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15th EAI International Conference on communications and Networking, ChinaCom 2020

作者： Jiang, Hang Cao, Longhan Zhang, Zhizhong Deng, Bingguang Communication Networks Testing Technology Engineering Research Center Chongqing Universting of Posts and Telecommunications Chongqing China Key Laboratory of Control Engineering Chongqing Communication University Chongqing China

ISBN: (纸本)9783030677190

For the 5G NR systems in the Third Generation Partnership Project(3GPP), the computation of synchronous signal detection algorithms is very complex. Based on the characteristics of the domain synchronous signal, this paper proposed a differential and superimposed interdependent cross correlation detection algorithm, which only performed a differential interdependent processing of the received signal with the sum of the local PSS sequence to obtain the position of the relevant peak and detects the position of the coarse synchronous point, and further performed local correlation of the coarse synchronous point, and detected the precise synchronous point according to the maximum peak, which reduced the computational complexity. A theoretical derivation and a comparative complexity analysis between the traditional cross correlation and the improved algorithms shows that the differential and superposition cross correlation joint detection algorithm has high efficiency, low complexity and strong resistance to frequency deviation, which meets the synchronization requirements of 5G NR systems. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Synchronization

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System Cost Function Optimization-Based Data Scheduling and Flight Trajectory for Multi-Antenna UAV-Assisted communication and Sensing Integration Systems

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IEEE Transactions on Cognitive communications and Networking 2024年

作者： Chai, Rong Wang, Bingyan Sun, Ruijin Jing, Xiaorong Chen, Qianbin Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China Chongqing Key Laboratory of Mobile Communication Technology Chongqing China Xidian University School of Telecommunications Engineering The State Key Laboratory of Integrated Services Networks Xi'an710126 China

In this paper, we consider a multi-antenna unmanned aerial vehicle (UAV)-assisted integrated communication and sensing system, and investigate the joint data scheduling and UAV trajectory optimization problem where multi-antenna UAVs are capable of receiving data packets from users and detecting the condition of targets. Stressing the importance of user communication performance and the energy consumption of the UAVs, we define system cost function as a weighted function of system energy consumption and user transmission rate, and formulate the communication and sensing scheduling, sensing precoding design and UAV flight trajectory optimization problem as a constrained system cost function optimization problem. Given that the optimization problem we have formulated is non-convex and complex to address directly, we break it down into three distinct subproblems, i.e., UAV flight trajectory optimization subproblem, communication and sensing scheduling subproblem, and sensing precoding subproblem, propose an iterative nested method to solve these subproblems. To tackle UAV flight trajectory optimization subproblem, we model a Markov decision process (MDP) and propose a double deep Q-network (DDQN)-based UAV trajectory optimization algorithm. Given the state of the MDP model, the communication and sensing scheduling subproblem is solved by using Lagrange dual transformation and quadratic transformation methods, and the sensing precoding subproblem is tackled through introducing auxiliary variables and applying equivalent transformation method. Based on the obtained strategy of the subproblems, the reward function of the MDP model is updated and the UAV flight trajectory is determined. The simulation results validate the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Cost functions

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Generation of parallel pulsed chaos based on a Si3N4 microresonator and its application in imaging 13

Generation of parallel pulsed chaos based on a Si3N4 microre...

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Advanced Sensor Systems and Applications XIII 2023

作者： Xiong, Wei Hu, Yuqi Bai, Qingsong Zhang, Xin Wu, Yilu Xia, Guangqiong Zhou, Heng Wu, Jiagui Wu, Zhengmao School of Physical Science and Technology Southwest University Chongqing400715 China Chengdu Spaceon Electronics Corporation Ltd Chengdu610037 China Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China Chengdu611731 China Chongqing Key Laboratory of Micro & Nano Structure Optoelectronics Southwest University Chongqing400715 China

ISBN: (纸本)9781510667914

In this work, a new scheme based on a Si3N4 microresonator for generating parallel pulsed chaos is proposed, and the performances of the parallel pulsed chaos and its application in imaging are experimentally investigated. Under optical injection with suitable injection parameters, the Si3N4 microresonator can output a continuous wave (CW) chaotic microcomb including nearly 100 comb lines. After passing through an acousto-optic modulator, the CW chaotic microcomb can be transferred into pulsed chaotic microcomb, in which each comb line provides a pulsed chaos. Therefore, parallel pulsed chaos signal can be generated. Taken the parallel pulsed chaos signal as the emitting resource of lidar, the quality of imaging has been analyzed. The experimental results show that clear target imaging can be achieved. © 2023 SPIE.

