IEEE Journal on Miniaturization for Air and Space Systems最新文献_第3页

Environment-Aware Green UAV-Assisted, CubeSat Communication Network Energy Efficiency, and Outage Probability Analysis 环境感知绿色无人机辅助，立方体卫星通信网络能源效率和中断概率分析

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-28 DOI: 10.1109/JMASS.2024.3451011

B. Sainath;Sai Kartik Tadinada

{"title":"Environment-Aware Green UAV-Assisted, CubeSat Communication Network Energy Efficiency, and Outage Probability Analysis","authors":"B. Sainath;Sai Kartik Tadinada","doi":"10.1109/JMASS.2024.3451011","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3451011","url":null,"abstract":"Rapid advancements in the Internet of Things (IoT), uncrewed aerial vehicles (UAVs), and energy harvesting (EH) technologies can be leveraged to design and develop green and reliable cooperative Cube satellite communication (CSC) systems and networks. In this work, we propose a novel cooperative CSC system model comprising green UAVs as intelligent relays equipped with IoT sensors, intelligent processing and EH modules, and transceivers. Using a novel and intelligent probabilistic transmission policy (PTP) that we propose, CubeSats can conserve energy by deactivating transmissions in unfavorable weather conditions based on control signals from the smart UAV via a telemetry link. We extend this model to include multiple CubeSats and analyze it by deriving and evaluating network energy efficiency and its lower bound. Our numerical plots show that the proposed PTP significantly outperforms the continuous transmission policy (CTP). At a specific transmission probability of 0.125, PTP is 40 times more energy efficient than CTP. We extend the work and develop a novel and insightful performance analysis for energy efficiency outage (EEO) probability. Specifically, we derive closed-form approximate expressions for EEO probability and present numerical results. Furthermore, we analyze the performance of clustered CSC networks (CSCNs) and present numerical results to assess EEO probability, providing valuable insights for future large-scale green CSCN design and deployment.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 2","pages":"125-132"},"PeriodicalIF":0.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Satellites for Auroral Tomography in Space (SATIS) Project: Tomographic Reconstruction of the Auroral Emissions From Space 空间极光层析成像卫星（SATIS）项目：空间极光发射层析成像重构

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-23 DOI: 10.1109/JMASS.2024.3449071

Elisa Robert;Mathieu Barthelemy;Thierry Sequies

{"title":"The Satellites for Auroral Tomography in Space (SATIS) Project: Tomographic Reconstruction of the Auroral Emissions From Space","authors":"Elisa Robert;Mathieu Barthelemy;Thierry Sequies","doi":"10.1109/JMASS.2024.3449071","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3449071","url":null,"abstract":"The satellites for auroral tomography in space (SATIS) project is a mission concept that proposes to perform auroral tomography from space using imagers placed on a constellation of satellites. Auroral tomography is particularly interesting for reconstructing the flux of particles precipitating into the atmosphere. The advantage of space observations is that they avoid cloud cover problems, allowing larger set of data and with a dedicated ground-based infrastructure ensure quasi-continuous monitoring. However, the main difficulty of this mission is to synchronize orbits and attitudes of the satellites in order to observe the same volume of emission at the same time and from different perspectives. The attitude and determination control system will thus have to be very precise and stable. The data volume is also an issue especially in a monitoring point of view. Furthermore, atmospheric drag will have to be correctly considered to limit orbit disturbances and keep satellites synchronized. We present here the preliminary study of this project and the initial requirements identified to be able to perform this mission concept.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"5 4","pages":"237-245"},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Latency Optimization in UAV-Assisted Mobile Edge Computing Empowered by Caching Mechanisms 利用缓存机制优化无人机辅助移动边缘计算中的延迟

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-23 DOI: 10.1109/JMASS.2024.3448433

Heng Zhang;Zhemin Sun;Chaoqun Yang;Xianghui Cao

引用次数: 0

The Journal of Miniaturized Air and Space Systems 微型化航空航天系统杂志

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-22 DOI: 10.1109/JMASS.2024.3440776

引用次数: 0

Beam-Switching Digital Metasurface Reflectarray Antenna With Extreme Offset Illumination for Satellite Communications 用于卫星通信的具有极端偏移照明的波束切换数字元面反射阵列天线

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-21 DOI: 10.1109/JMASS.2024.3447457

