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Artificial Intelligence for Communications and Networks: First EAI International Conference, AICON 2019, Harbin, China, May 25–26, 2019, Proceedings, Part I PDF
Preview Artificial Intelligence for Communications and Networks: First EAI International Conference, AICON 2019, Harbin, China, May 25–26, 2019, Proceedings, Part I
Shuai Han Liang Ye Weixiao Meng (Eds.) 286 Artificial Intelligence for Communications and Networks First EAI International Conference, AICON 2019 Harbin, China, May 25–26, 2019 Proceedings, Part I Part 1 123 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 286 Editorial Board Members Ozgur Akan Middle East Technical University, Ankara, Turkey Paolo Bellavista University of Bologna, Bologna, Italy Jiannong Cao Hong Kong Polytechnic University, Hong Kong, China Geoffrey Coulson Lancaster University, Lancaster, UK Falko Dressler University of Erlangen, Erlangen, Germany Domenico Ferrari Università Cattolica Piacenza, Piacenza, Italy Mario Gerla UCLA, Los Angeles, USA Hisashi Kobayashi Princeton University, Princeton, USA Sergio Palazzo University of Catania, Catania, Italy Sartaj Sahni University of Florida, Gainesville, USA Xuemin (Sherman) Shen University of Waterloo, Waterloo, Canada Mircea Stan University of Virginia, Charlottesville, USA Jia Xiaohua City University of Hong Kong, Kowloon, Hong Kong Albert Y. Zomaya University of Sydney, Sydney, Australia More information about this series at http://www.springer.com/series/8197 Shuai Han Liang Ye Weixiao Meng (Eds.) (cid:129) (cid:129) fi Arti cial Intelligence for Communications and Networks First EAI International Conference, AICON 2019 – Harbin, China, May 25 26, 2019 Proceedings, Part I 123 Editors ShuaiHan LiangYe Harbin Institute of Technology Harbin Institute of Technology Harbin, China Harbin, China Weixiao Meng Harbin Institute of Technology Harbin, China ISSN 1867-8211 ISSN 1867-822X (electronic) Lecture Notesof the Institute for Computer Sciences, Social Informatics andTelecommunications Engineering ISBN 978-3-030-22967-2 ISBN978-3-030-22968-9 (eBook) https://doi.org/10.1007/978-3-030-22968-9 ©ICSTInstituteforComputerSciences,SocialInformaticsandTelecommunicationsEngineering2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface Wearedelightedtointroducetheproceedingsofthefirsteditionofthe2019European Alliance for Innovation (EAI) International Conference on Artificial Intelligence for Communications and Networks (AICON). This conference brought together researchers, developers, and practitioners from around the world who are leveraging and developing artificial intelligence technology for communications and networks. The theme of AICON 2019 was “Artificial Intelligence for Communications and Networks: Applying Artificial Intelligence to Communications and Networks.” The technical program of AICON 2019 consisted of 93 full papers, including six invited papers in oral presentation sessions during the main conference tracks. The conference tracks were: Track 1—AI-Based Medium Access Control; Track2—AI-basedNetworkIntelligenceforIoT;Track3—AI-enabledNetworkLayer Algorithms and Protocols; Track 4—Cloud and Big Data of AI-enabled Networks; Track 5—Deep Learning/Machine Learning in Physical Layer and Signal Processing; andTrack6—SecuritywithDeepLearningforCommunicationsandNetworks.Aside fromthehigh-qualitytechnicalpaperpresentations,thetechnicalprogramalsofeatured fourkeynotespeechesandfourinvitedtalks.ThefourkeynotespeecheswerebyProf. Moe Win from the Laboratory for Information and Decision Systems, Massachusetts InstituteofTechnology,USA,Prof.MohsenGuizanifromtheDepartmentofComputer ScienceandEngineering,QatarUniversity,Qatar,Prof.GuoqiangMaofromtheCenter forReal-TimeInformationNetworks,UniversityofTechnologySydney,Australia,and Prof. Byonghyo Shim from the Department of Electrical and Computer Engineering, Seoul National University, South Korea. The invited talks were presented by Prof. JinhongYuanfromtheUniversityofNewSouthWales,Australia,Prof.ShuiYufrom the University of Technology Sydney, Australia, Prof. Bo Rong from the Communi- cations Research Centre, Canada, and Prof. Haixia Zhang from Shandong University, China. Coordination with the steering chair, Imrich Chlamtac, the general chairs, Xuemai Gu and Cheng Li, and the executive chairs, Qing Guo and Hsiao-Hwa Chen, was essential for the success of the conference. We sincerely appreciate their constant support and guidance. It was also a great pleasure to work with such an excellent Organizing Committee team and we thank them for theirhard work in organizing and supporting the conference. In particular, we thank the Technical Program Committee, led by our TPC co-chairs, Prof. Shuai Han and Prof. Weixiao Meng, who