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International Conference on Computer and communications (ICCC)

作者： Donghe Wang Hai Hu Haojun Yang Kan Zheng Ministry of Education Intelligent Computing and Communications (IC2) Lab Wireless Signal Processing and Networks (WSPN) Lab Key Laboratory of Universal Wireless Communications Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Real-time monitoring of meteorological conditions has been arousing increasing attention in current production and life. However, considering the challenges of deployment costs and demand for low power consumption, existing monitoring system needs to be improved to meet the requirements of new Internet-of-Things (IoT) applications. Therefore, a wireless sensor network system dedicated for meteorological monitoring is studied based on Long Range (LoRa) in this paper. Firstly, our meteorological monitoring system is designed for real-time services such as agricultural production demand. Then, the implementation of the proposed system is presented in detail as well as the prototype system is deployed on the campus. Finally, various experiments are conducted to provide the results for demonstrating the reliability and effectiveness of the proposed system.

关键词： wireless communication wireless sensor networks Humidity measurement Production Real-time systems Internet of Things Monitoring

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A New Vision-Aided Beam Prediction Scheme for mmWave wireless communications

A New Vision-Aided Beam Prediction Scheme for mmWave Wireles...

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International Conference on Computer and communications (ICCC)

作者： Ziqiang Ying Haojun Yang Jia Gao Kan Zheng Ministry of Education Intelligent Computing and Communications (IC2) Lab Wireless Signal Processing and Networks (WSPN) Lab Key Laboratory of Universal Wireless Communications Beijing University of Posts and Telecommunications (BUPT) Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Beamforming is one of the most critical technologies for millimeter wave (mmWave) wireless communications. However, the classical beam selection methods generally require the large system overhead, such as frequent channel estimation. To this end, this paper proposes a new vision-aided beam prediction scheme based on object detection for mmWave wireless communications. In this scheme, the optimal beams are directly predicted based on the RGB images captured by cameras. Specifically, we first adopt the object detection model to locate the positions of all targeted users in the RGB images. Then, based on multilayer perceptron, an angle prediction model is used to estimate the angles between the users and the cameras. In addition, we select the optimal beam indexes from a pre-defined beam codebook according to the information of angle and codebook. Finally, the experimental results reveal that our proposed scheme has the lower overhead, higher accuracy and better scalability.

关键词： wireless communication Scalability Object detection Predictive models Cameras Indexes Task analysis

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Regression-Based Uplink Interference Identification and SINR Prediction for 5G Ultra-Dense Network

Regression-Based Uplink Interference Identification and SINR...

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IEEE International Conference on communications (ICC)

作者： Yichen Guo Chunjing Hu Tao Peng Haiming Wang Xin Guo Wireless Signal Processing and Networks Laboratory (WSPN) Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications (BUPT) Beijing P.R. China Lenovo Research Beijing P.R. China

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

Ultra-dense network (UDN) is recognized as a key technology for the fifth generation (5G) network to deliver high capacity. Due to cell densification, UDN suffers from heavy intercell interference (ICI). To mitigate ICI, an accurate interference modeling is essential. Compared to distributed mechanism, centralized interference management is more adept at addressing server ICI problem, especially in dense deployments. Hence, we adapt centralized radio access network (C-RAN) architecture to obtain global channel state data. In this paper, a novel regression-based uplink interference identification and signal-to-interference ratio (SINR) prediction algorithm is proposed for C-RAN based 5G UDN. By leveraging big data technology with in-depth analysis of the cause of ICI, this algorithm can precisely model the interference relationship and thus achieve very accurate SINR prediction. In addition, the proposed algorithm is highly efficient in computing, as demonstrated by complexity analysis.

关键词： Interference signal to noise ratio Prediction algorithms Uplink Computer architecture Microprocessors Machine learning algorithms

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A signal Synchronization and Pilot-Aided DOA Estimation Method in the presence of Interferences

A Signal Synchronization and Pilot-Aided DOA Estimation Meth...

