无人机通信网络将成为6G空天地一体化网络融合的关键组成部分,在战场侦查、野外救援和物联网信息传输等民用和军用领域发挥重要作用。针对无人机群大规模、高动态和自组织等特性,以6G网络任务驱动为出发点,该文提出基于联盟的6G无人机通信网络优化框架。围绕联盟形成、联盟任务实施和联盟资源管理对无人机联盟工作原理展开论述。结合博弈论、机器学习和在线决策,给出了无人机通信网络资源优化方法和仿真示例。最后,对6G无人机通信网络的应用前景和亟需解决的问题进行了开放性讨论。
  • 图  1  无人机联盟通信网络示意图

    图  2  无人机联盟通信网络模型框架图

    图  3  无人机联盟网络调整示意图

    图  4  无人机联盟通信网络频谱资源管理

    图  5  基于博弈学习的人工智能优化框架

    图  6  无人机联盟通信组网仿真示意图

    图  7  博弈学习算法仿真示意图

  • [1] 赵亚军, 郁光辉, 徐汉青. 6G移动通信网络: 愿景、挑战与关键技术[J]. 中国科学:信息科学, 2019, 49(8): 963–987. doi: 10.1360/N112019-00033

    ZHAO Yajun, YU Guanghui, and XU Hanqing. 6G mobile communication networks: Vision, challenges, and key technologies[J]. Science in China:Information Sciences, 2019, 49(8): 963–987. doi: 10.1360/N112019-00033
    [2] 张平, 牛凯, 田辉, 等. 6G移动通信技术展望[J]. 通信学报, 2019, 40(1): 141–148. doi: 10.11959/j.issn.1000-436x.2019022

    ZHANG Ping, NIU Kai, TIAN Hui, et al. Technology prospect of 6G mobile communications[J]. Journal on Communications, 2019, 40(1): 141–148. doi: 10.11959/j.issn.1000-436x.2019022
    [3] 赛迪智库无线管理研究所. 6G概念及愿景白皮书[N]. 中国计算机报, 2020-05-11(08).
    [4] 江坤全, 张素杰, 张海君, 等. 无人机辅助的6G智能网络[J]. 人工智能, 2021(4): 118–126. doi: 10.16453/j.cnki.ISSN2096-5036.2021.04.011

    JIANG Kunquan, ZHANG Sujie, ZHANG Haijun, et al. UAV-assisted 6G intelligent networks[J]. Artificial Intelligence, 2021(4): 118–126. doi: 10.16453/j.cnki.ISSN2096-5036.2021.04.011
    [5] ZHANG Shuhang, ZHANG Hongliang, and SONG Lingyang. Beyond D2D: Full dimension UAV-to-everything communications in 6G[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 6592–6602. doi: 10.1109/TVT.2020.2984624
    [6] ZENG Yong, ZHANG Rui, and LIM T J. Wireless communications with unmanned aerial vehicles: Opportunities and challenges[J]. IEEE Communications Magazine, 2016, 54(5): 36–42. doi: 10.1109/MCOM.2016.7470933
    [7] MOZAFFARI M, SAAD W, BENNIS M, et al. A tutorial on UAVs for wireless networks: Applications, challenges, and open problems[J]. IEEE Communications Surveys & Tutorials, 2019, 21(3): 2334–2360. doi: 10.1109/COMST.2019.2902862
    [8] 陈新颖, 盛敏, 李博, 等. 面向6G的无人机通信综述[J]. 电子与信息学报, 2022, 44(3): 781–789. doi: 10.11999/JEIT210789

    CHEN Xinying, SHENG Min, LI Bo, et al. Survey on unmanned aerial vehicle communications for 6G[J]. Journal of Electronics &Information Technology, 2022, 44(3): 781–789. doi: 10.11999/JEIT210789
    [9] ZHAO Nan, LU Weidang, SHENG Min, et al. UAV-assisted emergency networks in disasters[J]. IEEE Wireless Communications, 2019, 26(1): 45–51. doi: 10.1109/MWC.2018.1800160
    [10] BEKMEZCI İ, SAHINGOZ O K, and TEMEL Ş. Flying Ad-Hoc networks (FANETs): A survey[J]. Ad Hoc Networks, 2013, 11(3): 1254–1270. doi: 10.1016/j.adhoc.2012.12.004
    [11] CHEN Mingzhe, CHALLITA U, SAAD W, et al. Artificial neural networks-based machine learning for wireless networks: A tutorial[J]. IEEE Communications Surveys & Tutorials, 2019, 21(4): 3039–3071. doi: 10.1109/COMST.2019.2926625
    [12] WANG Ximing, XU Yuhua, CHEN Chaohui, et al. Machine learning empowered spectrum sharing in intelligent unmanned swarm communication systems: Challenges, requirements and solutions[J]. IEEE Access, 2020, 8: 89839–89849. doi: 10.1109/ACCESS.2020.2994198
    [13] 游文静, 董超, 吴启晖. 大规模无人机自组网分层体系架构研究综述[J]. 计算机科学, 2020, 47(9): 226–231. doi: 10.11896/jsjkx.190900164

    YOU Wenjing, DONG Chao, and WU Qihui. Survey of layered architecture in large-scale FANETs[J]. Computer Science, 2020, 47(9): 226–231. doi: 10.11896/jsjkx.190900164
    [14] 张天魁, 陈超, 王子端, 等. 无人机辅助蜂窝网络中的无人机与用户协同缓存算法[J]. 通信学报, 2020, 41(9): 130–138. doi: 10.11959/j.issn.1000-436x.2020029