completed the peer-review process of technical papers and compiled a high-quality technical program. We are also grateful to the conference manager, Andrea Piekova, for her supportandalltheauthorswhosubmittedtheirpaperstotheAICON2019conference. vi Preface We strongly believe that the AICON conference provides a good forum for all researchers, developers, and practitioners to discuss all scientific and technological aspectsthatarerelevantforartificialintelligenceandcommunications.Wealsoexpect thatfutureAICONconferenceswillbeassuccessfulandstimulatingasindicatedbythe contributions presented in this volume. May 2019 Shuai Han Liang Ye Weixiao Meng Organization Steering Committee Imrich Chlamtac University of Trento, Italy Organizing Committee General Chairs Xuemai Gu Harbin Institute of Technology, China Cheng Li Memorial University of Newfoundland, Canada Executive Chairs Qing Guo Harbin Institute of Technology, China Hsiao-Hwa Chen National Cheng Kung University, Taiwan Program Chairs Shuai Han Harbin Institute of Technology, China Weixiao Meng Harbin Institute of Technology, China Sponsorship and Exhibits Chair Rose Hu Utah State University, USA Local Chair Shuo Shi Harbin Institute of Technology, China Workshop Chairs Yahong Zheng Missouri University of Science and Technology, USA Shaochuan Wu Harbin Institute of Technology, China Publicity and Social Media Chairs Zhensheng Zhang Retired Lin Ma Harbin Institute of Technology, China Publications Chair Liang Ye Harbin Institute of Technology, China Web Chairs Xuejun Sha Harbin Institute of Technology, China Chenguang He Harbin Institute of Technology, China viii Organization Posters and PhD Track Chair Chau Yuen Singapore University of Technology and Design, Singapore Panels Chair Xianbin Wang University of Western Ontario, Canada Demos Chair Yi Qian University of Nebraska Lincoln, USA Tutorials Chair Mugen Peng Beijing University of Posts and Telecommunications, China Conference Manager Andrea Piekova EAI Technical Program Committee Deyue Zou Dalian University of Technology, China Fan Jiang Memorial University of Newfoundland, Canada Lingyang Song Peking University, China Bo Rong Communications Research Center, Canada Wei Li Northern Illinois University, USA Xi Chen Flatiron Institute, Simons Foundation, USA Baoxian Zhang University of China Academy of Sciences, China Jalel Ben-Othman University of Paris 13, France Jun Shi Harbin Institute of Technology, China Ruiqin Zhao Northwestern Polytechnical University, China Feng Ye University of Dayton, USA Tao Jiang Huazhong University of Science and Technology, China Hossam Hassanein Queen’s University, Canada Ruofei Ma Harbin Institute of Technology, China Jun Zheng Southeast University, China Wei Shi Carleton University, Canada Kun Wang Nanjing University of Posts and Telecommunications, China Xianye Ben Shandong University, China Shiwen Mao Auburn University, USA Mianxiong Dong Muroran Institute of Technology, Japan Wei Xiang James Cook University, Australia Yulong Gao Harbin Institute of Technology, China Contents – Part I Deep Learning/Machine Learning in Physical Layer and Signal Processing Dual-Mode OFDM-IM by Encoding All Possible Subcarrier Activation Patterns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Xiaoping Jin, Zheng Guo, Mengmeng Zhao, Ning Jin, and Dongxiao Chen Energy Efficiency Optimization Based SWIPT in OFDM Relaying Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Dan Huang, Weidang Lu, and Mengshu Hou An Efficient Resource Allocation Algorithm for LTE Uplink VMIMO Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Yang Cai, Shaojun Qiu, Jia Cai, Wenchi Cheng, and Xiaofeng Lu Research on UAV Swarm Interference Based on Improved Invasive Weed Optimization Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 Lijiao Wang, Yanping Liao, and Xiaoming Luan Sparse Decomposition Algorithm Based on Joint Sparse Model . . . . . . . . . . 47 Qiyun Xuan, Si Wang, Yulong Gao, and Junhui Cheng Millimeter Wave Massive MIMO Channel Estimation and Tracking . . . . . . . 57 Yanwu Song, Shaochuan Wu, Wenbin Zhang, and Huafeng Zhang Deep Learning-Based Space Shift Keying Systems . . . . . . . . . . . . . . . . . . . 70 Yue Zhang, Xuesi Wang, Jintao Wang, Yonglin Xue, and Jian Song Non-orthogonal Multiple Access Enabled Power Allocation for Cooperative Jamming in Wireless Networks . . . . . . . . . . . . . . . . . . . . . 79 Yuan Wu, Weicong Wu, Daohang Wang, Kejie Ni, Li Ping Qian, Weidang Lu, and Limin Meng Joint Time-Frequency Diversity in the Context of Spread-Spectrum Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 Qiuhan Teng, Xuejun Sha, and Cong Ma Design of Radar-Communication Integrated Signal Based on OFDM. . . . . . . 108 Tianqi Liang, Zhuoming Li, Mengqi Wang, and Xiaojie Fang