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MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)最新文献

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Pub Date : 2019-11-01 DOI: 10.1109/milcom47813.2019.9021022
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引用次数: 0
Satellite Digital Channelizer with Predistorted High-Power Amplifier 带预失真高功率放大器的卫星数字信道发生器
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020784
Madhuprana Goswami, Vidhi Rana, H. Kwon, K. Pham, J. Lyke
A geostationary earth orbit satellite requires high transmitting power (e.g., 20 dBW=100 watts) because the waveform traveling distance can be more than 36,000 km. Thus, it is necessary to operate close to the saturation point in an analog high-power amplifier (HPA), thereby causing undesirable intermodulation and nonlinear impairments when multiple-accesses subband signals of different subcarriers are simultaneously transmitted. This paper considers a future digital HPA instead of an analog HPA. This is because today a digital channelizer can convert the sample stream of multiple-access subband user signals into a single sample stream before an HPA with no overlapping in samples, thereby reducing the intermodulation products significantly. In this paper, we study for the first time a digital channelizer for multiple-access user subband signals combined with a nonlinear HPA and a simple predistorter (PD). Both phase and amplitude predistortion can compensate almost perfectly for the distortion due to the HPA's nonlinear characteristics. Simulation results verify an almost negligible bit error rate (BER) degradation. Therefore, a future satellite communication system using the proposed digital channelizer, PD, and digital HPA can have high-frequency utilization efficiency, multicast, and broadcast capabilities, and gain control for each subchannel.
静止地球轨道卫星需要高发射功率(例如,20 dBW=100瓦),因为波形传播距离可以超过36,000公里。因此,在模拟高功率放大器(HPA)中,有必要在接近饱和点的地方工作,从而在同时传输不同子载波的多路访问子带信号时产生不良的互调和非线性损伤。本文考虑了未来的数字HPA取代模拟HPA。这是因为今天的数字信道转换器可以在HPA之前将多址子带用户信号的采样流转换为单个采样流,而采样中没有重叠,从而显着减少互调产物。本文首次研究了一种结合非线性HPA和简单预失真器(PD)的多址用户子带信号数字信道发生器。相位预失真和幅度预失真都可以很好地补偿由于HPA的非线性特性所造成的失真。仿真结果验证了误码率(BER)退化几乎可以忽略不计。因此,使用所提出的数字信道分配器、PD和数字HPA的未来卫星通信系统可以具有高频利用效率、组播和广播功能以及对每个子信道的增益控制。
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引用次数: 0
Efficiently Composing Validated Systems Integration Gateways for Dynamic, Diverse Data 有效地为动态、多样化的数据组成经过验证的系统集成网关
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020714
Colleen T. Rock, Nathaniel B. Soule, Benjamin Toll, Emily H. Do, James R. Milligan, M. Paulini
Software systems typically evolve independently from one another. Integration opportunities and benefits only become apparent when new users or organizations adopt the system into the composition of a new system of systems solution, typically when new use cases are identified, or tangential needs arise. This leads to systems designed to use different data formats, network protocols, interaction patterns, and other disparities unable to natively communicate with each other. When integration does occur, it is often with custom one-off solutions that bridge the networks and systems in question. While integration may be plausible and even successful, these solutions tend to be costly, slow to produce, and tightly coupled to the specific systems or, even worse, specific versions of systems that they are connecting. In this paper we examine ROGER, a composable and dynamic gateway building framework that helps to address these integration costs and complexities. The ROGER framework abstracts away the common infrastructure needed in any system-bridging middleware, fosters reuse and capability sharing through a composition-driven plug-in framework, and allows for rapid gateway construction through a policy-centric composition structure. ROGER seeks to shorten integration gateway development time, reduce the amount of code creation required to build and deploy new gateways, as well as enable in-mission adaptation and extension of gateway capabilities as mission parameters and system awareness dictates. At the heart of this dynamism and adaptability in ROGER is the Information Flow Policy (IFP), a domain specific language that describes processing pipelines over incoming data streams. This paper presents the design of the compositional model and of the IFP that describes and enables the composition. We use a set of ROGER gateways as a dataset, along with a representative case study, in initial evaluations that show promising results regarding ROGER's ability to reduce development time and cost as well as minimize required skill sets.