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International Conference on Computer and communications (ICCC)

作者： Lanxin Wei Siye Wang Wenbo Xu Dong Li Kun Yang Network and Wireless Communication Lab Beijing University of Posts and Telecommunications Beijing China National Key Laboratory of Science and Technology on Blind Signal Processing Shanghai China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Direction of arrival (DOA) estimation is a fundamental problem in signal processing. The super-resolution spatial spectrum estimation algorithm based on feature decomposition, such as multiple signal classification (MUSIC) and estimating signal parameter via rotational invariance techniques (ESPRIT), has a good performance in high signal-to-interference plus noise ratio (SINR) environment and single interference. However, strong interferences will make DOA estimation error. And the number of angles that can be estimated by these methods is limited by the freedom of the antenna. The existence of multiple interferences will affect accuracy of DOA estimation. To address this problem, in this paper, we propose a novel dual-channel synchronization architecture and a Piloted-Aided DOA estimation method. We improve the matching performance by dual channel synchronization. A new matched filter is designed by using the idea of filter truncation, which reduces the computational resource cost. And a new DOA estimation method is proposed, which can estimate the angle of target signal in the environment of low SINR and multiple interferences. Experiments were performed to verify the performance of the proposed design. Results show that this architecture can greatly reduce the computational complexity. And the method successfully gets the direction of target signal in low SINR environment.

关键词： Direction-of-arrival estimation Estimation signal processing algorithms Interference Computer architecture Synchronization signal to noise ratio

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Privacy amplification scheme based on composite coding

arXiv

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arXiv 2021年

作者： Li, Wei Zhao, Shengmei Nanjing University of Posts and Telecommunications Institute of Signal Processing and Transmission Nanjing210003 China Nanjing University of Posts and Telecommunications Key Lab Broadband Wireless Communication and Sensor Network Ministy of Education Nanjing210003 China National Laboratory of Solid State Microstructures Nanjing University Nanjing210093 China

Privacy amplification is an indispensable step in the post-processing of quantum key distribution, which can be used to compress the redundancy of shared key and improve the security level of the key. The commonly used privacy amplification is based on the random selection of universal hash functions, which needs the help of an additional random source, while it does not exist in general. In this paper, we propose a privacy amplification scheme based on composite coding, which is an extension of quantum CSS codes to classical linear codes. Compared with the universal hashing function, the proposed scheme does not need other random sources, and the randomness can be completely provided by the qubit string. Furthermore, the information-theoretic bound for the extraction of the key is obvious in composite coding. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum cryptography

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The optimal positive operator-valued measure for state discrimination

arXiv

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arXiv 2021年

Evaluating the amount of information obtained from non-orthogonal quantum states is an important topic in the field of quantum information. The commonly used evaluation method is Holevo bound, which only provides a loose upper bound for quantum measurement. In this paper, we provide a theoretical study of the positive operator-valued measure (POVM) for discriminating nonorthogonal states. We construct a generalized POVM measurement operation, and derive the optimal one for state discrimination by Lagrange multiplier method. With simulation, we find that the optimal POVM measurement provides a tight upper bound for state discrimination, which is significantly lower than that predicted by Holevo bound. The derivation of optimal POVM measurement will play an important role in the security research of quantum key distribution. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum cryptography

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Semantic communications:Theories,Technologies and Applications

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中国通信（英文版） 2024年第7期21卷前插1-前插5页

作者： Zhang Ping Shi Guangming Cui Shuguang Zhang Zhaoyang Niu Kai Xiao Yong Qin Zhijin Dai Jincheng Shao Shuo Deniz Gündüz Eleonora Grassucci School of Information and Communication Engineering at Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology IMT-2020(5G)Experts Panel Experts Panel for China's 6G development Peng Cheng Laboratory School of Artifi-cial Intelligence Xidian University electrical and computer engineering with the University of Arizona Texas A&M University UC Davis Chinese Univer-sity of Hong Kong(Shenzhen)(CUHK-Shenzhen) Zhejiang University School of Artificial Intelli-gence BUPT School of Electron-ic Information and Communications at the Huazhong University of Science and Technology(HUST) WuhanChina Peng Cheng Laboratory Guang-zhouChina and the Pazhou Laboratory(Huangpu)Guang-zhouChina Tsinghua University BeijingChina Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and Telecommunications School of Electronics Informa-tion and Electrical EngineeringShanghai Jiao Tong Univer-sityChina Information Processing in the Electrical and Electronic Engineering Department at Imperial College London UK Intelligent Systems and Networks Group Department at Imperial College London UK Department of Information Engineering Electronicsand Telecommunications of the Sapienza University of Rome

The last seventy years have witnessed the transi-tion of communication from Shannon's theoretical concept to current high-efficiency practical *** respect to Shannon information theory,to fulfill the high-bandwidth utilization,any further increase in the data rate requires a significant augmentation in the received signal power unless the bandwidth is extended in proportion to the incre-mental data rate.