关键词： Optical radar

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Research on Multi-objective Active Power Optimization Simulation of Novel Improved Water Cycle Algorithm

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IAENG International Journal of Applied Mathematics 2021年第1期51卷 1页

作者： Chen, Gonggui Han, Ying Zhang, Zhizhong Zeng, Xianjun Li, Shuaiyong Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Communication Network and Testing Technology Chongqing University of Posts and Telecommunications Chongqing400065 China State Grid Chongqing Electric Power Company Chongqing400015 China

Water cycle algorithm (WCA) is a heuristic algorithm proposed in recent years. To overcome the insufficiency of standard WCA algorithm in solving the non-convex optimal power flow (OPF) problems, the multi-objective novel improved water cycle algorithm (MONIWCA) is proposed in this paper. The evaporation process is improved in WCA by introducing evaporation rate and the normal distribution optimization mechanism is used to mutate the individual position. The modified WCA also adopts a constraint-based strategy to ensure zero constraint violations. In order to obtain a high-quality Pareto optimal solution set (POS) and select the best compromise solution (BCs), a global ranking strategy is proposed. The global ranking strategy includes the novel constraint handling method, the rank index calculation and the BCs on fuzzy satisfaction theory to deal with the complex constraints of the optimization problem. The MONIWCA has been simulated under the constraints of zero violations on IEEE 30, IEEE 57 and IEEE 118 standard test systems, including six dual-objective cases and one tri- objective case. The simulation results are compared with the multi-objective particle swarm optimization (MOPSO). The results show that the improved method can effectively solve the MOOPF problem, not only to obtain a uniform continuous Pareto solution set but also to achieve a better compromise solution. In addition, the two performance indicators of the generational distance (GD) and the spacing (SP) also show that the MONIWCA algorithm has uniform distribution, high convergence and strong stability. © 2021, IAENG International Journal of Applied Mathematics. All Rights Reserved.

关键词： Particle swarm optimization (PSO)

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Optimal Placement and Capacity of Combined DGs and SCs in Radial Distribution networks Based on PSO-OS Algorithm

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2021年第2期48卷 1-14页

作者： Chen, Gonggui Zhang, Ao Zhao, Chenxu Zhang, Zhizhong Professor of Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China A master degree candidate of Chongqing University of Posts and Telecommunications Chongqing400065 China Co. Ltd Inner Mongolia Power Economy and Technology Research Institute Hohhot010010 China A professor of Key Laboratory of Communication Network and Testing Technology Chongqing University of Posts and Telecommunications Chongqing400065 China

The distribution of power flow can be effectively improved by optimizing the configuration of Distributed Generators (DGs) and Shunt Capacitors (SCs). Proper placements and capacities of DGs or SCs for real power loss minimization at the radial distribution network (RDN) is attracting more attention as people become more and more dependent on electric power resources. In order to overcome the slow convergence and poor effect of intelligent algorithms in this problem, Particle Swarm Optimization with Orientation and Shrinking factor (PSO-OS) is proposed in this paper. In the suggested PSO-OS algorithm, sensitivity analysis sort of distribution network is introduced to guide the direction of variation to simplify the search space, and shrinking factor is introduced to balance search capabilities in various RDN systems. The proposed method is applied to IEEE-33, IEEE-69 and IEEE-119 systems to solve the problem of simultaneous allocation of DGs and SCs. Simulation results show that the energy loss of the system is reduced and the stability is improved after reconfiguration. By repeating the experiment independently with the traditional PSO algorithm, the comparative analysis of the results proves the superior performance of the improved algorithm. By comparing with the results in recent literature, it reveals the effectiveness of the proposed PSO-OS algorithm in finding the optimal position and capacity of DGs and SCs in the distribution network. © 2021. All Rights Reserved.