    ZHANG Tiankui, CHEN Chao, WANG Ziduan, et al. Cooperative caching algorithm of UAV and user in UAV-assisted cellular network[J]. Journal on Communications, 2020, 41(9): 130–138. doi: 10.11959/j.issn.1000-436x.2020029
    [15] MKIRAMWENI M E, YANG Chungang, LI Jiandong, et al. Game-theoretic approaches for wireless communications with unmanned aerial vehicles[J]. IEEE Wireless Communications, 2018, 25(6): 104–112. doi: 10.1109/MWC.2017.1700250
    [16] LI Chunguo, ZHANG Shengli, LIU Peng, et al. Yang. Overhearing protocol design exploiting intercell interference in cooperative green networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(1): 441–446. doi: 10.1109/TVT.2015.2389826
    [17] WANG Ximing, WANG Jinlong, XU Yuhua, et al. Dynamic spectrum anti-jamming communications: Challenges and opportunities[J]. IEEE Communications Magazine, 2020, 58(2): 79–85. doi: 10.1109/MCOM.001.1900530
    [18] 王云哲, 徐国宁, 王生, 等. 蜂群无人机充电排队优化方法[J]. 航空学报, 2020, 41(10): 323928. doi: 10.7527/S1000-6893.2020.23928

    WANG Yunzhe, XU Guoning, WANG Sheng, et al. Optimization of charging queuing of UAV swarming[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(10): 323928. doi: 10.7527/S1000-6893.2020.23928
    [19] ZHANG Qixun, JIANG Menglei, FENG Zhiyong, et al. IoT enabled UAV: Network architecture and routing algorithm[J]. IEEE Internet of Things Journal, 2019, 6(2): 3727–3742. doi: 10.1109/JIOT.2018.2890428
    [20] ZHOU Fuhui, WU Yongpeng, 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. doi: 10.1109/JSAC.2018.2864426
    [21] HU Qiyu, CAI Yunlong, YU Guanding, et al. Joint offloading and trajectory design for UAV-enabled mobile edge computing systems[J]. IEEE Internet of Things Journal, 2019, 6(2): 1879–1892. doi: 10.1109/JIOT.2018.2878876
    [22] ZHANG Chiya and ZHANG Wei. Spectrum sharing for drone networks[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(1): 136–144. doi: 10.1109/JSAC.2016.2633040
    [23] KHUWAJA A A, CHEN Yunfei, ZHAO Nan, et al. Dobbins. A survey of channel modeling for UAV communications[J]. IEEE Communications Surveys & Tutorials, 2018, 20(4): 2804–2821. doi: 10.1109/COMST.2018.2856587
    [24] LIU Dianxiong, XU Yuhua, WANG Jinlong, et al. Opportunistic UAV utilization in wireless networks: Motivations, applications, and challenges[J]. IEEE Communications Magazine, 2020, 58(5): 62–68. doi: 10.1109/MCOM.001.1900687
    [25] ZHANG Yuli, XU Yuhua, WU Qihui, et al. Context awareness group buying in D2D networks: A coalition formation game-theoretic approach[J]. IEEE Transactions on Vehicular Technology, 2018, 67(12): 12259–12272. doi: 10.1109/TVT.2018.2875463
    [26] XU Yuhua, WANG Jinlong, WU Qihui, et al. Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games[J]. IEEE Journal of Selected Topics in Signal Processing, 2012, 6(2): 180–194. doi: 10.1109/JSTSP.2011.2176916
    [27] AREL I, ROSE D C, and KARNOWSKI T P. Deep machine learning - a new frontier in artificial intelligence research [Research Frontier][J]. IEEE Computational Intelligence Magazine, 2010, 5(4): 13–18. doi: 10.1109/MCI.2010.938364
    [28] PAN S J and YANG Qiang. A survey on transfer learning[J]. IEEE Transactions on Knowledge and Data Engineering, 2010, 22(10): 1345–1359. doi: 10.1109/TKDE.2009.191
    [29] RUAN Lang, CHEN Jin, GUO Qiuju, et al. A coalition formation game approach for efficient cooperative multi-UAV deployment[J]. Applied Sciences, 2018, 8(12): 2427. doi: 10.3390/app8122427
    [30] CHEN Runfeng, CUI Li, WANG Meng, et al. Joint computation offloading, channel access and scheduling optimization in UAV swarms: A game-theoretic learning approach[J]. IEEE Open Journal of the Computer Society, 2021, 2: 308–320. doi: 10.1109/OJCS.2021.3100870
    [31] 沈学民, 承楠, 周海波, 等. 空天地一体化网络技术: 探索与展望[J]. 物联网学报, 2020, 4(3): 3–19. doi: 10.11959/j.issn.2096-3750.2020.00142

    SHEN Xuemin, CHENG Nan, ZHOU Haibo, et al. Space-air-ground integrated networks: Review and prospect[J]. Chinese Journal on Internet of Things, 2020, 4(3): 3–19. doi: 10.11959/j.issn.2096-3750.2020.00142
  • 加载中
图(7)
计量
  • 文章访问数:  270
  • HTML全文浏览量:  124
  • PDF下载量:  110
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-04-01
  • 修回日期:  2022-06-29
  • 网络出版日期:  2022-07-04
  • 刊出日期:  2022-09-19

目录

    /

    返回文章
    返回