关键词： Special issues and sections Semantics communication systems Data processing Information theory Data augmentation

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Suppression of 802.11 Transmission in 2. 4GHz ISM band: Method and Experimental Verification

Suppression of 802.11 Transmission in 2. 4GHz ISM band: Meth...

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IEEE Conference on Vehicular Technology (VTC)

作者： PeiLiang Zuo Tao Peng Hao Wu Kangyong You Hanbo Jing Wenbin Guo Wenbo Wang Wireless Signal Processing and Networks Laboratory Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing China The 7th Research Institute of China Electronics Technology Group Corporation Guangzhou China Beijing Institute of Remote Sensing Equipment Beijing China

ISBN: (数字)9781728152073

ISBN: (纸本)9781728140537

Due to the characteristics of being license-free, the ISM (Industrial, Scientific, Medical) bands are frequently utilized by wireless communication systems. However, the ubiquitous and unmanaged IEEE 802.11 systems deployed in the ISM bands may bring non-negligible interference to emergency communications. This paper considers suppressing the transmission of 802.11 systems in 2. 4GHz ISM band for protecting the public safety in emergency scenarios. To this end, two kinds of suppression frames that comply with the 802.11 protocol are analyzed, which respectively borrow the ideas of virtual carrier-sense attack and spoofing. The validity of each of the frames is then verified both qualitatively and quantitatively by the designed experiments with multiple commercial off-the-shelf (COTS) 802.11 devices. Based on which we propose an integrated suppression method that is effective for all tested devices. Further experiments and analysis show that the presented method outperforms the state-of-the-art suppression methods in terms of energy consumption and applicability.

关键词： wireless fidelity Protocols Performance evaluation IEEE 802.11g Standard wireless communication Jamming

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Multi-Ring on-Chip Interconnected Architecture for Spiking Neural Network Hardware Implementations

Multi-Ring on-Chip Interconnected Architecture for Spiking N...

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IEEE International Conference on High Performance Computing and communications (HPCC)

作者： Junxiu Liu Dong Jiang Yuling Luo Senhui Qiu School of Electronic Engineering Guangxi Normal University Guilin China Guangxi Key Lab of Multi-source Information Mining & Security Guilin China Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin China

ISBN: (纸本)9781728176505

Spiking Neural Network (SNN) is an artificial intelligence approach inspired by mammalian brain. Recent research has explored SNNs in Network-on-Chip (NoC) electronic circuits with the aim to deal with spatiotemporal dynamic tasks in real time. For the NoC-based hardware SNNs, their interconnections are suffering from large area overhead and power consumption due to the numerous buffers and complex structures of routers. This paper presents a novel Multi-Ring Interconnected Architecture (MRIA) to address this problem. Specifically, multiple unidirectional ring topologies are incorporated in MRIA to simplify the routers' crossbar switches, control logic and routing calculation units, and to decrease the interconnections' hardware area and power consumption. In addition, many buffers are also eliminated to further reduce interconnection costs. Experimental results demonstrate that compared to prior approaches, the proposed MRIA achieves average 20.3X and 7.9X reductions for the router area and power, respectively. Meantime, a high throughput of two million spikes per second is obtained.

关键词： Power demand Integrated circuit interconnections Computer architecture Throughput Routing Control systems Hardware

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Reinforcement Learning Based Congestion Control in Satellite Internet of Things

Reinforcement Learning Based Congestion Control in Satellite...

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International Conference on wireless communications and signal processing (WCSP)

作者： Zhou Wang Jiaxin Zhang Xing Zhang Wenbo Wang Wireless Signal Processing & Networks Lab (WSPN) Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China

Satellite Internet of Things (SIoT) is widely used to support various IoT applications where a reliable terrestrial backhaul is hard to be established. In order to solve the problem of unavoidable high transmission delay and interrupt probability in satellite IoT, Delay/Interrupt Tolerant Network (DTN) is further concerned in recent years. However, DTN requires enough storage resources to ensure store-and-forward process, which are limited in satellite network, resulting in network congestion and reduction of Quality of Service (QoS). In this paper, the Limited Greedy Fast Congestion Control (LGFCC) algorithm is proposed based on incomplete information game mechanism and reinforcement learning, which integrates the usage of multi-hops packet switching links into DTN opportunistic routing. It offloads the scheduling tasks into the accessing IoT nodes, which realizes fast congestion control and improves QoS in the SIoT scenario. Numerous results show that the algorithm can reduce the bundle abort rate by approximately 30% and accelerate the convergence rate by approximately 60%.

关键词： Satellites Quality of service Games Bandwidth Topology Internet of Things Routing

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