Gazali Bashir;Amit K. Singh;Ankit Dubey

{"title":"Beam-Switching Digital Metasurface Reflectarray Antenna With Extreme Offset Illumination for Satellite Communications","authors":"Gazali Bashir;Amit K. Singh;Ankit Dubey","doi":"10.1109/JMASS.2024.3447457","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3447457","url":null,"abstract":"This article introduces a compact wideband beam-switching digital metasurface reflector (MSR) array antenna featuring extreme offset illumination for satellite communications in the Ka band. The MSR comprises phase-modulating subwave length unit cell elements. The unit cell consists of a cross dipole loaded with curved stubs. The arrangement of the stubs across the dipole modulates the phase characteristics of the incident electric field. An MSR composed of \u0000<inline-formula> <tex-math>$15times 15$ </tex-math></inline-formula>\u0000 metabits is designed, fabricated, and validated. The metasurface reflectarray is excited by three antipodal Vivaldi antennas with an extreme offset configuration, which effectively mitigates the blockage due to the feeding source. The measured results show highly directive, stable beam-switching characteristics over a broad spectrum ranging from 26 to 32 GHz. A beam steering range of −35° to +35° is obtained along the azimuthal plane, with a maximum measured peak gain of 19.1 dBi at 28.5 GHz and maximum beam-switching loss of 1.5 dBi. A maximum measured aperture efficiency of 35% is obtained, and a 3-dB gain bandwidth of 20.7%.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"5 4","pages":"221-227"},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Compact Wide Upper Stopband Suppression Filtering Antenna for Aerospace Applications 用于航空航天应用的紧凑型宽上止带抑制滤波天线

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-16 DOI: 10.1109/JMASS.2024.3445257

Jiawang Li;Yitong Shi;Lei Xiang

{"title":"Compact Wide Upper Stopband Suppression Filtering Antenna for Aerospace Applications","authors":"Jiawang Li;Yitong Shi;Lei Xiang","doi":"10.1109/JMASS.2024.3445257","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3445257","url":null,"abstract":"This article presents a novel wide stopband suppression millimeter wave (mmWave) filtering antenna (filtenna). A three-order resonance substrate integrated waveguide (SIW) topology structure, including a driven patch and a radiation patch, is applied to enhance the bandwidth. In contrast to traditional stacked patch antennas, this design modifies the driven and radiation patches in different shapes. The full mode SIW (FMSIW) cavity is adopted due to its high-quality (high-Q) factor, which effectively improves the antenna’s selectivity. Besides, the generation of main upper band radiation nulls is attributed to the designed FMSIW cavity. Four parasitic vertical dumbbell structures are added to increase the stopband bandwidth. A pair of U-shape slots are etched on the driven patch to generate a lower band radiation null. A polycyclic structure rather than a single radiation patch can generate another lower band radiation null. To reduce the effect of the antenna element on the ground area and increase the isolation between elements, a via array is added around it, which also slightly enhances the sideband suppression of the antenna in the upper sideband. For verification, a filtenna working for the N258 band (24.25–27.5 GHz) is designed, fabricated, and measured. The measured results show that a measured −10-dB impedance bandwidth covering from 24.25 to 29.06 GHz is successfully implemented. The average realized gain can reach 5 dBi, and the lower and upper band suppression can reach more than 30 and 19.1 dB, respectively. Furthermore, the upper stopband achieves wide suppression from 30 to 50 GHz. Overall, this filtenna is a competitive candidate for 5G mmWave applications.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"5 4","pages":"211-220"},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spectrum Sharing in Cognitive UAV Networks Based on Multiagent Reinforcement Learning 基于多智能体强化学习的认知无人机网络频谱共享

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-08-01 DOI: 10.1109/JMASS.2024.3436642

Danyang Wang;Ji Wang;Jinxiu Wang;Jin Liu

{"title":"Spectrum Sharing in Cognitive UAV Networks Based on Multiagent Reinforcement Learning","authors":"Danyang Wang;Ji Wang;Jinxiu Wang;Jin Liu","doi":"10.1109/JMASS.2024.3436642","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3436642","url":null,"abstract":"Uncrewed aerial vehicles (UAVs) have been widely used in various fields in recent years due to their affordability, mobility flexibility, and convenience. However, faced with the emergence of a large number of UAVs, the shortage of spectrum resources has become a key bottleneck that restricts the quality of service and communication efficiency of UAV networks. The cognitive radio (CR) technology can help to solve this spectrum shortage problem through spectrum-sharing technology. In order to make full use of the available spectrum resources, this article proposes a spectrum-sharing scheme based on multiagent deep reinforcement learning (DRL) in a scenario where the UAV network and terrestrial network coexist. The spectrum used by the UAVs in this scenario consists of two parts: 1) the dedicated spectrum of the UAV network and 2) the shared spectrum of the terrestrial network. The goal of our work in this article is to maximize the total throughput of the UAV network, with the maximum allowable transmission power of the UAV and the mutual interference between the UAV network and the terrestrial network as constraints. The optimization function is a mixed-integer nonconvex programming problem, DRL algorithms are an effective way to solve this problem. Therefore, we propose a multiagent DRL approach that jointly optimizes UAV signal-to-noise ratio control, power control, and access control (USPA) to effectively address this issue. Finally, by comparing with traditional algorithms, simulation results show that using the USPA algorithm can improve the effectiveness of data transmission in UAV networks.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 2","pages":"82-91"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flight Conflict Resolution Simulation Study Based on the Improved Fruit Fly Optimization Algorithm 基于改进果蝇优化算法的飞行冲突解决模拟研究

