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Catalyzing Random Access at physical layer for Internet of Things:An Intelligence Enabled User Signature Code Acquisition Approach

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China Communications 2021年第10期18卷 181-192页

作者： Xiaojie Fang Xinyu Yin Xuejun Sha Jinghui Qiu Hongli Zhang School of Electronic and Information Engineering Harbin Institute of TechnologyHarbin 1500001China Science and Technology on Communication Networks Laboratory Shijiazhuang 050050China School of Computer Science and Technology Harbin Institute of TechnologyHarbin 150001China

Exploiting random access for the underlying connectivity provisioning has great potential to incorporate massive machine-type communication(MTC)devices in an Internet of Things(Io T)***,massive access attempts from versatile MTC devices may bring congestion to the IIo T network,thereby hindering service increasing of IIo T *** this paper,an intelligence enabled physical(PHY-)layer user signature code acquisition(USCA)algorithm is proposed to overcome the random access congestion problem with reduced signaling and control *** the proposed scheme,the detector aims at approximating the optimal observation on both active user detection and user data reception by iteratively learning and predicting the convergence of the user signature codes that are in *** crossentropy based low-complexity iterative updating rule is present to guarantee that the proposed USCA algorithm is computational feasible.A closed-form bit error rate(BER)performance analysis is carried out to show the efficiency of the proposed intelligence USCA *** results confirm that the proposed USCA algorithm provides an inherent tradeoff between performance and complexity and allows the detector achieves an approximate optimal performance with a reasonable computational complexity.

关键词： Internet of Things(IoT) artificial intelligence physical layer cross-entropy random access

Deep Learning for Wireless physical layer: Opportunities and Challenges

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China Communications 2017年第11期14卷 92-111页

作者： Tianqi Wang Chao-Kai Wen Hanqing Wang Feifei Gao Tao Jiang Shi Jin National Mobile Communications Research Laboratory Southeast University Institute of Communications Engineering "Sun Yat-sen University" State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and TechnologyDepartment of Automation Tsinghua University School of Electronic Information and Communications Huazhong University of Science and Technology

Machine learning(ML) has been widely applied to the upper layers of wireless communication systems for various purposes, such as deployment of cognitive radio and communication network. However, its application to the physical layer is hampered by sophisticated channel environments and limited learning ability of conventional ML algorithms. Deep learning(DL) has been recently applied for many fields, such as computer vision and natural language processing, given its expressive capacity and convenient optimization capability. The potential application of DL to the physical layer has also been increasingly recognized because of the new features for future communications, such as complex scenarios with unknown channel models, high speed and accurate processing requirements; these features challenge conventional communication theories. This paper presents a comprehensive overview of the emerging studies on DL-based physical layer processing, including leveraging DL to redesign a module of the conventional communication system(for modulation recognition, channel decoding, and detection) and replace the communication system with a radically new architecture based on an autoencoder. These DL-based methods show promising performance improvements but have certain limitations, such as lack of solid analytical tools and use of architectures that are specifically designed for communication and implementation research, thereby motivating future research in this field.

关键词： wireless communications deep learning physical layer

Toward intelligent wireless communications:Deep learning-based physical layer technologies

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Digital Communications and Networks 2021年第4期7卷 589-597页

作者： Siqi Liu Tianyu Wang Shaowei Wang School of Electronic Science and Engineering Nanjing UniversityNanjingJiangsu210023China

Advanced technologies are required in future mobile wireless networks to support services with highly diverse requirements in terms of high data rate and reliability,low latency,and massive *** Learning(DL),one of the most exciting developments in machine learning and big data,has recently shown great potential in the study of wireless *** this article,we provide a literature review on the applications of DL in the physical ***,we analyze the limitations of existing signal processing techniques in terms of model accuracy,global optimality,and computational ***,we provide a brief review of classical DL ***,we discuss recent DL-based physical layer technologies,including both DL-based signal processing modules and end-to-end *** neural networks are used to replace a single or several conventional functional modules,whereas the objective of the latter is to replace the entire transceiver ***,we discuss the open issues and research directions of the DL-based physical layer in terms of model complexity,data quality,data representation,and algorithm reliability.

关键词： Data-driven Deep learning physical layer Wireless communications

A data transmission method for particle physics experiments based on Ethernet physical layer

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Chinese Physics C 2015年第11期39卷 65-69页

作者：黄锡汝曹平郑佳俊 State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Anhui Key Laboratory of physical Electronics Department of Modern Physics University of Science and Technology of China

Due to its advantages of universality, flexibility and high performance, fast Ethernet is widely used in readout system design for modern particle physics experiments. However, Ethernet is usually used together with the TCP/IP protocol stack, which makes it difficult to implement readout systems because designers have to use the operating system to process this protocol. Furthermore, TCP/IP degrades the transmission efficiency and real-time performance. To maximize the performance of Ethernet in physics experiment applications, a data readout method based on the physical layer（PHY） is proposed. In this method, TCP/IP is replaced with a customized and simple protocol, which makes it easier to implement. On each readout module, data from the front-end electronics is first fed into an FPGA for protocol processing and then sent out to a PHY chip controlled by this FPGA for *** kind of data path is fully implemented by hardware. From the side of the data acquisition system（DAQ）,however, the absence of a standard protocol causes problems for the network related applications. To solve this problem, in the operating system kernel space, data received by the network interface card is redirected from the traditional flow to a specified memory space by a customized program. This memory space can easily be accessed by applications in user space. For the purpose of verification, a prototype system has been designed and *** test results show that this method can meet the requirements of data transmission from the readout module to the DAQ with an efficient and simple manner.

