Computer Science ›› 2022, Vol. 49 ›› Issue (9): 236-241.doi: 10.11896/jsjkx.220400148
• Computer Network • Previous Articles Next Articles
LIU Xing-guang, ZHOU Li, LIU Yan, ZHANG Xiao-ying, TAN Xiang, WEI Ji-bo
CLC Number:
[1]XIA H Y,ZHA S,HUANG J J,et al.Survey on the Construction Methods of Spectrum Map[J].Chinese Journal of Radio Science,2020,35(4):12. [2]KATAGIRI K,FUJII T.Mesh-Clustering-Based Radio MapsConstruction for Autonomous Distributed Networks[C]//2021 Twelfth International Conference on Ubiquitous and Future Networks(ICUFN).IEEE,2021:345-349. [3]BEDNAREK P,ŁOPATKA J,BICKI D.Radio environmentmap for the cognitive radio network simulator[J].International Journal of Electronics and Telecommunications,2018,64(1):45-49. [4]EZZATI N,TAHERI H.Distributed spectrum sensing in rembased cognitive radio networks[J].Journal of Modeling in Engineering,2019,17(56):223-233. [5]KANIEWSKI P,ROMANIK J,GOLAN E,et al.SpectrumAwareness for Cognitive Radios Supported by Radio Environment Maps:Zonal Approach[J].Applied Sciences,2021,11(7):2910. [6]SANTANA Y H,PLETS D,ALONSO R M,et al.Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform[J].Wireless Communications and Mobile Computing,2019,2019(1):1-13. [7]YIN L,LUO J,LUO H.Tasks scheduling and resource allocation in fog computing based on containers for smart manufactu-ring[J].IEEE Transactions on Industrial Informatics,2018,14(10):4712-4721. [8]KIBRIA M G,NGUYEN K,VILLARDI G P,et al.Big dataanalytics,machine learning,and artificial intelligence in next-generation wireless networks[J].IEEE Access,2018,6:32328-32338. [9]ATAWIA R,HASSANEIN H S,ALI N A,et al.Utilization of stochastic modeling for green predictive video delivery under network uncertainties[J].IEEE Transactions on Green Communications and Networking,2018,2(2):556-569. [10]LI M S,GAO J,ZHAO L,et al.Deep reinforcement learning for collaborative edge computing in vehicular networks[J].IEEE Transactions on Cognitive Communications and Networking,2020,6(4):1122-1135. [11]SHI W,CAO J,ZHANG Q,et al.Edge computing:Vision and challenges[J].IEEE Internet of Things Journal,2016,3(5):637-646. [12]KHORAMNEJAD F,EROL-KANTARCI M.On Joint Offloa-ding and Resource Allocation:A Double Deep Q-Network Approach[J].IEEE Transactions on Cognitive Communications and Networking,2021,7(4):1126-1141. [13]QU Y B,DONG C,ZHENG J C,et al.Empowering Edge Intelligence by Air-Ground Integrated Federated Learning[J].IEEE Network,2021,35(5):34-41. [14]LIU Z C,ZHAO Y F,SONG J D,et al.Learn to Coordinate for Computation Offloading and Resource Allocation in Edge Computing:A Rational-based Distributed Approach[J].IEEE Transactions on Network Science and Engineering,2021,1(1):1-15. [15]CHOWDAPPA V P,BOTELLA C,SAMPER-ZAPATER J J,et al.Distributed radio map reconstruction for 5G automotive[J].IEEE Intelligent Transportation Systems Magazine,2018,10(2):36-49. [16]SERGEEV A P,TARASOV D A,BUEVICH A G,et al.High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging[J].AIP Conference Proceedings,2017,1836(1):020023. [17]DENG Y B,ZHOU L,WANG L,et al.Radio environment map construction using super-resolution imaging for intelligent transportation systems[J].IEEE Access,2020,8:47272-47281. [18]DU J,YU F R,LU G,et al.MEC-assisted immersive VR video streaming over terahertz wireless networks:A deep reinforcement learning approach[J].IEEE Internet of Things Journal,2020,7(10):9517-9529. [19]TAHA A E M,ALI N A,CHI H R,et al.MEC resource offloading for QoE-aware HAS video streaming[C]//ICC 2021-IEEE International Conference on Communications.IEEE,2021:1-5. [20]GENDA K,ABE M,KAMAMURA S.Video CommunicationOptimization Using Distributed Edge Computing[C]//2020 21st Asia-Pacific Network Operations and Management Symposium(APNOMS).IEEE,2020:381-384. [21]JIANG K,ZHOU H,LI D,et al.A Q-learning based Method for Energy-Efficient Computation Offloading in Mobile Edge Computing[C]//2020 29th International Conference on Computer Communications and Networks(ICCCN).IEEE,2020:1-7. |
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