MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)最新文献_第8页

Blind Estimation of the Carrier Powers and SNRs in PCMA Satellite Signals by Cyclic Statistics 基于循环统计的PCMA卫星信号载波功率和信噪比盲估计

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017551

Andreas Feder, Martin Hirschbeck, Wolfgang H. Gerstacker

引用次数: 1

Multicarrier DS-CDMA Based Integrated Sensing and Communication Waveform Designs 基于DS-CDMA的多载波综合传感与通信波形设计

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017835

Salil Sharma, V. Koivunen

引用次数: 0

Integrating Human Intelligence to Bypass Information Asymmetry in Procurement Decision-Making 整合人类智能绕过采购决策中的信息不对称

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017736

Peter J. Caven, S. Gopavaram, L. Camp

{"title":"Integrating Human Intelligence to Bypass Information Asymmetry in Procurement Decision-Making","authors":"Peter J. Caven, S. Gopavaram, L. Camp","doi":"10.1109/MILCOM55135.2022.10017736","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017736","url":null,"abstract":"President Biden's Executive Order on Improving the Nation's Cybersecurity included two core components to enhance the security and integrity of the software supply chain: Labels and Software Bills of Materials. The National Institute of Standards and Technology (NIST) was tasked with establishing a security labeling program. Its initial design was based on Energy Star, a voluntary labeling program established by the Environmental Protection Agency (EPA) to allow businesses to communicate energy consumption information to consumers. Similarly, the National Telecommunications and Information Administration (NTIA) defined the minimum elements for the Software Bill of Materials (SBOM). These SBOMs are analogous to nutrition facts labels, as they detail all the software components used in a product. What combination of information, on labels or bills of materials, should be provided at each stage of the acquisition lifecycle? To answer this question we built on previous research on labels, procurement standards, best practices for IoT and software, and information proposed for labeling and SBOM programs. From that, we identified candidate features (and the purposes of those features) that were potentially salient during the acquisition process. We recruited participants from the Department of Defense community to sort those features according to their importance. We conclude that neither a single label nor a list of information can adequately support risk-informed decision-making across the acquisition process. We report how participants' information requirements correlated with their work roles. We offer recommendations for the next steps to design an effective label system to support cybersecurity-aware procurement.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125666408","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: 2

An Architectural Design for Autonomous and Networked Drones 自主和网络化无人机的架构设计

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017877

Umut Can Çabuk, M. Tosun, O. Dagdeviren, Yusuf Öztürk

{"title":"An Architectural Design for Autonomous and Networked Drones","authors":"Umut Can Çabuk, M. Tosun, O. Dagdeviren, Yusuf Öztürk","doi":"10.1109/MILCOM55135.2022.10017877","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017877","url":null,"abstract":"Drone technology is evolving rapidly, offering support for many new applications every day. Off-the-shelf drone products accessible at reasonable costs are enabling new applications and research directions from crowd management, product delivery, and smart cities to security and military applications. The potential of autonomous swarm missions opens up new research avenues; however, off-the-shelf drone products, as well as most commercial projects, lack features that are required by autonomous collective multi drone missions. One potential reason is that there is no consensus on how to develop drones with cooperative operation capacity systemically. This study suggests a generalized device architecture concerning both hardware and software organization to aid developers of cooperative drones designed for multi-drone missions. The proposed architecture grants autonomy and cooperation within a swarm. An additional solution is also provided to enable ad-hoc networking for drones when the drone platform does not natively support it. The architecture is developed and deployed on ModalAI VOXL m500 developer drone to achieve cooperative swarm sensing and is validated through use cases.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975864","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

Linear, Efficient Multi-Carrier Envelope Tracking Power Amplifiers with Frequency Hopping for Phased Arrays 用于相控阵的线性、高效多载波包络跟踪跳频功率放大器

