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检索条件"机构=Key Laboratory on Wideband Wireless Communications and Sensor Network Technology"

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Dual-Resonant Patch Antenna with Tilted Circularly Polarized Beam

Dual-Resonant Patch Antenna with Tilted Circularly Polarized...

引用

2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Yu, Jian Gu, Shan-Shan Mao, Xiao-Hui Lu, Wen-Jun Nanjing University of Posts Telecommunications Jiangsu Key Laboratory of Wireless Communications Jiangsu Nanjing China Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai200050 China

ISBN: (纸本)9781728146706

A wideband tilted circularly polarized (CP) beam dual-resonant patch antenna with low-profile is proposed. Initial size of the antenna is empirically calculated according to the eigenmode functions of the microstrip patch radiator. Pin-loaded technique is employed to tune the antenna and to lead a tilted CP characteristic. As validations, a prototype antenna on air substrate with thickness of 4mm (i.e., 0.034-wavelength) is fabricated, measured and verified at 2.6GHz-band. The proposed antenna with centered angles of 200° exhibits an impedance bandwidth up to 24.1%. It exhibits a tilted CP radiation within the elevation range of =10°40°, with 3 dB axial ratio (AR) bandwidth up to 8.2%, maximum gain at =15° up to 5.6dBic and average radiation efficiency of 91%. © 2021 IEEE.

关键词： Microstrip antennas

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A Multi-Agent Reinforcement Learning Approach for Dynamic Offloading with Partial Information-Sharing in IoT networks

A Multi-Agent Reinforcement Learning Approach for Dynamic Of...

引用

IEEE Conference on Vehicular technology (VTC)

作者： Jing Zhang Fei Shen Liang Tang Feng Yan Fei Qin Chao Wang Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China University of Chinese Academy of Sciences Beijing China National Mobile Communications Research Laboratory Southeast University Nanjing China Shanghai Huace Navigation Technology Ltd Shanghai

With the widespread adoption of resource-intensive mobile applications, mobile edge computing (MEC) has emerged as a solution to enhance the computational power of mobile user equipments (UEs) and minimize their computational delay by offloading tasks to edge servers (ESs). This paper delves into the computing offloading challenge for multiple UEs in dynamic Internet of Things (IoT) networks with partial information-sharing. In such settings, the transmission bandwidth for each UE varies over time, and they can only access the historical data of their peers. Since UEs are self-interested in offloading computational tasks to ESs that possess limited computational resources, we model the UEs’ offloading decision-making in this dynamic, privacy-bound scenario as a game. Subsequently, this game is further formulated as a multi-agent Partially Observable Markov Decision Process (POMDP). To address the POMDP and attain a near-optimal Nash equilibrium (NE) of the structured game, we introduce an algorithm grounded in multi-agent reinforcement learning, integrating Differentiable Neural Computer and Advantage Actor-Critic framework (abbreviated as DNA). Through this method, each UE autonomously decides the optimal computing offloading strategy based on its game history, without obtaining the detailed offloading policies of other UEs. Experimental outcomes reveal that DNA surpasses the state-of-the-art benchmark methods by at least 8.3% in computing offloading utilities and 3.98% in convergence rate, highlighting its effectiveness in a dynamic IoT environment with partial information-sharing between UEs.

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Beam Width Controlling Technique of Microstrip Patch Antennas Using Small, Flat and Stub-Loaded Ground Plane

Beam Width Controlling Technique of Microstrip Patch Antenna...

引用

2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2021

作者： Liu, Lu Wu, Han Pan, Ming-Ge Lu, Wen-Jun Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications 66 New Mofan Road Nanjing210003 China Key Laboratory of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai200050 China

ISBN: (纸本)9781665418287

A square microstrip patch antenna with small, flat, stub-loaded ground plane is presented. In this manner, the currents on the ground plane can be utilized and manipulated to contribute an adjustable broad beam width characteristic. On the one hand, two parasitic rectangular strips are symmetrically incorporated on the small ground plane of a square microstrip patch antenna to reduce the back-lobe radiation and expand the beamwidth. On the other hand, with the change of ground plane size and stub length, H-plane half-power beamwidth (HPBW) can be remarkably adjusted to vary from 99° to 217°, with the E-plane one less changed. Experimental studies have been performed to verify the design technique. As can be seen, ratio of H-plane and E-plane HPBW can be tuned from 1.45-2.45. © 2021 IEEE.

关键词： Slot antennas

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Age of Information Minimization in Intelligent Reflecting Surface-Aided Covert communications

Age of Information Minimization in Intelligent Reflecting Su...