软件系统通常是彼此独立发展的。只有当新的用户或组织将系统采用到一个新的系统或系统解决方案的组合中时,集成的机会和好处才会变得明显,通常是在确定了新的用例,或者出现了相关的需求时。这导致设计为使用不同的数据格式、网络协议、交互模式和其他差异的系统无法本地相互通信。当集成发生时,通常是使用定制的一次性解决方案来桥接所讨论的网络和系统。虽然集成可能是合理的,甚至是成功的,但这些解决方案往往成本高,生产速度慢,并且与特定系统紧密耦合,或者更糟糕的是,与它们所连接的系统的特定版本紧密耦合。在本文中,我们研究了ROGER,它是一个可组合的动态网关构建框架,可以帮助解决这些集成成本和复杂性。ROGER框架抽象出任何系统桥接中间件所需的公共基础设施,通过组合驱动的插件框架促进重用和功能共享,并允许通过以策略为中心的组合结构快速构建网关。ROGER寻求缩短集成网关的开发时间,减少构建和部署新网关所需的代码创建量,以及根据任务参数和系统感知要求,使网关功能在任务中适应和扩展。ROGER中这种动态和适应性的核心是信息流策略(Information Flow Policy, IFP),它是一种特定于领域的语言,用于描述传入数据流上的处理管道。本文介绍了组合模型的设计以及描述和实现组合的IFP的设计。我们使用一组ROGER网关作为数据集,以及一个代表性的案例研究,在初步评估中显示了关于ROGER减少开发时间和成本以及最小化所需技能集的能力的有希望的结果。
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引用次数: 2
Massive MIMO for Tactical Ad-hoc Networks in RF Contested Environments 射频竞争环境下战术自组织网络的大规模MIMO
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020756
Asanka Kekirigoda, Kin-Ping Hui, Qingqing Cheng, Zhipeng Lin, J. A. Zhang, Diep N. Nguyen, Xiaojing Huang
Survivability of wireless communications segments in tactical military networks is an enormous challenge in the present and future defence forces, especially as these networks usually operate in radio frequency (RF) contested environments. Therefore, it is necessary to develop techniques to provide effective and efficient communication in RF contested environments. Massive multiple-input-multiple-output (MIMO) techniques use a large number of antennas enabling higher degrees of freedom that can improve communications network's survivability and efficiency compared to conventional MIMO or single antenna systems. This paper presents a novel massive MIMO communications system which enhances the throughput of the network, reduces the bit-error-rate and mitigates the interference from high powered jammers. Simulation results in contested environments verify the effectiveness of this system.
战术军事网络中无线通信部分的生存能力是当前和未来国防部队面临的巨大挑战,特别是这些网络通常在射频(RF)竞争环境中运行。因此,有必要开发在射频竞争环境中提供有效和高效通信的技术。大规模多输入多输出(MIMO)技术使用大量天线,与传统的MIMO或单天线系统相比,具有更高的自由度,可以提高通信网络的生存能力和效率。提出了一种新型的大规模MIMO通信系统,提高了网络吞吐量,降低了误码率,减轻了大功率干扰机的干扰。竞争环境下的仿真结果验证了该系统的有效性。
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引用次数: 5
Experimental Evaluation of Named Data Networking (NDN) in Tactical Environments 战术环境下命名数据网络(NDN)的实验评估
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020843
Lorenzo Campioni, M. Tortonesi, Bastiaan Wissingh, Niranjan Suri, M. Hauge, L. Landmark
Tactical edge networks represent a uniquely challenging environment from the communications perspective, due to their limited bandwidth and high node mobility. Several middleware communication solutions have been proposed to address those issues, adopting an evolutionary design approach that requires facing quite a few complications to provide applications with a suited network programming model while building on top of the TCP/IP stack. Information Centric Networking (ICN), instead, represents a revolutionary, clean slate approach that aims at replacing the entire TCP/IP stack with a new communication paradigm, better suited to cope with fluctuating channel conditions and network disruptions. This paper, stemmed from research conducted within NATO IST-161 RTG, investigates the effectiveness of Named Data Networking (NDN), the de facto standard implementation of ICN, in the context of tactical edge networks and its potential for adoption. We evaluated an NDN-based Blue Force Tracking (BFT) dissemination application within the Anglova scenario emulation environment, and found that NDN obtained better-than-expected results in terms of delivery ratio and latency, at the expense of a relatively high bandwidth consumption.
