Artificial Intelligence for Communications and Networks: First EAI International Conference, AICON 2019, Harbin, China, May 25–26, 2019, Proceedings, Part I

589 Pages·2019·43.505 MB·English

by  Shuai Han, Liang Ye, Weixiao Meng

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
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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