关键词： Sensitivity analysis

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Reinforcement Learning Based Dynamic Spectrum Access in Cognitive Internet of Vehicles

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China communications 2021年第7期18卷 58-68页

作者： Xin Liu Can Sun Mu Zhou Bin Lin Yuto Lim School of Information and Communication Engineering Dalian University of TechnologyDalian 116024China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710071China Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and TelecommunicationsChongqing 400065China Department of Communication Engineering Institute of Information Science TechnologyDalian Maritime UniversityDalian 116026China School of Information Science Japan Advanced Institute of Science and TechnologyIshikawa 923-1292Japan

Cognitive Internet of Vehicles(CIoV)can improve spectrum utilization by accessing the spectrum licensed to primary user(PU)under the premise of not disturbing the PU’s ***,the traditional static spectrum access makes the CIoV unable to adapt to the various spectrum *** this paper,a reinforcement learning based dynamic spectrum access scheme is proposed to improve the transmission performance of the CIoV in the licensed spectrum,and avoid causing harmful interference to the *** frame structure of the CIoV is separated into sensing period and access period,whereby the CIoV can optimize the transmission parameters in the access period according to the spectrum decisions in the sensing *** both detection probability and false alarm probability,a Q-learning based spectrum access algorithm is proposed for the CIoV to intelligently select the optimal channel,bandwidth and transmit power under the dynamic spectrum states and various spectrum sensing *** simulations have shown that compared with the traditional non-learning spectrum access algorithm,the proposed Q-learning algorithm can effectively improve the spectral efficiency and throughput of the CIoV as well as decrease the interference power to the PU.

关键词： cognitive Internet of vehicles reinforcement learning dynamic spectrum access Q-learning spectral efficiency

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An Improved Visual Inertial Odometry in Low-Texture Environment 9th

An Improved Visual Inertial Odometry in Low-Texture Environ...

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9th International Conference on communications, Signal Processing, and Systems, CSPS 2020

作者： Song, Zi-Yuan Yan, Chen-Yang Zhou, Fei School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Key Laboratory of Optical Communication and Networks in Chongqing Chongqing400065 China

ISBN: (纸本)9789811584107

Recent trends focus on the applications of the autonomous positioning of mobile robots. To solve the limitations of pure vision simultaneous localization and mapping (SLAM) system in unknown environment with few textures, repeated scenes and obstructions, this paper adopts a tightly-coupled visual-inertial odometry (VIO) system as the overall framework. We exploit a method of feature matching by combining both point and line features to improve the system robustly. Compared with point features, line features provide more structured information of the environment and can complete the localization tasks where it is difficult to extract point features. Additionally, the line segments are further filtered and merged by the least squares algorithm for more effective tracking. Based on Plücker coordinates and orthonormal representation, the observation model of line features is given. The experiment results of the Euroc datasets show that our improved system can effectively overcome the low-texture issues and it has higher positioning accuracy. Our method supports both monocular and stereo camera, which makes it possible for more application scenarios. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Textures

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The analysis of coverage probability,ASE and EE in heterogeneous ultra-dense networks with power control

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Digital communications and networks 2020年第4期6卷 524-533页

作者： Qiaoshou Liu Zhongpei Zhang National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu611731China Key Laboratory of Optical Communication and Networks Chongqing University of Posts and TelecommunicationsChongqing400065China

The ultra-dense network is a promising technology to increase the network capacity in the forthcoming fifthgeneration(5G)mobile communication networks by deploying lots of low power Small Base Stations(SBSs)which overlap with Macro Base Stations(MBSs).The interference and energy consumption increase rapidly with the number of SBSs although each SBS transmits with small *** this paper,we model a downlink heterogeneous ultra-dense network where a lot of SBSs are randomly deployed with MBSs based on the Poisson point *** derive the coverage probability and its variance,and analyze the area spectral efficiency and energy efficiency of the network considering three Fractional Power Control(FPC)*** numerical results and Monte Carlo simulation results show that power control can mitigate the interference and balance the performances of inner-user and edge-user ***,a great improvement of energy efficiency is archived with a little loss of area spectral efficiency when FPC is ***,we analyze the effect of base stations’(BSs’)sleeping on the performance of the network when it is partially loaded.