从通信的角度来看,战术边缘网络由于其有限的带宽和高节点移动性,代表了一个独特的具有挑战性的环境。为了解决这些问题,已经提出了几种中间件通信解决方案,采用了一种渐进的设计方法,这种方法需要面对相当多的复杂性,以便在TCP/IP堆栈之上构建时为应用程序提供合适的网络编程模型。相反,信息中心网络(ICN)代表了一种革命性的、全新的方法,旨在用一种新的通信范式取代整个TCP/IP堆栈,更适合于应对波动的信道条件和网络中断。本文源于北约IST-161 RTG内部进行的研究,调查了命名数据网络(NDN)在战术边缘网络及其采用潜力背景下的有效性,NDN是ICN的事实上的标准实施。我们在Anglova场景仿真环境中对基于NDN的蓝军跟踪(BFT)传播应用进行了评估,发现NDN在交付率和延迟方面取得了好于预期的结果,但代价是相对较高的带宽消耗。
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引用次数: 3
Exploring the Application of Homomorphic Encryption to a Cross Domain Solution 探讨同态加密在跨域解中的应用
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9021015
Cody W Tinker, Kevin Millar, A. Kaminsky, M. Kurdziel, M. Lukowiak, S. Radziszowski
A Cross Domain Solution (CDS) is a means of secure information exchange that provides the ability to access or transfer digital data between varying security domains. Most existing CDS methods focus on risk management policies that rely on using protected or trusted parties to process the information in order to solve this problem. A CDS that is able to function in the presence of untrusted parties is a challenge. We apply the concepts of homomorphic encryption (HE) to explore a new solution to the CDS problem. We built a practical software case study application using the Yet Another Somewhat Homomorphic Encryption Scheme (YASHE) around the specific challenge of evaluating the gateway bypass condition on encrypted data. We assess the feasibility of such an application through performance and memory profiling in order to find a parameter selection that ensures proper homomorphic evaluation. The correctness of the application was assured for 64-, 72-, 96-, and 128-bit security parameter selections of YASHE resulting in high latency performance. The computing time required by our proof-of-concept implementation may be high but this approach allows the manual process employed in current systems to be eliminated.
跨域解决方案(CDS)是一种安全信息交换手段,它提供了在不同安全域之间访问或传输数字数据的能力。大多数现有的CDS方法侧重于风险管理策略,这些策略依赖于使用受保护或受信任的各方来处理信息,以解决这个问题。能够在不受信任的各方存在的情况下发挥作用的CDS是一个挑战。我们应用同态加密(HE)的概念来探索CDS问题的新解决方案。我们使用另一种同态加密方案(YASHE)构建了一个实用的软件案例研究应用程序,围绕评估加密数据的网关绕过条件的具体挑战。我们通过性能和内存分析来评估这种应用程序的可行性,以便找到确保适当同态评估的参数选择。对于YASHE的64位、72位、96位和128位安全参数选择,保证了应用程序的正确性,从而产生了高延迟性能。我们的概念验证实现所需的计算时间可能很高,但这种方法可以消除当前系统中使用的手动过程。
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引用次数: 2
An Integrated Software-Defined Battlefield Network Testbed for Tactical Scenario Emulation 一种用于战术场景仿真的集成软件定义战场网络试验台
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020764
Qi Zhao, Adam J. Brown, J. H. Kim, M. Gerla
Software-Defined Network (SDN) based battlefield network consists of network providers, such as Satellite Communication (SATCOM) systems and Unmanned Aerial Vehicles (UAVs), and users as battlefield entities. Battlefield entities, commonly equipped with multiple terminals, can obtain multiple communication links for multiple applications and system robustness. To better utilize the network resources and improve the communication performance for such network, we developed an integrated Software-Defined Network emulation testbed to support various tactical scenarios. In our continuing research, our proposed framework couples SDN and Multi-Path TCP (MPTCP) with a smart agent for real-time traffic optimization based on the Flow Deviation Method (FDM). In this paper, we enhance the testbed with greater control over traffic generation, ampler visualization options, dynamic link management to simulate network events, and support of larger topologies. Iterative experimentation, regression testing, and comparative analysis attest to the functionality and scalability of our integrated testbed, in support of further research and study on battlefield network and other tactical network environments.