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017752

M. Navaroli, P. Draxler, Dane Malangone, Eric Brown, Edward Falcon, Jonmei J. Yan

{"title":"Linear, Efficient Multi-Carrier Envelope Tracking Power Amplifiers with Frequency Hopping for Phased Arrays","authors":"M. Navaroli, P. Draxler, Dane Malangone, Eric Brown, Edward Falcon, Jonmei J. Yan","doi":"10.1109/MILCOM55135.2022.10017752","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017752","url":null,"abstract":"An efficient, multi-carrier envelope tracking power amplifier system for next generation phased array applications, capable of frequency hopping over 500 MHz of bandwidth on four RF power amplifiers simultaneously from a single FPGA is presented with performance results. The band-limited Adagio envelope shaping technique enables multi-carrier envelope tracking to enhance RF power amplifier efficiency, while novel digital pre-distortion algorithms that generate multi-waveform models were developed to enhance linearity over wide bandwidths. Crest factor reduction algorithms were used to reduce the high PAPR that is a consequence of wide bandwidth multi-carrier signals. To validate the high efficiency and linearity of this parallelized system while frequency hopping, a combination of four different types of waveform signals, each containing two to four carriers spread across 500 MHz of bandwidth and independently frequency hopping, were tested on four separate ETPA elements simultaneously. Each of the four sub-systems demonstrated post digital pre-distortion results for spectral regrowth of better than -35 dBc, drain efficiency better than 35%, gain of 8 dB to 12 dB, and average output powers of 40 dBm to 43 dBm.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130220980","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

Space-Aerial-Ground-Sea Integrated Networks: Resource Optimization Security in 6G Networks 天空地海一体化网络:6G网络中的资源优化安全

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/milcom55135.2022.10017550

Sana Sharif, S. Zeadally, W. Ejaz

{"title":"Space-Aerial-Ground-Sea Integrated Networks: Resource Optimization Security in 6G Networks","authors":"Sana Sharif, S. Zeadally, W. Ejaz","doi":"10.1109/milcom55135.2022.10017550","DOIUrl":"https://doi.org/10.1109/milcom55135.2022.10017550","url":null,"abstract":"Future wireless networks ((beyond fifth-generation (B5G) and sixth-generation (6G) are expected to handle a large number of mobile and Internet of things (IoTs) devices by integrating space-aerial-ground-sea integrated (SAGSI) networks. Efficient resource management schemes in SAGSI networks are critical to tackle the challenges of seamless and high-quality wireless connectivity of heterogeneous devices anytime and any-where. However, keeping the security and privacy of individual and integrated networks intact while optimizing resources is essential. This paper studies and discusses security issues in SAGSI networks from a resource optimization perspective. We present a survey of recent literature on how resource optimization and security are co-related in different domains of overall networks while considering artificial intelligence, machine learning (AI/ML), Blockchain, edge computing, secure non-orthogonal multiple access (NOMA), and software-defined networking (SDN) as potential technologies for secure SAGSI networks. We also provide future research directions and challenges in secure SAGSI networks.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663013","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: 1

Multi-Agent DRL-Based Computation Offloading in Multiple RIS-Aided IoV Networks 基于多agent drl的多ris辅助IoV网络计算分流

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017765

Bishmita Hazarika, Keshav Singh, Chih-Peng Li, S. Biswas

{"title":"Multi-Agent DRL-Based Computation Offloading in Multiple RIS-Aided IoV Networks","authors":"Bishmita Hazarika, Keshav Singh, Chih-Peng Li, S. Biswas","doi":"10.1109/MILCOM55135.2022.10017765","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017765","url":null,"abstract":"This paper considers an internet of vehicles (IoV) network consisting of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) architecture aided by multi-access edge computing (MEC) servers deployed at base stations (BSs). The V2I communication is also assisted by multiple reconfigurable intelligent surfaces (RISs) for both uplink and downlink transmission. An intelligent task offloading methodology is designed to optimize the resource allocation scheme in the vehicular network which is based on the condition of the network and the priority and size of tasks. Furthermore, we also propose a multi-agent deep reinforcement learning (MA-DRL) algorithm for optimizing task offloading decision strategy and then compare its performance with benchmark DRL algorithms such as soft actor-critic (SAC), deep deterministic policy gradient (DDPG), twin delayed DDPG (TD3). Additionally, we compare the performance of the vehicle-to-BS or V2I offloading system with and without the presence of RIS in the proposed framework. Extensive numerical results are performed that demonstrate that the proposed MA-DRL-based RIS-assisted IoV network achieves higher utility, while improving the offloading rate of the tasks as well as ensuring that a higher percentage of offloaded tasks are completed compared to that of other DRL based and non-RIS assisted IoV frameworks.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129956575","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: 3

Improving Text Security Classification Towards an Automated Information Guard 改进文本安全分类，实现信息自动化防护

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017557

Ilana Heintz, John Grothendieck, Fred Bernardin, Gregory Kuperman

引用次数: 0

DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing 基于深度学习的MANET路由异常检测方法

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017842

Alex Yahja, Saeed Kaviani, Bo Ryu, Jae H. Kim, Kevin Larson

引用次数: 1

Mission Critical Resiliency with IRON 关键任务弹性与铁

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017728

Laura Poplawski Ma, Christopher Eck, David Duran, S. Zabele, Marina Gurevich, G. Lauer

引用次数: 0