Speech Title: Advanced architectures
of Next Generation Wireless Networks
Abstract: Internet Quality of Service (QoS) mechanisms are expected to enable wide spread use of real time services. New standards and new communication architectures allowing guaranteed QoS services are now developed. We will cover the issues of QoS provisioning in heterogeneous networks, Internet access over 5G networks and discusses most emerging technologies in the area of networks and telecommunications such as IoT, SDN, Edge Computing and MEC networking. We will also present routing, security, baseline architectures of the inter-networking protocols and end-to-end traffic management issues.
Bio: Pascal Lorenz (email@example.com) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.
Speech Title: Key Technologies of
Intelligent Broadband Communication and Networking for Maritime Autonomous
Abstract: In recent years, the development of Maritime Autonomous Surface Ships (MASS) has attracted widespread attention from the industry. Communication and network systems are the basic guarantee for MASS in navigation safety, task operation, and ship-shore coordination. Maritime communication networks face many challenges in the complex and changing ocean electromagnetic environment, such as insufficient coverage, low reliability, narrow bandwidth, and high costs. The communication and networking for MASS have higher requirements of timeliness, reliability, and security. This talk discusses key technologies of intelligent communication and networking with respect to the physical layer, link layer, network layer, and network security technologies. In the future, the development of intelligent maritime communication and networking is crucial for emergency search and rescue, maritime operations, ocean environment monitoring, maritime trade, and intelligent shipping . It has extremely important practical significance for safeguarding China's maritime rights and interests and promoting the construction of a maritime power.
Bio: Bin Lin (Senior Member, IEEE) received the B.S. and M.S. degrees from Dalian Maritime University, Dalian, China, in 1999 and 2003, respectively, and the Ph.D. degree from the Broadband Communications Research Group, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, in 2009. She is currently a Full Professor and the Dean of Communication Engineering with the College of Information Science and Technology, Dalian Maritime University. She has been a Visiting Scholar with George Washington University, Washington, DC, USA, from 2015 to 2016. Her current research interests include wireless communications, network dimensioning and optimization, resource allocation, artificial intelligence, maritime communication networks, edge/cloud computing, wireless sensor networks, and Internet of Things. Prof. Lin is an associate editor of IEEE Transaction on Vehicular Technology and IET Communications.
Speech Title: Resource Management
Algorithms for Heterogeneous Network
Abstract: This paper proposes a DPRR (Dynamic Priority Round Robin) algorithm based on theRound Robin (RR) and Proportional Fairness (PF) algorithms to improve the quality of service (QoS) in heterogeneous networks. Simulation findings demonstrate that this algorithm improves system throughput while ensuring user fairness, indicating the applicability of the DPRR algorithm in heterogeneous networks.
Bio: LIWEI YANG, associate professor of China Agricultural University. She received the B.E. degree in Telecommunication Engineering from Chongqing University of Posts and Telecommunications, China, and the Ph.D. degree in Information and Communications Engineering from Beijing University of Posts and Telecommunications, China. From 2009 to 2011, she was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, China. In 2014, she joined the faculty of the College of Information and Electrical Engineering, China Agricultural University. Her research interests include optical networks, optical wireless communications and visible light communication. She participated in a number of national projects and published more than 80 papers. She served as a TPC member of several international academic conferences and a reviewer for several international journals.
Speech Title: Discussion on the Distributed
Multi-Satellite Cooperative Transmission Technology for Multi-user Broadband
Smartphones Directly connected to LEO Satellites
Abstract: In this paper, we propose a novel distributed multi-satellite cooperative transmission (DMCT) system model. Based on the analysis of the channel correlation between multiple antennas of multiple satellites and multiple antennas of a single smartphone in this model, we design three types of connection modes under different scenario configurations by drawing on terrestrial mature MIMO technologies. Then, we further discuss and analyze the application limitations and main characteristics of each connection mode. Finally, we discuss several key technologies that need to be conquered for the implementation of the proposed DMCT based system.
