[1] |
梁云杰 . “断路断电断网”等极端条件下应急通信保障对策[J]. 消防科学与技术, 2021,40(3): 449-452.
|
|
LIANG Y J . Countermeasures of emergency communication guarantees under extreme situations as road disruption,power failure and network disconnection[J. Fire Science and Technology, 2021,40(3): 449-452.
|
[2] |
宽带集群(B-TrunC)产业联盟. LTE宽带集群通信(B-TrunC)技术白皮书[R]. 2016.
|
|
Broadband Trunking Communication Industry Alliance. LTE broadband trunking communication (B-TrunC) technology white paper[R. 2016.
|
[3] |
CHENG N , LYU F , QUAN W ,et al. Space/aerial-assisted computing offloading for IoT applications:a learning-based approach[J]. IEEE Journal on Selected Areas in Communications, 2019,37(5): 1117-1129.
|
[4] |
LYU F , YANG P , WU H Q ,et al. Service-oriented dynamic resource slicing and optimization for space-air-ground integrated vehicular networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2022,23(7): 7469-7483.
|
[5] |
王文宁, 刘涛, 杜萍 ,等. 面向洪灾全生命周期的应急场景模型[J]. 测绘科学, 2018,43(12): 44-49.
|
|
WANG W N , LIU T , DU P ,et al. Emergency scenario model for life cycle flood disaster[J. Science of Surveying and Mapping, 2018,43(12): 44-49.
|
[6] |
HUANG Z R , CHEN C C , PAN M X . Multiobjective UAV path planning for emergency information collection and transmission[J]. IEEE Internet of Things Journal, 2020,7(8): 6993-7009.
|
[7] |
SHEN S , YANG K , WANG K Z ,et al. Number and operation time minimization for multi-UAV-enabled data collection system with time windows[J]. IEEE Internet of Things Journal, 2022,9: 10149-10161.
|
[8] |
DAI X H , DUO B , YUAN X J ,et al. Energy-efficient UAV communications:a generalized propulsion energy consumption model[J]. IEEE Wireless Communications Letters, 2022,11(10): 2150-2154.
|
[9] |
ZHAN C , HUANG R J . Energy efficient adaptive video streaming with rotary-wing UAV[J]. IEEE Transactions on Vehicular Technology, 2020,69(7): 8040-8044.
|
[10] |
KYRKOU C , THEOCHARIDES T . EmergencyNet:efficient aerial image classification for drone-based emergency monitoring using atrous convolutional feature fusion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020,13: 1687-1699.
|
[11] |
WEI Q , WANG L , XU L M ,et al. Hierarchical coded caching for multiscale content sharing in heterogeneous vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2022,71(6): 5770-5786.
|
[12] |
JIANG C X , ZHANG H J , REN Y ,et al. Machine learning paradigms for next-generation wireless networks[J]. IEEE Wireless Communications, 2017,24(2): 98-105.
|
[13] |
DUAN S J , WANG D , REN J ,et al. Distributed artificial intelligence empowered by end-edge-cloud computing:a survey[J]. IEEE Communications Surveys & Tutorials, 2023,25(1): 591-624.
|
[14] |
SHI Y M , YANG K , JIANG T ,et al. Communication-efficient edge AI:algorithms and systems[J]. IEEE Communications Surveys & Tutorials, 2020,22(4): 2167-2191.
|
[15] |
PHILLIPS C , SICKER D , GRUNWALD D . A survey of wireless path loss prediction and coverage mapping methods[J]. IEEE Communications Surveys & Tutorials, 2013,15(1): 255-270.
|
[16] |
KHAWAJA W , GUVENC I , MATOLAK D W ,et al. A survey of air-to-ground propagation channel modeling for unmanned aerial vehicles[J]. IEEE Communications Surveys & Tutorials, 2019,21(3): 2361-2391.
|
[17] |
AHMADIPOUR M , KOBAYASHI M , WIGGER M ,et al. An information-theoretic approach to joint sensing and communication[J]. arXiv Preprint,arXiv:2107.14264, 2021.
|
[18] |
KOBAYASHI M , CAIRE G , KRAMER G . Joint state sensing and communication:optimal tradeoff for a memoryless case[C]// Proceedings of 2018 IEEE International Symposium on Information Theory (ISIT). Piscataway:IEEE Press, 2018: 111-115.
|
[19] |
LOHAN E S , KOIVISTO M , GALININA O ,et al. Benefits of positioning-aided communication technology in high-frequency industrial IoT[J]. IEEE Communications Magazine, 2018,56(12): 142-148.
|
[20] |
GHATAK G , KOIRALA R , DOMENICO A D ,et al. Beamwidth optimization and resource partitioning scheme for localization assisted mm-wave communication[J]. IEEE Transactions on Communications, 2021,69(2): 1358-1374.
|
[21] |
王莉, 魏青, 徐连明 ,等. 面向通信-导航-感知一体化的应急无人机网络低能耗部署研究[J]. 通信学报, 2022,43(7): 1-20.
|
|
WANG L , WEI Q , XU L M ,et al. Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing[J. Journal on Communications, 2022,43(7): 1-20.
|
[22] |
GARGEES R , MORAGO B , PELAPUR R ,et al. Incident-supporting visual cloud computing utilizing software-defined networking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017,27(1): 182-197.
|
[23] |
LIU X , LI Y , CHEN H H . Wireless resource scheduling based on backoff for multiuser multiservice mobile cloud computing[J]. IEEE Transactions on Vehicular Technology, 2016,65(11): 9247-9259.
|
[24] |
LEE G , SAAD W , BENNIS M . An online secretary framework for fog network formation with minimal latency[C]// Proceedings of 2017 IEEE International Conference on Communications (ICC). Piscataway:IEEE Press, 2017: 1-6.
