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67th IEEE Vehicular Technology Conference

作者： Feng, Chong Zhang, Jianhua Zhang, Yanyan Xia, Minghua Beijing Univ Posts & Telecom Minist Educ Key Lab Universal Wireless Commun POB 92 Beijing 100876 Peoples R China Beijing Univ Posts & Telecom Wireless Technol Innovat Inst Beijing 100876 Peoples R China Elect & Telecommun Res Inst Daejeon South Korea

ISBN: (纸本)9781424416448

This paper presents a timing synchronization method with shift-orthogonal Constant Amplitude Zero Auto Correlation (CAZAC) sequences for the multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Utilizing the unique properties of CAZAC sequences, at the receivers, unit pulses can be obtained by the symmetrical correlation to detect time offsets and differentiate inter-transmitter delays (ITDs). The performance of the proposed method is compared with traditional methods at different values of ITDs. Simulations demonstrate that the proposed CAZAC sequence-based method provides high accuracy in detecting the different time offsets caused by the distributed transmitters of the MIMO OFDM systems.

关键词： CAZAC MIMO OFDM timing synchronization

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Device-to-Device Communication Underlaying Cellular networks: Connection Establishment and Interference Avoidance

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2012年第1期6卷 203-228页

作者： Xu, Shaoyi Wang, Haiming Chen, Tao Peng, Tao Kwak, Kyung Sup Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China Inha Univ UWB Res Ctr Inchon 402751 South Korea

It is expected that device-to-device (D2D) communication is allowed to underlay future cellular networks such as IMT-Advanced for spectrum efficiency. This article studies the mechanisms of D2D communication and interference avoidance when the D2D subsystem reuses uplink resources and downlink spectrums with a cellular system, respectively. We firstly propose an effective scheme to establish and maintain D2D communication. Moreover, a novel method to deal with the resource allocation and interference avoidance issues by utilizing the network peculiarity of a hybrid network to share the uplink resource is proposed. Most research focuses on reusing the uplink spectrums, but how to share the downlink frequency bands is seldom addressed. To share the downlink spectrums and avoid the interference to the primary cellular devices, a labeled time slots based mechanism is proposed. Implementation details are described in a real cellular system and simulation results prove that satisfying performance can be achieved by using the proposed mechanisms.

关键词： Device-to-device communication hybrid system near-far interference long term evolution labeled time slots

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Performance analysis of an N-level shaper for VBR video traffic in ATM networks

Performance analysis of an N-level shaper for VBR video traf...

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International Conference on Communication Technology (ICCT)

作者： Myeong-Yong Lee Sin-Myeong Mun Jeong-Sik Hong Chang-Hun Lie Telecommun. Networks Res. Labs. Korea Telecom Seoul South Korea Department of Industrial Engineering Seoul National University South Korea

ISBN: (纸本)0780329163

Based on the buffer occupancy level, an N-level shaper regulates the input cell rate of a VBR video source. In this paper the stochastic fluid flow approximation is used to analyze the shaping characteristics on the assumption that the cell arrival process model for a single video source is the superposition of homogeneous on-off minisources. We derive the closed form solutions of the standard deviation-to-average ratio and the shaping delay as measures of the shaping effect. The effectiveness of the proposed shaping mechanism is validated by numerical results.

关键词： Performance analysis telecommunication traffic Intelligent networks Closed-form solution Bit rate Fluctuations Analytical models Delay Peak to average power ratio laboratories

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DPWSim: A Devices Profile for Web Services (DPWS) Simulator

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IEEE INTERNET OF THINGS JOURNAL 2015年第3期2卷 221-229页

作者： Han, Son N. Lee, Gyu Myoung Crespi, Noel Nguyen Van Luong Heo, Kyoungwoo Brut, Mihaela Gatellier, Patrick Telecom SudParis Inst Mines Telecom Dept Wireless Networks & Multimedia Serv F-91011 Evry France Liverpool John Moores Univ Sch Comp & Math Sci Liverpool L3 3AF Merseyside England Percevio F-75000 Paris France Elect & Telecommun Res Inst Daejeon 305700 South Korea Thales Serv SA Theresis Innovat Ctr F-91767 Palaiseau France

The devices profile for Web services (DPWS) standard enables the use of Web services for resource-constrained devices, main components of the Internet of Things (IoT). DPWS can power the next generation of IoT applications by connecting millions of networked devices and services on the Web. This paper presents a simulator, called DPWSim, to support the use of this technology. DPWSim featuring secure messaging, dynamic discovery, service description, service invocation, and publish-subscribe eventing can be used to prototype, develop, and test products in terms of DPWS communication protocols. It can also support the collaboration among manufacturers, developers, and designers during the new product development process.