Bio: Dongdong Wang received the Ph.D. degree in Information and Communication Engineering from the Beijing University of Posts and Telecommunications (BUPT), in 2018. He is currently a Senior Engineer and Young Expert in the field of LEO satellite transmission technology with the Science and Technology on Communication Networks Laboratory, Network Communication Research Institute of China Electronics Technology Group Corporation. He is a member of the Young Scientist Club of the Chinese Society of Electronics. He has authored or coauthored over 20 technical articles in international journals and conferences. His research interests include information theory and channel coding, 5G based LEO satellite transmission technology.
Born in Penang, Malaysia in 1971, Dr. Mohd had graduated in Computer Science (Bachelor Degree) and Engineering Science (Master Degree) at Universiti Kebangsaan Malaysia (UKM) and Multimedia University (MMU). He pursued his doctoral programme in the same institution (UKM) and obtained his Ph. D in 2010. Starting as a Network Engineer in 1995, he became Lecturer In 2001, at University of Kuala Lumpur (UniKL) and National Defence University of Malaysia. Assoc. Prof. Dr. Mohd Nazri Ismailhad a deep involvement in computer network research and was awarded the prestigious “Educator Award 2009 – R&D/Education category” by MARA (Malaysia Agency). He has supervised Ph.D. and Master Students and teaching at undergraduate and post graduate level. Assoc. Prof. Dr. Mohd Nazri Ismail has published more than 100 papers in national and international journals (index by ISI, SCOPUS, IET etc) and IEEE conferences. He has attended many international conferences throughout the world and has chaired many technical sessions. He has appointed as Technical Program Committee and organized more than 60 national and international conferences. He has appointed as Editorial Board member more than 90 international journals and 40 international reviewer panels (journal/proceeding). Awards and laurels won by Assoc. Prof. Dr. Mohd Nazri Ismail run into volumes and he has received 28 awards in R&D/Education. Assoc. Prof. Dr. Mohd Nazri Ismail is an International Association of Engineers (IAENG), IEEE Cloud Computing Community, Society of Digital Information and Wireless Communications (SDIWC), International Association of Engineers and Scientists(IAEST), Universal Association of Computer & Electronics Engineers (UACEE), International Association of Online Engineering (IAOE) and International Association of Computer Science and Information Technology (IACSIT). Assoc. Prof. Dr. Mohd Nazri Ismail has also published 10 books on Computer Network Security, Wireless Technology and Internet of Things (IoT).
Speech Title: Analysis of Offshore
Propagation Characteristics of Oscillating Magnet based Mechanical Antenna
Abstract: The offshore surface propagation characteristics of an Oscillating Magnet Based Mechanical Antenna (OMBMA) is analyzed in this paper. The equivalent oscillating magnetic dipole model of OMBMA is analyzed, and the Sommerfeld expression of the electromagnetic radiation field of the vibration magnetic dipole is given. The semi-infinite two-layer dielectric propagation model of the horizontal vibration magnetic source under the sea surface is established. The propagation path of the electromagnetic field and the field strength at the receiving point are analyzed theoretically. Finally, the propagation characteristics of OMBMA with the operating frequency of 1000Hz near the sea surface are verified by simulation. It is found that when the sum of the depth of the receiving point and the source point is fixed, the attenuation characteristics of the radiation field intensity are the same at different depths of the source point or the receiving point. When the distance between the receiving and the source points exceeds a certain horizontal distance, the magnetic field intensity at the receiving point will decrease rapidly.
Bio: Dr. Zhang received his B.Eng. degree in electronic engineering and the Ph.D. degree in underwater acoustic engineering from Naval University of Engineering, Wuhan, China, in 2009 and 2014, respectively.
Since 2020, he has been with the Northwest Normal University, China. He is the holder of 8 patents in the field of ocean remote sensing, ocean imaging, and ocean ambient noise modeling. He has been involved in the many projects supported by the National Natural Science Foundation of China, the National Basic Research Program of China, the National High Technology Research and Development Program of China, and the National Key Laboratory Foundation of China. He is the author and co-author of more than 60 publications. He is also co-authored one research book, which is published in 2023.