关键词： Heterogeneous ultra-dense network Poisson point process Coverage probability Area spectral efficiency Energy efficiency

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Co‑packaged optics(CPO):status,challenges,and solutions

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Frontiers of Optoelectronics 2023年第1期16卷 1-40页

作者： Min Tan Jiang Xu Siyang Liu Junbo Feng Hua Zhang Chaonan Yao Shixi Chen Hangyu Guo Gengshi Han Zhanhao Wen Bao Chen Yu He Xuqiang Zheng Da Ming Yaowen Tu Qiang Fu Nan Qi Dan Li Li Geng Song Wen Fenghe Yang Huimin He Fengman Liu Haiyun Xue Yuhang Wang Ciyuan Qiu Guangcan Mi Yanbo Li Tianhai Chang Mingche Lai Luo Zhang Qinfen Hao Mengyuan Qin School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong KongChina HKUST Fok Ying Tung Research Institute Guangzhou 511462China The Hong Kong University of Science and Technology(Guangzhou) Guangzhou 511462China Chongqing United Micro-Electronics Center(CUMEC) Chongqing 401332China Hisense Broadband Multimedia Technologies Co. Ltd.Qingdao 266000China Institute of Microelectronics Chinese Academy of SciencesBeijing 100029China State Key Laboratory of Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China School of Microelectronics Xi’an Jiaotong UniversityXi’an 710049China Zhangjiang Laboratory Shanghai 201210China The State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Huawei Technologies Co. Ltd.Shenzhen 440307China College of Computer National University of Defense TechnologyChangsha 410073China Institute of Computing Technology Chinese Academy of SciencesBeijing 100086China

Due to the rise of 5G,IoT,AI,and high-performance computing applications,datacenter trafc has grown at a compound annual growth rate of nearly 30%.Furthermore,nearly three-fourths of the datacenter trafc resides within *** conventional pluggable optics increases at a much slower rate than that of datacenter *** gap between application requirements and the capability of conventional pluggable optics keeps increasing,a trend that is *** optics(CPO)is a disruptive approach to increasing the interconnecting bandwidth density and energy efciency by dramatically shortening the electrical link length through advanced packaging and co-optimization of electronics and *** is widely regarded as a promising solution for future datacenter interconnections,and silicon platform is the most promising platform for large-scale *** international companies(e.g.,Intel,Broadcom and IBM)have heavily investigated in CPO technology,an inter-disciplinary research feld that involves photonic devices,integrated circuits design,packaging,photonic device modeling,electronic-photonic co-simulation,applications,and *** review aims to provide the readers a comprehensive overview of the state-of-the-art progress of CPO in silicon platform,identify the key challenges,and point out the potential solutions,hoping to encourage collaboration between diferent research felds to accelerate the development of CPO technology.

关键词： Co-packaged optics Silicon photonics High-performance computing Advanced packaging External laser Optical power delivery Co-simulation Standardization Transmitter Receiver

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Integrated high-performance error correction for continuous-variable quantum key distribution

arXiv

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arXiv 2024年

作者： Zhou, Chuang Li, Yang Ma, Li Yang, Jie Huang, Wei Sun, Ao Wang, Heng Luo, Yujie Li, Yong Chen, Ziyang Lau, Francis C.M. Zhang, Yichen Yu, Song Guo, Hong Xu, Bingjie National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu610041 China College of Computer Science Chongqing University Chongqing400044 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Center for Quantum Information Technology Peking University Beijing100871 China Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performance and low-cost continuous variable quantum key distribution (CV-QKD). To solve this long-standing problem, a novel two-stage error correction method with limited precision that is suitable for integration given limited on-chip hardware resource while maintaining excellent decoding performance is proposed, and experimentally verified on a commercial FPGA. Compared to state-of-art results, the error-correction throughput can be improved more than one order of magnitude given FER © 2024, CC BY.

关键词： Error correction

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