关键词： Devices profile for Web services (DPWS) Internet of Things (IoT) simulation Web service

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Heterogeneous RAN slicing resource allocation using mathematical program with equilibrium constraints

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IET COMMUNICATIONS 2022年第15期16卷 1772-1786页

作者： Ma, Tengteng Zhang, Yong Han, Zhu Li, Chen China Telecom Corp Ltd Strategy Dev Inst Beijing Res Inst Beijing Peoples R China Beijing Univ Posts & Telecommun Sch Elect Engn Beijing 100876 Peoples R China Beijing Univ Posts & Telecommun Beijing Key Lab Work Safety Intelligent Monitorin Beijing Peoples R China Univ Houston Elecct & Comp Engn Dept Houston TX USA Kyung Hee Univ Dept Comp Sci & Engn Seoul South Korea

Network slicing is considered to be a key feature of the 5th generation mobile networks. It permits multiple tenants, i.e. mobile virtual network operators, to share virtual resources. However, each tenant only considers the individual slice utility, which leads to unfair resource allocation among tenants. To achieve the aim that the infrastructure provider can fairly allocate virtual resources to tenants, a two-layer resource allocation architecture in a heterogeneous radio access network (RAN) is proposed and it is formulated as a mathematical program with equilibrium constraints (MPEC). The existence of the solution in the lower layer is proved via the properties of the quasi-variational problem, indicating that the MPEC is solvable. Combining the two-layer architecture and successive convex approximation method, a fair algorithm is proposed, which provides fair resource allocation strategies for the infrastructure provider. Compared with the existing static slicing and social optimal methods, the analysis and simulation results confirm that the proposed algorithm weighs the utilities of the total network system and each tenant. In addition, regarding their utilities, the gap between the proposed method and the social optimal is within 5%, which outperforms static slicing.

关键词： telecommunication computing total network system mathematical program quasivariational problem infrastructure provider two-layer resource allocation architecture fair algorithm convex programming resource allocation individual slice utility virtualisation network slicing equilibrium constraints heterogeneous radio access network heterogeneous RAN two-layer architecture cloud computing radio access networks fair resource allocation strategies 5G mobile communication mathematical programming mobile virtual network operators multiple tenants unfair resource allocation virtual resources existing static slicing successive convex approximation method MPEC

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AI-Driven Packet Forwarding With Programmable Data Plane: A Survey

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IEEE COMMUNICATIONS SURVEYS AND TUTORIALS 2023年第1期25卷 762-790页

作者： Quan, Wei Xu, Ziheng Liu, Mingyuan Cheng, Nan Liu, Gang Gao, Deyun Zhang, Hongke Shen, Xuemin Zhuang, Weihua Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Xidian Univ Sch Telecommun Engn Key State Lab ISN Xian 710071 Peoples R China China Telecom Res Inst Dept Fundamental Network Technol Shanghai 200120 Peoples R China Peng Cheng Lab PCL Res Ctr Networks & Communicat Shenzhen 518040 Peoples R China Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

The existing packet forwarding technology cannot meet the increasing requirements of Internet development due to its rigid framework. Application of artificial intelligence (AI) for efficient packet forwarding is gaining more and more interest as a new direction. Recently, the explosive development of programmable data plane (PDP) has provided a potential impetus to packet forwarding driven by AI. Therefore, this paper presents a survey on the recent research in AI-driven packet forwarding with PDP. First, we describe two of the most representative frameworks of the packet forwarding, i.e., the traditional AI-driven forwarding framework and the new one assisted by the PDP. Then, we focus on capacity of the packet forwarding under the two frameworks in four measures: delay, throughput, security, and reliability. For each measure, we organize the content with the evolution from simple packet forwarding, to packet forwarding capacity enhancement with the assistance of AI, to the latest research on AI-driven packet forwarding supported by the PDP. Finally, we identify three directions in the development of AI-driven packet forwarding, and highlight the challenges and issues in future research.

关键词： Machine learning packet forwarding pro-grammable data plane

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Modeling and Analysis of V2I Links for the Handover Situations at mmWave Band

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2023年第10期72卷 12450-12463页

作者： Yan, Dong Li, Zan Guan, Ke He, Danping Cheng, Xiang Kim, Junhyeong Chung, Heesang Zhong, Zhangdui Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Peking Univ Sch Elect State Key Lab Adv Opt Commun Syst & Networks Beijing 100871 Peoples R China Elect & Telecommun Res Inst ETRI 6G Wireless Access Syst Res Sect Daejeon 34129 South Korea Frontiers Sci Ctr Smart High Speed Railway Syst Beijing 100044 Peoples R China