Dr. Zhang is an active Member of the IEEE. He is the Section Editor/Associate Editor/ Guest Editor for many journals such as Recent Patents on Engineering, IEEE Access, Journal of Electronics & Information Technology, Remote Sensing and so on. Dr. Zhang was the Session Chair, Publicity Chair, Invited Speaker, Regional Chair etc. for many International Academic Conferences such as ICCC, ICCT, ICCCS, ICCSN and so on. He has served as the Technical Program Committee for IEEE ICCC, IEEE ICIVC, IEEE ICCT, IEEE ICCSN, IEEE DSP, and SPIE IWPR. He is the reviewer of IEEE publications, IET publications, Springer publications, and so on.
Speech Title: Energy-Age Tradeoff for Status Update
Abstract: Age-of-Information (AoI), or simply age, which measures the data freshness, is essential for real-time Internet-of-Things (IoT) applications. On the other hand, energy saving is urgently required by many energy-constrained IoT devices. This work studies the energy-age tradeoff for status update from a sensor to a monitor over an error-prone channel. The sensor can sleep, sense and transmit a new update, or retransmit by considering both sensing energy and transmit energy. An infinite-horizon average cost problem is formulated as a Markov decision process (MDP) with the objective of minimizing the weighted sum of average AoI and average energy consumption. By solving the associated discounted cost problem and analyzing the Markov chain under the optimal policy, we prove that there exists a threshold optimal stationary policy with only two thresholds, i.e., one threshold on the AoI at the transmitter (AoIT) and the other on the AoI at the receiver (AoIR). Moreover, the two thresholds can be efficiently found by a line search. Numerical results show the performance of the optimal policies and the tradeoff curves with different parameters. Comparisons with the conventional policies show that considering sensing energy is of significant impact on the policy design, and introducing sleep mode greatly expands the tradeoff range.
Bio: Jie Gong received his B.S. and Ph.D. degrees in Department of Electronic Engineering in Tsinghua University, Beijing, China, in 2008 and 2013, respectively. From Jul. 2012 to Jan. 2013, he visited University of Edinburgh, Edinburgh, UK. From Jul. 2013 to Oct. 2015, he worked as a postdoctoral scholar in Tsinghua University. He is currently an associate professor in School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China. He is serving as an editor for IEEE Trans. Green Commun. Netw., IEEE/CIC ICCC 2022 Workshop Co-Chair and Publicity Co-chair for Workshop on Intelligent Computing and Caching at the Network Edge in IEEE WCNC since 2018. He was a co-recipient of the Best Paper Award from IEEE Communications Society Asia-Pacific Board in 2013, and the Best Paper Award of the 5th EAI International Conference on IoT as a Service in 2019. His research interests include Age of Information, reinforcement learning, mobile edge computing and green communications and networking.
Miaowen Wen received the B.S. degree from Beijing Jiaotong University, Beijing, China, in 2009, and the Ph.D. degree from Peking University, Beijing, China, in 2014. From 2012 to 2013, he was a Visiting Student Research Collaborator with Princeton University, Princeton, NJ, USA. From 2019 to 2021, he was with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, as a visiting scholar. He is currently a Professor with South China University of Technology, Guangzhou, China. He has published two books and more than 170 IEEE journal articles. His research interests include a variety of topics in the areas of wireless and molecular communications. Dr. Wen was a recipient of the IEEE Asia-Pacific (AP) Outstanding Young Researcher Award in 2020, and five Best Paper Awards from the IEEE ITST’12, the IEEE ITSC’14, the IEEE ICNC’16, the IEEE ICCT’19, and the EAI QSHINE’22. He was the winner in data bakeoff competition (Molecular MIMO) at IEEE CTW'19, Selfoss, Iceland. He served as a Guest Editor for the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS and for the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. Currently, he is serving on the Editorial Boards of the IEEE TRANSACTIONS ON COMMUNICATIONS, the IEEE TRANSACTIONS ON MOLECULAR, BIOLOGICAL, AND MULTISCALE COMMUNICATIONS, and the IEEE COMMUNICATIONS LETTERS (Senior Editor).