基于软件定义网络(SDN)的战场网络包括网络提供商,如卫星通信(SATCOM)系统和无人机(uav),以及作为战场实体的用户。战场实体通常配备多个终端,可以获得多个通信链路,用于多种应用,具有系统鲁棒性。为了更好地利用网络资源,提高这种网络的通信性能,我们开发了一个集成的软件定义网络仿真试验台,以支持各种战术场景。在我们继续的研究中,我们提出的框架将SDN和多路径TCP (MPTCP)与基于流量偏差法(FDM)的实时流量优化智能代理结合起来。在本文中,我们通过更好地控制流量生成、放大器可视化选项、动态链路管理来模拟网络事件以及支持更大的拓扑来增强测试平台。迭代实验、回归测试和对比分析证明了我们集成测试平台的功能和可扩展性,为战场网络和其他战术网络环境的进一步研究提供了支持。
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引用次数: 7
A Cognitive ML Agent for Airborne Networking 机载网络的认知机器学习代理
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020975
F. D. Kronewitter, Sumner Lee, Kenneth. Oliphant, Dell. Kronewitter, Kenneth. Oliphant
This conference note describes a Deep Reinforcement Learning architecture specifically designed to improve wireless network performance over a heterogeneous airborne wireless network consisting of multiple waveforms, antennas, platforms, link protocols, frequencies, spatial transmission, and codes. The cooperative optimization of this high dimensional space is a difficult problem which obviously has a highly correlated characterization where human network operators cannot possibly capture these correlations. Model-free Reinforcement Learning techniques represent a potential solution to our problem. Specifically, we use Deep Q-Learning Networks (DQN) to improve networking performance. We have developed a high-fidelity network simulation tool we call Tactical Airborne Network Simulator (TANS) which we use to train our neural network before deploying to the field where the asset is deployed to some mission which is hopefully somewhat similar to the scenarios used for training. By utilizing the model developed under the TANS training scenarios for the target mission scenario our learning technique gets a head start, rather than using a truly model-free approach. Our technique is codified in the ML community as “Deep Transfer Learning” [4] where terms and metrics have been examined. This paper represents an initial investigation into both the decision support agent architecture and the ML technique. Upcoming research will be described below including our vision for an expanded agent architecture as well as ideas for improved ML techniques which ultimately will result in better wireless network performance. Here we demonstrate a minor throughput performance improvement of 4% using a proof of concept agent over the use of a standard unassisted network. We improved the throughput from 309kbps to 324 kbps.