Fifth-generation mobile communication technology (5G) has greatly promoted the development of vehicular communication. Millimeter wave (mmWave) technology is becoming the magic key to enabling the high data rate exchange of future onboard devices. Due to the severe path loss at mmWave, the cell radius is short and causes frequent handovers for vehicle user equipment in the mobile network environment. The above problems increase the risk of communication interruptions and pose threats to driving safety. Thus, it is critical to understand the channel characteristics during handover and find a suitable handover mechanism for future vehicular communications. In this work, vehicle-to-infrastructure (V2I) measurement campaigns are first conducted in urban scenarios using the moving network (MN) system. The measurements confirmed the potential benefits of beam-switching during movement and calibrated the ray-tracing (RT) simulator. Then intensive simulations are carried out for the handover procedure in the urban scenario. Based on simulation results, channel parameters are extracted and the channel characteristics for the handover procedure are studied. Finally, it is proposed to use beam-switching to complete the handover by evaluating handover parameters in detail. Compared to the conventional single beam, the beam-switching mechanism improves the SINR by about 30%, significantly enhancing the link quality during handover in the MN system.

关键词： Beam-switching handover millimeter wave (mmWave) ray-tracing (RT) V2I channels

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Decision-making in brains and robots - the case for an interdisciplinary approach

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CURRENT OPINION IN BEHAVIORAL SCIENCES 2019年 26卷 137-145页

作者： Lee, Sang Wan Seymour, Ben Korea Adv Inst Sci & Technol Program Brain & Cognit Engn Dept Bio & Brain Engn Daejeon South Korea KAIST Inst Artificial Intelligence Daejeon South Korea KAIST Inst Hlth Sci & Technol Daejeon South Korea Univ Cambridge Dept Engn Computat & Biol Learning Lab Trumpington St Cambridge CB2 1PZ England Adv Telecommun Res Inst Int Brain Informat Commun Res Lab Grp Kyoto Japan Natl Inst Informat & Commun Technol Ctr Informat & Neural Networks 1-4 Yamadaoka Suita Osaka 5650871 Japan

Reinforcement Learning describes a general method for trial-and-error learning, and it has emerged as a dominant framework both for optimal control in autonomous robots, and understanding decision-making in the brain. Despite their common roots, however, these two fields have evolved largely independently. In this perspective, we consider how each now face problems that could potentially be addressed by insights from the other, and argue that an interdisciplinary approach could greatly accelerate progress in both.

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DPWSim: A Devices Profile for Web Services (DPWS) Simulator

DPWSim: A Devices Profile for Web Services (DPWS) Simulator

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1st IEEE World Forum on Internet of Things (WF-IoT)

关键词： Devices profile for Web services (DPWS) Internet of Things (IoT) simulation Web service

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Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2017年第5期35卷 1046-1061页

作者： Chen, Mingzhe Mozaffari, Mohammad Saad, Walid Yin, Changchuan Debbah, Merouane Hong, Choong Seon Beijing Univ Posts & Telecommun Beijing Lab Adv Informat Network Beijing 100876 Peoples R China Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Beijing 100876 Peoples R China Virginia Polytech Inst & State Univ Elect & Comp Engn Dept Wireless VT Blacksburg VA 24061 USA Kyung Hee Univ Dept Comp Sci & Engn Yongin 02447 South Korea Univ Paris Saclay Cent Supelec Large Networks & Syst Grp F-91192 Gif Sur Yvette France Huawei France Res & Dev Math & Algorithm Sci Lab Paris France

In this paper, the problem of proactive deployment of cache-enabled unmanned aerial vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud radio access network is studied. In the considered model, the network can leverage human-centric information, such as users' visited locations, requested contents, gender, job, and device type to predict the content request distribution, and mobility pattern of each user. Then, given these behavior predictions, the proposed approach seeks to find the user-UAV associations, the optimal UAVs' locations, and the contents to cache at UAVs. This problem is formulated as an optimization problem whose goal is to maximize the users' QoE while minimizing the transmit power used by the UAVs. To solve this problem, a novel algorithm based on the machine learning framework of conceptor-based echo state networks (ESNs) is proposed. Using ESNs, the network can effectively predict each user's content request distribution and its mobility pattern when limited information on the states of users and the network is available. Based on the predictions of the users' content request distribution and their mobility patterns, we derive the optimal locations of UAVs as well as the content to cache at UAVs. Simulation results using real pedestrian mobility patterns from BUPT and actual content transmission data from Youku show that the proposed algorithm can yield 33.3% and 59.6% gains, respectively, in terms of the average transmit power and the percentage of the users with satisfied QoE compared with a benchmark algorithm without caching and a benchmark solution without UAVs.

关键词： CRAN UAV unmanned aerial vehciles drones QoE caching machine learning conceptor-based echo state networks

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