|
[25] |
TIAN B , WANG L , AI Y ,et al. Reinforcement learning based matching for computation offloading in D2D communications[C]// Proceedings of 2019 IEEE/CIC International Conference on Communications in China (ICCC). Piscataway:IEEE Press, 2019: 984-988.
|
[26] |
CHEN Y Y , WANG L , MA R Q ,et al. Cooperative full duplex content sensing and delivery improves the offloading probability of D2D caching[J]. IEEE Access, 2019,7: 29076-29084.
|
[27] |
WANG L , WU H Q , STüBER G L . Cooperative jamming-aided secrecy enhancement in P2P communications with social interaction constraints[J]. IEEE Transactions on Vehicular Technology, 2017,66(2): 1144-1158.
|
[28] |
WU H Q , CHEN J Y , XU W C ,et al. Delay-minimized edge caching in heterogeneous vehicular networks:a matching-based approach[J]. IEEE Transactions on Wireless Communications, 2020,19(10): 6409-6424.
|
[29] |
WANG L , WU H Q , HAN Z ,et al. Multi-hop cooperative caching in social IoT using matching theory[J]. IEEE Transactions on Wireless Communications, 2018,17(4): 2127-2145.
|
[30] |
WU H Q , LYU F , ZHOU C H ,et al. Optimal UAV caching and trajectory in aerial-assisted vehicular networks:a learning-based approach[J]. IEEE Journal on Selected Areas in Communications, 2020,38(12): 2783-2797.
|
[31] |
WU J , WANG J Z , CHEN Q M ,et al. Resource allocation for delay-sensitive vehicle-to-multi-edges (V2Es) communications in vehicular networks:a multi-agent deep reinforcement learning approach[J]. IEEE Transactions on Network Science and Engineering, 2021,8(2): 1873-1886.
|
[32] |
ZHANG L , SUN Y P , CHEN Z Y ,et al. Communications-caching-computing resource allocation for bidirectional data computation in mobile edge networks[J]. IEEE Transactions on Communications, 2021,69(3): 1496-1509.
|
[33] |
DANG T , PENG M G . Joint radio communication,caching,and computing design for mobile virtual reality delivery in fog radio access networks[J]. IEEE Journal on Selected Areas in Communications, 2019,37(7): 1594-1607.
|
[34] |
LI L , SHI D , HOU R H ,et al. Energy-efficient proactive caching for adaptive video streaming via data-driven optimization[J]. IEEE Internet of Things Journal, 2020,7(6): 5549-5561.
|
[35] |
WANG L , AI Y T , LIU N N ,et al. User association and resource allocation in full-duplex relay aided NOMA systems[J]. IEEE Internet of Things Journal, 2019,6(6): 10580-10596.
|
[36] |
WANG L , GUAN M L , AI Y T ,et al. Beamforming-aided NOMA expedites collaborative multiuser computational offloading[J]. IEEE Transactions on Vehicular Technology, 2018,67(10): 10027-10032.
|
[37] |
MA R Q , WANG L , CHEN Y Y ,et al. Enabling edge caching through full-duplex non-orthogonal multiple access[J]. IEEE Transactions on Vehicular Technology, 2020,69(10): 12338-12342.
|
[38] |
WU X , HONG D F , TIAN J J ,et al. ORSIm detector:a novel object detection framework in optical remote sensing imagery using spatial-frequency channel features[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019,57(7): 5146-5158.
|
[39] |
WU X , HONG D F , CHANUSSOT J . UIU-net:U-net in U-net for infrared small object detection[J]. IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society, 2022,32: 364-376.
|
[40] |
WU X , HONG D F , CHANUSSOT J . Convolutional neural networks for multimodal remote sensing data classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022,60: 1-10.
|
[41] |
REN J K , YU G D , HE Y H ,et al. Collaborative cloud and edge computing for latency minimization[J]. IEEE Transactions on Vehicular Technology, 2019,68(5): 5031-5044.
|
[42] |
LIU N , MA X L , XU Z Y ,et al. AutoCompress:an automatic DNN structured pruning framework for ultra-high compression rates[C]// Proceedings of the AAAI Conference on Artificial Intelligence. Palo Alto:AAAI Press, 2020: 4876-4883.
|
[43] |
ZHANG Y , LIN Z , JIANG J ,et al. Deeper insights into weight sharing in neural architecture search[J]. arXiv Preprint,arXiv:2001.01431, 2020.
|
[44] |
HOWARD A G , ZHU M , CHEN B ,et al. MobileNets:efficient convolutional neural networks for mobile vision applications[J]. arXiv Preprint,arXiv:1704.04861, 2017.
|
[45] |
ZHANG X Y , ZHOU X Y , LIN M X ,et al. ShuffleNet:an extremely efficient convolutional neural network for mobile devices[C]// Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE Press, 2018: 6848-6856.
|
[46] |
HAN K , WANG Y H , TIAN Q ,et al. GhostNet:more features from cheap operations[C]// Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Piscataway:IEEE Press, 2020: 1577-1586.
|
[47] |
LI L , SHI D , HOU R H ,et al. To talk or to work:flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices[C]// Proceedings of IEEE Conference on Computer Communications. Piscataway:IEEE Press, 2021: 1-10.
|
[48] |
ZHANG L T , CHEN L X , XU J . Autodidactic neurosurgeon:collaborative deep inference for mobile edge intelligence via online learning[C]// Proceedings of the Web Conference. New York:ACM Press, 2021: 3111-3123.
|
[49] |
ESHRATIFAR A E , ABRISHAMI M S , PEDRAM M . JointDNN:an efficient training and inference engine for intelligent mobile cloud computing services[J]. IEEE Transactions on Mobile Computing, 2021,20(2): 565-576.
|