本会议记录描述了一种深度强化学习架构,专门用于在由多种波形、天线、平台、链路协议、频率、空间传输和代码组成的异构机载无线网络上提高无线网络性能。这个高维空间的协同优化是一个难题,它显然具有高度相关的特征,而人类网络运营商不可能捕捉到这些相关性。无模型强化学习技术代表了我们问题的潜在解决方案。具体来说,我们使用深度q -学习网络(DQN)来提高网络性能。我们开发了一种高保真网络仿真工具,我们称之为战术机载网络模拟器(TANS),我们用它来训练我们的神经网络,然后部署到战场上,在那里,资产被部署到一些任务中,希望与用于训练的场景有些相似。通过将TANS训练场景下开发的模型用于目标任务场景,我们的学习技术获得了一个良好的开端,而不是使用真正的无模型方法。我们的技术在ML社区中被编码为“深度迁移学习”[4],其中的术语和指标已经被检查过。本文对决策支持代理体系结构和机器学习技术进行了初步研究。接下来的研究将在下面描述,包括我们对扩展代理架构的愿景,以及改进机器学习技术的想法,这些技术最终将带来更好的无线网络性能。在这里,我们展示了使用概念验证代理比使用标准的无辅助网络提高4%的吞吐量性能。我们将吞吐量从309kbps提高到324kbps。
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引用次数: 0
Combined Interference and Communications Strategy as a Defense Mechanism in Cognitive Radio Military Networks 认知无线电军事网络中联合干扰与通信策略的防御机制
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9020787
Marcelo Camilo, D. Moura, R. Salles
Tactical wireless networks have different requirements and characteristics. Among these requirements, we can highlight physical layer security. An efficient way to increase the secrecy in wireless systems is to degrade the decoding capability of the eavesdroppers by introducing controlled interference or artificial noise. However, in tactical networks, there are situations in which the radio can not interfere, e.g. under severe power supply restrictions or if the enemy can detect radio position if it interferes. Moreover, there are also typical situations in which the radio does not need to interfere and therefore can save energy, e.g. transmission of low cruciality messages or radio usage in enemy-free areas. In this paper, we propose a Combined Interference and Communication strategy as defense against message interception in Cognitive Radio Military Networks. This strategy is grounded on interfering only under specific Cognitive Radio Military Networks requirements and characteristics. Numerical experiments show that we achieve a great energy saving in respect to [3] and [4] in several scenarios, reducing the receiver detection factor.
战术无线网络具有不同的要求和特点。在这些需求中,我们可以强调物理层的安全性。提高无线系统保密性的有效途径是通过引入可控干扰或人工噪声来降低窃听者的解码能力。然而,在战术网络中,存在无线电不能干扰的情况,例如,在严重的电源限制下,或者如果敌人可以探测到无线电位置,如果它干扰。此外,还有无线电不需要干扰的典型情况,因此可以节省能源,例如传输低关键信息或在无敌人地区使用无线电。在认知无线电军事网络中,提出了一种抗干扰与通信相结合的防御信息截获策略。该策略仅基于特定的认知无线电军事网络要求和特征下的干扰。数值实验表明,在几种情况下,我们相对于[3]和[4]实现了很大的节能,降低了接收机检测因子。
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引用次数: 1
On A Method to Evaluate Satellite Link Performance to Optimize Power 基于功率优化的卫星链路性能评估方法研究
Pub Date : 2019-11-01 DOI: 10.1109/MILCOM47813.2019.9021023
L. Gonzalez, J. Rippon
The Wideband Global SATCOM system (WGS) satellite has the unique means to set sub-channel gain for a specific link or bandwidth segment. This capability allows for a wide range of data rates for a specific uplink signal-to-noise ratio (SNR)up. However, arbitrarily selecting a data rate for a given (SNR)up can utilize satellite power inefficiently. This paper develops a method to determine the practical upper bound of data rate to (SNR)up, quantify the impact to satellite power when exceeding this upper bound, and determine the channel gain as a function of (SNR)up, data rate, intermodulation (IM) noise, and overall transponder drive level.
宽带全球卫星通信系统(WGS)卫星具有为特定链路或带宽段设置子信道增益的独特方法。这种能力允许广泛的数据速率为特定的上行信噪比(SNR)上升。然而,在给定信噪比的情况下,任意选择数据速率会导致卫星功率利用率低下。本文开发了一种方法来确定数据率(信噪比)上升的实际上限,量化超过该上限时对卫星功率的影响,并确定信道增益作为(信噪比)上升、数据率、互调(IM)噪声和整体应答器驱动电平的函数。
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引用次数: 0
期刊
MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)
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