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-07-17 DOI: 10.1109/JMASS.2024.3429514

Yulong Sun;Guoshen Ding;Yandong Zhao;Renchi Zhang;Wenjun Wang

{"title":"Flight Conflict Resolution Simulation Study Based on the Improved Fruit Fly Optimization Algorithm","authors":"Yulong Sun;Guoshen Ding;Yandong Zhao;Renchi Zhang;Wenjun Wang","doi":"10.1109/JMASS.2024.3429514","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3429514","url":null,"abstract":"Due to the increasingly widespread application of unmanned aerial vehicle (UAV), the study of flight conflict resolution can effectively avoid the collision of different UAVs. First, describe flight conflict resolution as an optimization problem. Second, the improved fruit fly optimization algorithm (IFOA) is proposed. The smell concentration judgment is equal to the coordinate instead of the reciprocal of the distance in order to make the variable accessible to be negative and occur with equal probability in the defined domain. Next, introduce the limited number of searches of the Artificial Bee Colony Algorithm to avoid falling into the local optimum. Meanwhile, generate a direction and distance of the fruit fly individual through roulette. Finally, the effectiveness of the algorithm is demonstrated by computational experiments on 18 benchmark functions and the simulation of the flight conflict resolution of two and four UAVs. The results show that compared with the standard fruit fly optimization algorithm, the IFOA has superior global convergence ability and effectively reduces the delay distance, which has important potential in flight conflict resolution.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"5 3","pages":"200-209"},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142041376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MAHTD-DDPG-Based Multiobjective Resource Allocation for UAV-Assisted Wireless Network 基于mahtd - ddpg的无人机辅助无线网络多目标资源分配

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-07-01 DOI: 10.1109/JMASS.2024.3420893

Wentao Sun;Zan Li;Jia Shi;Zixuan Bai;Feng Wang;Tony Q. S. Quek

{"title":"MAHTD-DDPG-Based Multiobjective Resource Allocation for UAV-Assisted Wireless Network","authors":"Wentao Sun;Zan Li;Jia Shi;Zixuan Bai;Feng Wang;Tony Q. S. Quek","doi":"10.1109/JMASS.2024.3420893","DOIUrl":"https://doi.org/10.1109/JMASS.2024.3420893","url":null,"abstract":"As an aerial base station (BS), uncrewed aerial vehicle (UAV) has been considered as a promising platform to provide wireless data service in future networks due to its flexible, swift, and low-cost features. However, since the suddenness and randomness of ground users’ (GUs’) data requirements, it is challenging for the UAV BSs to dynamically make decisions to provide real-time data services to GUs. In a multimode UAV-assisted wireless network, we formulate a multiobjective optimization problem to minimize the average peak age of information (APAoI) and energy consumption of UAVs and to maximize the accumulated service data (ASD) for GUs. Therefore, this article proposes the multiagent hybrid twin delayed deep deterministic policy gradient (MAHTD-DDPG) algorithm with hybrid action space design, which is empowered by the centralized training and distributed execution (CTDE) framework. In the proposed algorithm, the UAVs can cooperatively make decisions by sharing the GU status information, in a result of jointly optimizing the UAV trajectory, mode selection, and transmit power. Simulation results demonstrate that our proposed approach achieves 79.6% and 120.4% higher rewards than the multiagent DDPG algorithm and HTD-DDPG algorithm, respectively.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 2","pages":"70-81"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Active V-Dipole Antenna on UAS for Receiving NOAA Polar Satellite Imagery 在无人机系统上设计有源 V-Dipole 天线以接收 NOAA 极地卫星图像

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2024-04-16 DOI: 10.1109/JMASS.2024.3389097

Curtis Manore;Alan J. Fenn;Hanumant Singh

引用次数: 0