关键词： readout method Ethernet physical layer data redirection

A framework of physical layer technique assisted authentication for vehicular communication networks

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Science China(Information Sciences) 2010年第10期53卷 1996-2004页

作者： WEN Hong 1,2 , HO PinHan 2 & GONG Guang 2 1 National Key Lab of Communication of UESTC, Chengdu 610054, China 2 Department of Electrical Computer Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada National Key Lab of Communication of UESTC Chengdu China Department of Electrical Computer Engineering University of Waterloo Waterloo Canada

In this paper, we introduce a message physical layer assisted message authentication (PAA) framework under public key infrastructure (PKI) in vehicular communication networks. The proposed framework takes advantage of temporal and spatial uniqueness in physical layer channel responses for each transmission pair, in which a trust between two vehicles can be maintained by comparing the current estimated channel response and the previous estimated channel response. We will show that the proposed message authentication framework can achieve high efficiency and minimal authentication delay without compromising the security requirements, which is further verified through both analysis and simulation.

关键词： authentication physical layer public key infrastructure vehicular ad hoc networks

physical layer design of wireless sensor network nodes

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Journal of Southeast University(English Edition) 2006年第1期22卷 21-25页

作者：钟子果胡爱群王丹东南大学无线电工程系南京210096

Major consideration dimensions for the physical layer design of wireless sensor network （WSN） nodes is analyzed by comparing different wireless communication approaches, diverse mature standards, important radio frequency （RF） parameters and various microcontroller unit （MCU） solutions. An implementation of the WSN node is presented with experimental results and a novel ＂one processor working at two frequencies＂ energy saving strategy. The lifetime estimation issue is analyzed with consideration to the periodical listen required by common WSN media access control （MAC） algorithms. It can be concluded that the startup time of the RF which determines the best sleep time ratio and the shortest backoff slot time of MAC, the RF frequency and modulation methods which determinate the RX and TX current, and the overall energy consumption of the dual frequency MCU SOC （ system on chip） are the most essential factors for the WSN node physical layer design.

关键词： wireless sensor network node physical layer radio frequency energy consumption node lifetime

Security Issues and Solutions in Wireless Communications at physical layer

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China Communications 2011年第5期8卷 11-19页

作者：吴越易平李建华 National Engineering Laboratory of Information Content Analysis Shanghai Jiao Tong University

The properties of broadcast nature, high densities of deployment and severe resource limitations of sensor and mobile networks make wireless networks more vulnerable to various attacks, including modification of messages, eavesdropping, network intrusion and malicious forwarding. Conventional cryptography-based security may consume significant overhead because of low-power devices, so current research shifts to the wireless physical layer for security enhancement. This paper is mainly focused on security issues and solutions for wireless communications at the physical layer. It first describes the RSSI-based and channel based wireless authentication methods respectively, and presents an overview of various secrecy capacity analyses of fading channel, MIMO channel and cooperative transmission, and then examines different misbehavior detection methods. Finally it draws conclusions and introduces the direction of our future work.

关键词： wireless security physical layer authentication secrecy cooperative communication misbehavior detection

A NOVEL physical-layer TRANSCEIVER USED IN USB2.0 SERIAL DATA LINK

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Journal of Electronics(China) 2006年第5期23卷 736-740页

作者： Li Haoliang He Lenian Wang Zi Yan Xiaolang Institute of VLSI Design Zhejiang University Hangzhou 310027 China

The paper proposes a novel transceiver in physical layer for high-speed serial data link based upon Universal Serial Bus (USB) 2.0, comprising transmitter and receiver. In the design, transmitter contains pre-and-main driver to satisfy slew rate of output data, receiver includes optimized topology to improve preci- sion of received data. The circuit simulation is based on Cadence’s spectre software and Taiwan Semiconduc- tor Manufacture Corporation’s library of 0.25μm mixed-signal Complementary Metal-Oxide Semiconductor (CMOS) model. The front and post-simulation results reveal that the transceiver designed can transmit and re- ceive high-speed data in 480Mbps, which is in agreement with USB2.0 specification. The chip of physi- cal-layer transceiver has been designed and implemented with 0.25μm standard CMOS technology.

关键词： Complementary Metal-Oxide Semiconductor(CMOS) transceiver physical layer High-speed Universal Serial Bus (USB) 2.0

Ultra-reliable and low-latency communications:applications, opportunities and challenges

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Science China(Information Sciences) 2021年第2期64卷 60-71页

作者： Daquan FENG Lifeng LAI Jingjing LUO Yi ZHONG Canjian ZHENG Kai YING College of Electronic and Information Engineering Shenzhen University School of Electronic and Information Engineering Harbin Institute of Technology School of Electronic Information and Communications Huazhong University of Science and Technology

In the upcoming 5G and beyond systems, ultra-reliable and low latency communication (URLLC) has been considered as the key enabler to support diverse mission-critical services, such as industrial automation, remote healthcare, and intelligent transportation. However, the two stringent requirements of URLLC:extremely low latency and ultra-strict reliability have posed great challenges in system designing. In this article, the basic concepts and the potential applications of URLLC are first introduced. Then, the state-ofthe-art research of URLLC in the physical layer, link layer and the network layer are overviewed. In addition,some potential research topics and challenges are also identified.

关键词： ultra-reliable and low-latency advanced transmission technologies physical layer network design real-time guarantee