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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Wang, Chao Li, Zan Zhao, Yue Ng, Derrick Wing Kwan Al-Dhahir, Naofal Xidian University State Key Laboratory of Integrated Service Network Xi'an710071 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China University of New South Wales School of Electrical Engineering and Telecommunications Sydney2052 Australia The University of Texas at Dallas Department of Electrical and Computer Engineering RichardsonTX75080 United States

ISBN: (纸本)9781665459754

In this work, we investigate the covert information freshness in intelligent reflecting surface (IRS)-aided multi antenna communications, where a public full-duplex user (Alice) and a private full-duplex user (Bob) exchange information in the presence of a watchful warden (Willie). Specifically, the covert transmission from Bob to Alice is shielded from Willie under the mask of Alice's undisguised signal transmission. To minimize the covert information age, we exploit the channel statistics to jointly design the active beamforming at Alice and Bob, the passive beamforming at the IRS, and the blocklength of the confidential data packet under the constraints of the maximum tolerable age of information (AoI) at Bob and communication covertness. Although the considered joint optimization problem is nonconvex, we employ the successive convex approximation to design an iterative algorithm to obtain an efficient suboptimal solution. Numerical results demonstrate the superiority of our proposed joint optimization algorithm and further show that the enhanced covert channel quality can reduce the required blocklength to improve information freshness. © 2022 IEEE.

关键词： Beamforming

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On Cooperative Double-IRS Aided Downlink NOMA System with Multiple Channels

On Cooperative Double-IRS Aided Downlink NOMA System with Mu...

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IEEE Conference on wireless communications and networking

作者： Zaichen Zhu Hong Wang Peiyu Wang Zheng Shi Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China National Mobile Communications Research Laboratory Southeast University Nanjing China School of Intelligent Systems Science and Engineering Jinan University Zhuhai China

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Both intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are advocated as the promising technologies to support high spectrum/energy efficiency for future wireless communications. In this paper, we investigate the effect of cooperative-IRS on transmission power consumption for downlink NOMA communication system with multiple channels. To this end, we formulate a power minimization problem for double-IRS aided downlink NOMA system with multiple channels, taking into account the constraint of each user's minimum signal-to-interference-plus-noise-ratio (SINR). In order to solve the non-convex optimization problem brought by double-IRS, we first establish the relation between the transmit power and the phase shifts, and then develop an alternative optimization algorithm to determine the optimal phase shift. Simulation results show that the performance of deploying double-IRS is significantly better than that of deploying a centralized-IRS when there are sufficient number of reflecting elements. Besides, compared with various benchmarking schemes, the proposed joint optimization algorithm can significantly reduce the transmit power consumption.

关键词： wireless communication NOMA Power demand Simulation Quality of service Interference Downlink

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Spectral Efficient Resource Allocation Algorithm in Indoor Terahertz Downlink networks 13

Spectral Efficient Resource Allocation Algorithm in Indoor T...

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13th International Conference on wireless communications and Signal Processing, WCSP 2021

作者： Zhu, Fanshu Yan, Feng Shen, Fei Xia, Weiwei Hu, Jin Shen, Lianfeng Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Shanghai Institute of Microsystemand and Information Technology Chinese Academy of Sciences Key Lab of Wireless Sensor Network and Communication Shanghai200050 China

ISBN: (纸本)9781665407854

Terahertz (THz) communication has become one of the high-profile technologies in the sixth generation (6G) mobile communication networks due to its huge bandwidth and ultra-high data transmission rate. In this paper, the resource allocation algorithm for indoor THz networks is investigated and a problem is formulated to maximize the spectral efficiency (SE). The optimization problem is decomposed into two sub-problems including sub-band allocation problem and power allocation problem. In the first stage, the sub-band allocation problem is solved using Hungarian algorithm based on the Long-User-Central-Window (LUCW) principle. In the second stage, the sequential quadratic programming (SQP) algorithm is used to obtain the optimal power allocation. Finally, simulation results show that the proposed algorithm has higher SE comparing with some conventional schemes. © 2021 IEEE.

关键词： Spectrum efficiency

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From Universe to Metaverse: IRS-Assisted Efficient Transmission for Hybrid Earth-Moon network

From Universe to Metaverse: IRS-Assisted Efficient Transmiss...

引用

IEEE Conference on Vehicular technology (VTC)

作者： Chengcheng Lv Fei Shen Feng Yan Lianfeng Shen Yi Wu Liang Tang Yu Zhao Zhiyong Bu Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China University of Chinese Academy of Sciences Beijing China National Mobile Communications Research Laboratory Southeast University Nanjing China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou China Shanghai Spacecom Satellite Technology Ltd. Shanghai China

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

To fulfill the requirements of human lunar exploration programs and establish bases on the moon in the distant future, lunar sensors (LSs) will inevitably produce a significant amount of data. It is necessary to construct the Earth-Moon metaverse in order to obtain and utilize lunar information more effectively. Due to the long communication distance between Earth and Moon as well as the lack of communication resources, a hybrid Earth-Moon metaverse network with channel model and transmission model is designed. To ensure the efficiency and stability of transmission in the network, LSs transmit lunar data to Earth clients (ECs) through the active and passive intelligent reflecting surface (IRS) deployed at relay satellites. Then, we propose a Stackelberg game model to describe the adversarial relationship between the satellites, LSs and ECs, and optimal strategies are obtained by solving the Nash equilibrium to maximize their utility. Simulations demonstrate that the network can effectively shorten the transmission delay and improve the utility of ECs and satellites.

