MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)最新文献_第10页

Base Station Deployment Optimization in Federated Networks with Multi-Hop Communication 多跳通信联邦网络中基站部署优化

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017698

Yudong Fang, David Brown

引用次数: 0

Rapid Interoperability with OverlAI Gateways 与OverlAI网关的快速互操作性

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017830

Timothy Upthegrove, G. Noubir, B. Thapa, Dan Smith, C. Funai, S. Loos, G. Kuperman

引用次数: 0

Remote and Rural Connectivity via Multi-tier Systems through SDN-Managed Drone Networks 通过sdn管理的无人机网络通过多层系统实现远程和农村连接

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017513

Alvaro del Aguila, Jonathan Valdez Mendoza, S. Mandavilli, J. Mcnair

引用次数: 0

5G-EMANE: Scalable Open-Source Real-Time 5G New Radio Network Emulator with EMANE 5G-EMANE:支持EMANE的可扩展开源实时5G新型无线网络模拟器

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017907

B. Ryu, R. Knopp, Melissa Elkadi, Deoksung Kim, Anh Le

{"title":"5G-EMANE: Scalable Open-Source Real-Time 5G New Radio Network Emulator with EMANE","authors":"B. Ryu, R. Knopp, Melissa Elkadi, Deoksung Kim, Anh Le","doi":"10.1109/MILCOM55135.2022.10017907","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017907","url":null,"abstract":"In this paper, we present a detailed design, prototype, and performance of a new, high-fidelity, scalable, Fifth Generation (5G)-New Radio (NR) Network Emulator built on EMANE: 5G-EMANE (5G Extendable Mobile Ad-hoc Network Emulator). The associated software modules are based on the Open-Air-Interface (OAI) open-source models (openairinterface.org). Thanks to EMANE's PHY layer abstraction methodology, the resulting 5G-EMANE offers powerful customization capability that can capture a wide range of scenario diversity with respect to network size, channel models, terrain effects, MIMO antennas, and mobility patterns. The 5G-EMANE also offers a full-stack LTE emulator as part of 5G's non-standalone (NSA) operational scenarios and a full-stack 5G emulator as part of 5G's standalone (SA) mode. A PHY-less version of the 5G-EMANE without PHY abstraction modeling capability, called 5GEM or 5G Layer 2 (L2) Proxy, is offered as open-source software, allowing the 5G research community to evaluate and deploy a full 5G ecosystem using a cost-effective set of commodity PC hardware units for a wide range of scenarios with realistic user-level modeling assumptions but without the complexity of PHY abstraction. Both 5G-EMANE and 5GEM are built on the Small Cell Forum's nFAPI (network functional application platform interface) which enables real-time operation of the entire LTE and 5G stack without the actual over-the-air LTE/5G PHY implementation for multi-user scenarios. 5G-EMANE affords the military community to rapidly conduct research and experimentation while utilizing and integrating LTE/5G with other tactical communications and networking protocols available in EMANE. More importantly, it enables rapid development of new 5G features needed for military usage such as sidelink (SL) without costly and time-consuming over-the-air testbed prototypes.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"28 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":"124982700","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

Reduced Complexity Adaptive Demodulation in Impulse Noise Channels 降低复杂度的脉冲噪声信道自适应解调

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017785

Kristoffer Hägglund, E. Axell, P. Eliardsson

{"title":"Reduced Complexity Adaptive Demodulation in Impulse Noise Channels","authors":"Kristoffer Hägglund, E. Axell, P. Eliardsson","doi":"10.1109/MILCOM55135.2022.10017785","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017785","url":null,"abstract":"Modern vehicles, military and civilian, often contain several closely located electronic systems that create electromagnetic interference. Such interference is often highly non-Gaussian and a more suitable statistical model than the Gaussian model is necessary to derive well-functioning receiver algorithms and to analyse the communication performance. In this work, we consider the more general Symmetric α-Stable (SαS) distribution. Demodulation is performed by computation of a log-likelihood ratio, which for the for SáS model boils down to computationally burdensome numerical solutions. Therefore, we propose to reduce the overall computational power of an interference adaptive demodulator by determination of when the noise characteristics are such that using the SαS model would provide a significant gain and when the standard Gaussian model performs well enough. The proposed algorithm is based on estimation of the SαS parameter α and $E_{b}/N_{o}$ which are compared to predetermined thresholds for the desired BEP to determine which demodulator to use. Numerical results show that the gain of the proposed algorithm, in terms of the $E_{b}/N_{o}$ required to meet a desired BEP, is in the order of 20 dB compared to using the standard Gaussian demodulator. Moreover, the performance is similar to using the optimal SαS demodulator but with significantly reduced computational power on the average.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"32 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":"125009889","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