Speech Title: Resource Scheduling for NOMA-based Mobile
Phones and IoT Fusion Satellite Network
Abstract: With the advent of 5G, wireless communication has greatly changed people's lifestyles. However, limited by the coverage of terrestrial cellular networks, the demand for communication services of mobile phones in remote areas is difficult to be met. In order to meet the large coverage and quality of service (QoS) requirements of mobile phones, we consider a non-orthogonal multiple access (NOMA)-based mobile phones and internet of things (IoT) fusion satellite network. In this network, low earth orbit (LEO) satellite can significantly enlarge the coverage while NOMA and IoT further improve the utilization efficiency of resources. Aiming at maximizing the QoS satisfaction rate of mobile phones and the sum rate of internet of things devices, we formulate a joint optimization problem considering NOMA user grouping, inter-group power allocation and intra-group power allocation. To tackle the problem, we design a QoS priority joint optimization algorithm based on proximal policy optimization (Q-PPO). The experimental results show that the proposed Q-PPO algorithm always has considerable performance in QoS satisfaction rate and sum rate of internet of things devices.
Bio: Shu Fu started his Ph.D. studies in Communication and Information System from The University of Electronic Science and Technology of China (Chengdu, P. R. China) in September 2012, focusing on cooperative multi-point (CoMP) wireless network, joint scheduling and routing in wavelength division multiplexing (WDM) network, and cross-network energy efficiency. He received his Ph.D. degree in June 2016. At present, he is an associate professor in the College of Communication Engineering, Chongqing University (Chongqing, P. R. China). His research interests include machine learning in B5G, UAV aided wireless network, and terrestrial-satellite network.
Speech Title: Nonlinear Precoding for Mobile
Phone-Satellite direct connection under Non-Terrestrial Network
Abstract: The Global communications ecosystem believes satellite-based communications to be an important part of 5G-Advanced and 6G. The 3rd Generation partnership project (3GPP) has officially started researching on integrating satellite communications with 5G new Radio (NR) techniques titled “non-terrestrial network”. Multi-beam mobile satellite system has a great potential in providing broadband mobile services over a large area to achieve a high system throughput, which is considered as a typical communication scenario in 3GPP NTN. Whenever multibeam satellite systems target to very aggressive frequency reuse in their coverage area, inter-beam interference becomes the major obstacle for increasing the overall system throughput. In this talk, we will introduce the nonlinear precoding technology as one of the most potential solutions to the interference mitigation problem in NTN. The discussion include: the linear and non-linear precoding technologies comparison, a novel nonlinear algorithm named List encoding of Vector Perturbation Precoding (LVP) we have developed for NTN mobile phone-satellite direct connect communication，and also some progress we have made recently in hardware testbed implementation.
Bio: Wang Ke, received his Ph.D degree in the college of information and communication of Beijing university of Posts and Telecommunications (BUPT), in 2014. He is now an associate professor in BUPT since 2019. He has published over 50 research papers in journals and conferences such as, IEEE transactions on Vehicular Technology and ICC, Globecom, etc. He is also served as the TPC member of several conference, such as ICC2015/2016/2017, WCNC 2019/2020/2021, PIMRC 2019/2020. He has hold 14 patents from the China Patent Office. He is a leader for many national level satellite communication projects. His research interests include integrated space-ground network technology, simulation technology and link-level signal processing.
Speech Title: Semantic communication and AI for optical
Abstract: Semantic communication and AI have been widely applied in optical communications. This talk will discuss the recent advances of semantic communication and AI for optical fiber communications, visible light communications, and free-space optical communications.