关键词： Earth Vehicular and wireless technologies Metaverse Moon Games Nash equilibrium Vectors Delays Channel models Optimization

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Distributed Resource Allocation and Computation Offloading Based on Blockchain in Vehicle Edge Computing

Distributed Resource Allocation and Computation Offloading B...

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Future communications and networks (FCN), International Conference on

作者： Xiaoting Ruan Fei Shen Feng Yan Lianfeng Shen Yi Wu Liang Tang Yu Zhao Zhiyong Bu Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China University of Chinese Academy of Sciences Beijing China Shanghai Spacecom Satellite Technology Ltd Shanghai China National Mobile Communications Research Laboratory Southeast University Nanjing China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou China

ISBN: (数字)9798331512880

ISBN: (纸本)9798331512897

Mobile edge computing (MEC) extends cloud computing capabilities to the network edge, enabling efficient processing of compute-intensive tasks from resource-constrained devices. However, static edge servers can lead to service vulnerabilities due to dynamic user device locations. This paper introduces a vehicle edge computing (VEC) architecture, leveraging vehicles’ idle computing resources to serve as mobile edge servers for nearby vehicles. As the number of vehicles and compute-intensive tasks increases, substantial data exchanges between vehicles and edge servers raise significant security risks in VEC networks lacking security measures. To address the security challenges and manage computing resources, we integrate VEC with blockchain technology, creating a secure offloading framework. Focusing on video task offloading generated by vehicle applications, we propose a resource allocation scheme that comprehensively considers video compression, offloading decisions, bandwidth, and computational resource constraints. This scheme is formulated as a mixed, discrete, non-convex joint optimization problem aimed at maximizing system revenue. Since this type of problem is usually an NP-hard problem, discrete variable relaxation and product term replacement are applied to transform it into a convex optimization problem, and an alternating direction method of multipliers-based distributed resource allocation (ADMM-DRA) algorithm is proposed to solve it. Simulation experiments show that compared with other algorithms, ADMM-DRA can achieve the highest system revenue, effectively reduce system latency, and improve resource utilization.

关键词： Multi-access edge computing Transforms Video compression Convex functions Blockchains Resource management Servers Security Vehicle dynamics Optimization

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Task Offloading for Fog-Based Meta networks: An Energy and Delay Aware Mechanism

Task Offloading for Fog-Based Meta Networks: An Energy and D...

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Metaverse Computing, networking and Applications (MetaCom), IEEE International Conference on

作者： Chengcheng Lv Fei Shen Feng Yan Lili Cao Chao Wang Yueyue Zhang Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China University of Chinese Academy of Sciences Beijing China National Mobile Communications Research Laboratory Southeast University Nanjing China Shanghai Aerospace Electronic Technology Institute Shanghai China Shanghai Huace Navigation Technology Ltd Shanghai China

In recent years, with the rapid breakthrough and innovation of mobile communication, the meta network has become a crucial technology in people’s daily life. Cloud computing, as the most widely used ways of task processing and data storage in the meta network system, can not support the diversified applications. Fog computing is a new computing mode that expands cloud computing to the clients. It can effectively reduce the burden of cloud server processing large-scale data. However, few research can give an appropriate task offloading strategy considering the specific needs of clients for time delay and energy resource. So, this paper proposed a meta task offloading mechanism based on time delay and energy resouce priority. This mechanism can effectively shorten the delay of clients’ meta tasks, reduce energy resource, and ensure the income of fog nodes. And Stackelberg game theory is used to model the interaction between clients and fog nodes. Then, the optimal offloading strategy is obtained. Finally, We propose an Energy and Delay Awared Task Offloading(EDATO) algorithm. This algorithm can effectively improve the utility of clients and fog nodes according to clients’ demand for time delay and energy resource.

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A Novel Grant-Free Random Access Scheme for mMTC

A Novel Grant-Free Random Access Scheme for mMTC

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International Conference on Communication technology (ICCT)

作者： Xuyuan Zhao Yang Liu Cheng-Xiang Wang School of Internet of Things Engineering Jiangnan University Wuxi China Key Laboratory of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Shanghai China National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing China Purple Mountain Laboratories Nanjing China

Grant-free (GF) random access is a promising technique to support massive machine-type communication (mMTC) systems. Due to the conflicts, the performance is degraded. The repeated transmission of packets reduces the probability of conflict. In this paper, we propose a novel GF random access scheme with retransmissions. An optimal preamble allocation method is proposed to determine the size of the retransmission preamble pool. Numerical simulations are performed to validate the theoretical analysis. The proposed scheme adapts to various mMTC scenarios.

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