Rate Control with Autoregressive Forecasting for High Frequency Communication 基于自回归预测的高频通信速率控制

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017499

A. Ko, Thomas Stahlbuhk, B. Shrader

引用次数: 0

An Optimal Network Control Framework for Wireless SDN: From Theory to Implementation 无线SDN的最优网络控制框架:从理论到实现

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017713

Quang Minh Nguyen, M. Rahman, Xinzhe Fu, S. Kompella, J. Macker, E. Modiano

{"title":"An Optimal Network Control Framework for Wireless SDN: From Theory to Implementation","authors":"Quang Minh Nguyen, M. Rahman, Xinzhe Fu, S. Kompella, J. Macker, E. Modiano","doi":"10.1109/MILCOM55135.2022.10017713","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017713","url":null,"abstract":"Software Defined Network (SDN) has emerged as a new programmable network paradigm that facilitates flexibility in robust control and management. Current routing protocols deployed in SDNs are based on quasi-static shortest path algorithms and operate much below the throughput capacity of the network. Though throughput-optimal and well-established in the literature, the Back-Pressure (BP) algorithm is not compatible with wireless SDN architecture. In contrast, the recently developed Universal Max-Weight (UMW) policy also achieves throughput-optimality, yet permits algorithmic structure more congruent with SDN's requirements. Unlike BP, UMW pre-computes a fixed route per-packet upon a packet arrival, which can be integrated with the flow installation phase of SDN, and uses novel easy-to-track virtual queues in place of physical queues (of backlogged packets), whose operations are not supported by SDN switches. In this paper, we propose a UMW-based routing framework for wireless SDN that achieves the full network capacity and supports an arbitrary mix of multi-type traffic. In order to improve robustness in dynamic wireless environments, we modify the UMW algorithm to enable re-routing around failed links. Finally, we develop a Mininet-based implementation of our framework to validate and evaluate its performance. Our simulation results demonstrate that, compared against the conventional SDN shortest path routing, UMW improves throughput by over 100% and significantly reduces average per-packet delay in high-throughput regime. In the presence of dynamic link failures, our results show only marginal loss in throughput, further validating UMW's effectiveness in dynamic wireless environments.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"8 7 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":"127518238","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

Performance Variation of Gray Codes for Cropped Gaussian 16PAM Constellations 裁剪高斯16PAM星座灰度码的性能变化

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017929

Brett Wiens, Daniel C. Lee

引用次数: 0

Opportunistic Power Control for Low Probability of Detection Communication 低概率检测通信的机会功率控制

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017493

Kennedy A. Lee, J. Barry

引用次数: 1

Joint Energy and Correlation Based Anti-Intercepts for Ground Combat Vehicles 基于联合能量和关联的地面作战车辆反拦截

MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) Pub Date : 2022-11-28 DOI: 10.1109/MILCOM55135.2022.10017791

Van Hau Le, T. Nguyen, K. Nguyen, Satinderbir Singh

{"title":"Joint Energy and Correlation Based Anti-Intercepts for Ground Combat Vehicles","authors":"Van Hau Le, T. Nguyen, K. Nguyen, Satinderbir Singh","doi":"10.1109/MILCOM55135.2022.10017791","DOIUrl":"https://doi.org/10.1109/MILCOM55135.2022.10017791","url":null,"abstract":"Today, ground combat vehicles (GCVs) in Warfighter Information Network-Tactical (WIN-T) systems are highly interconnected and autonomous. However, protecting a large number of wireless communication links against the interception of enemy in a dynamic environment is challenging. Because of GCV mobility, the Low Probability of Intercept (LPI) capacity is easily violated, in particular when multiple interception techniques are used simultaneously. In this paper, we investigate the problem of preserving LPI capability under traditional optimization and Deep Reinforcement Learning (DRL) approaches. Unlike prior work, we propose an anti-interception strategy against both energy-based and correlation-based interceptors techniques. Our strategy jointly optimizes power allocation (PA) and spreading factor assignment (SA) of the WIN-T to avoid these interceptors. The problem is mathematically formulated as a non-convex optimization model, and therefore we solve it by advanced techniques such as decomposition and difference of convex functions (DC). To obtain the optimized solution in near real-time, we design a Multi-Agent Deep Reinforcement Learning (MADRL) strategy. Our numerical results show the performance of the proposed MADRL strategy is close to the optimal solution, making it applicable for the practical systems.","PeriodicalId":239804,"journal":{"name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","volume":"2014 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":"121331501","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