Bio: Danshi Wang received Ph.D. in Electronic Science and Technology from Beijing University of Posts and Telecommunications (BUPT) from 2011 to 2016. From 2016 to 2019, he was a Post-doctoral at BUPT and is currently an associate professor at BUPT with the Institute of Information Photonics and Optical Communications. His main research interests include application of machine learning in optical fiber communications, advanced optical communication systems and networks, especially digital twin optical networks, digital signal processing, optical performance monitoring, physical-informed neural network, data-driven modeling, etc.
Jinlong LIU, head of NI Asia-Pacific SATCOM and 5G/6G NTN business, focus on strategy, solution planning, partners and customers collaboration. Graduated from Shanghai Jiaotong University(SJTU) with a bachelor's degree and a master's degree in electrical engineering. He has 17 years of experience in space-related businesses and has in-depth cooperation experience with leading research institutes and universities, such as satellite communication, 5G Massive MIMO and NTN research and prototyping. Facing the development trend of the satellite industry in recent years, he is leading an engineering team to explore a new communication system that integrates non-terrestrial networks.
Speech Title: End-to-end Delay in TSN-aided Integrated
Sensing and Communication Networks: An Analysis Framework
Abstract: In this report, we provide a spatial-temporal analysis framework for large-scale distributed TSN aided Integrated Sensing and Communication network （ISAC）. Delay-sensitive sensing tasks, which may also be stochastic and entangled with communications, can be randomly performed in a large area and then the data are wirelessly collected and then delivered to the datacenter/processors via Time Sensitive Networks (TSN). While the TSN can provide latency bound data transmitting services via i.e., IEEE 802.1 Qbv gate-controlled mechanism, the end-to-end delay violation probability is mainly decided by the random sensing and wireless communication process. However, the fluctuating wireless channel environment and indescribable spatial distribution of sensing devices make it hard to characterize and guarantee the end-to-end quality of service requirements even stochastically. We will introduce a framework to analyze the delay upper bound for the integrated wireless-TSN via stochastic network calculus approach. Specifically, Poisson cluster process is utilized to capture the spatial distribution of data gathering centers and wireless sensing and forwarding devices, and to derive the Laplace transform of interference suffered by the data gatherer device of interest. The end-to-end upper bounds for the delay violation probability are established by exploiting SNC with the Mellin transform of signal-to-interference ratio. This work can be a guidance framework for modeling and analysis of large-scale integrated networks, such as large scale industrial networks.
Bio: Mingwu Yao was born in 1975. He received the Master and Doctoral degrees of Engineering from Xidian University in 2001 and 2006, respectively. From 2001 to 2003, he was with the 18th China Antarctica Research and Expedition Team in Zhongshan Station, Antarctica. From 2008 to 2009, he was visiting Inha University, South Korea in Incheon as a research scientist (post doc). He has been an Associate Professor with Xidian University, since 2009. His research focuses on networking and switching systems, the wireless ad hoc networking and media access control technologies for high performance dynamic networks. Currently he is interested in the prototyping, configuring, performance analyzing and applying/testing of the Time Sensitive Networks.
Speech Title: Resource allocation based on deep
reinforcement learning for LEO beam-hopping system
Abstract: This speech introduces a resource allocation algorithm based on deep reinforcement learning for LEO beam-hopping system. Firstly, an optimization problem with the goal of minimizing the queuing delay of data packets is established. Then LEO satellite is modeled as an intelligent agent, reads the data packet on board buffer state for each beam position. After state reconstruction, a DQN network is designed to train data. Finally, the intelligent agent formulates a beam-hopping resource allocation plan. The simulation results show that, compared with traditional methods, the resource allocation algorithm based on deep reinforcement learning can reduce the queuing delay of data packets and improve the system throughput, and can adapt to the uneven distribution of traffic.
Bio: Chen Zhang, received the Ph.D degree of Information and Communication Engineering in 2013. Currently, he is a faculty and Master Supervisor of College of Telecommunications and Information Engineering in Nanjing University of Posts &Telecommunications (NJUPT), and a senior engineer and scholar in National Engineering Research Center of Communication & Network Technology in NJUPT. His research interests include resource allocation and beam management of satellite communication system, satellite-aerial-terrestrial communication networks.