Pub Date : 2021-05-04DOI: 10.1109/ICMCIS52405.2021.9486416
Maximilian Zocholl, A. Jousselme, Jacqueline Eaton
Lessons capture knowledge about events, actions taken and their consequences. They describe errors committed in the past that shall not be repeated in the future as well as successes and how they can be repeated. In both cases lessons may provide an advantage in future missions. They can be shared within an organisation, and across cooperating organisations providing decision makers with relevant knowledge of past experience. Being able to offer the right lessons in the right situation to the right decision makers is crucial for unlocking their benefits. However, much of the relevant content in lessons is stored is in the form of unstructured text that leads to inconveniences in their re-use. The Lessons Learned ontology project aims at enriching these lessons semantically, hence upgrading keyword-based search to semantic search, enabling the use of context information and leveraging organisational learning. This article presents potential use cases and requirements for a Lessons Learned ontology, scientific and organisational challenges for its development as well as an overview of advanced and promising methods and technologies that may create value for a future Lessons Learned ecosystem.
{"title":"Towards a NATO Lessons Learned Ontology","authors":"Maximilian Zocholl, A. Jousselme, Jacqueline Eaton","doi":"10.1109/ICMCIS52405.2021.9486416","DOIUrl":"https://doi.org/10.1109/ICMCIS52405.2021.9486416","url":null,"abstract":"Lessons capture knowledge about events, actions taken and their consequences. They describe errors committed in the past that shall not be repeated in the future as well as successes and how they can be repeated. In both cases lessons may provide an advantage in future missions. They can be shared within an organisation, and across cooperating organisations providing decision makers with relevant knowledge of past experience. Being able to offer the right lessons in the right situation to the right decision makers is crucial for unlocking their benefits. However, much of the relevant content in lessons is stored is in the form of unstructured text that leads to inconveniences in their re-use. The Lessons Learned ontology project aims at enriching these lessons semantically, hence upgrading keyword-based search to semantic search, enabling the use of context information and leveraging organisational learning. This article presents potential use cases and requirements for a Lessons Learned ontology, scientific and organisational challenges for its development as well as an overview of advanced and promising methods and technologies that may create value for a future Lessons Learned ecosystem.","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123055930","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}
Pub Date : 2021-05-04DOI: 10.1109/ICMCIS52405.2021.9486388
Apurva, S. Couturier, M. Reyer
Narrow-band communication is widely used in military operations. Due to the limited bandwidth, efficient usage of the available spectrum with limited overhead is required. In this work, we present an efficient Dynamic Spectrum Management model for distributed multi-hop networks using narrow-band waveform. The system design is made robust using a collaborative feedback technique. Each node maintains a channel availability matrix and historical channel performance information based on this feedback. The channel allocation and radio parameters are optimized using Genetic Algorithm and Q-Learning algorithm. We observe that the robust system design, along with Genetic Algorithm and Q-Learning, efficiently mitigates the interference impact on a transmission link and consequently improves the overall transmission success rate and throughput for an end-to-end transmission.
{"title":"Comparison of Q-Learning and Genetic Algorithm for Narrow-Band Cognitive Radio Networks","authors":"Apurva, S. Couturier, M. Reyer","doi":"10.1109/ICMCIS52405.2021.9486388","DOIUrl":"https://doi.org/10.1109/ICMCIS52405.2021.9486388","url":null,"abstract":"Narrow-band communication is widely used in military operations. Due to the limited bandwidth, efficient usage of the available spectrum with limited overhead is required. In this work, we present an efficient Dynamic Spectrum Management model for distributed multi-hop networks using narrow-band waveform. The system design is made robust using a collaborative feedback technique. Each node maintains a channel availability matrix and historical channel performance information based on this feedback. The channel allocation and radio parameters are optimized using Genetic Algorithm and Q-Learning algorithm. We observe that the robust system design, along with Genetic Algorithm and Q-Learning, efficiently mitigates the interference impact on a transmission link and consequently improves the overall transmission success rate and throughput for an end-to-end transmission.","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132908541","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}
Pub Date : 2021-05-04DOI: 10.1109/ICMCIS52405.2021.9486402
Luis Bastos, G. Capela, Alper Koprulu, G. Elzinga
5G specifications and technologies implementing the International Telecommunications Union (ITU) IMT-2020 vision represent a paradigm shift in International Mobile Telecommunication (IMT) standards compared to previous IMT generations. 5G is poised to push the technology limits in many areas, particularly at the radio interface level. With the first 5G rollouts taking place, a lot of attention to 5G is being given by many actors, including the military. As with any technological breakthrough, 5G is prone to significant hype and misconceptions. This paper first provides an overview of 5G technologies and identifies key 5G technology enabling features for military applications. It then proposes a number of initial reference 5G military scenarios where the use of 5G systems or technologies can bring significant benefits to military users, with a view to inform discussions on the topic and to help identify priority areas of investigation. The paper provides conclusions and recommendations to military communications stakeholders including identifying areas of further development.
{"title":"Potential of 5G technologies for military application","authors":"Luis Bastos, G. Capela, Alper Koprulu, G. Elzinga","doi":"10.1109/ICMCIS52405.2021.9486402","DOIUrl":"https://doi.org/10.1109/ICMCIS52405.2021.9486402","url":null,"abstract":"5G specifications and technologies implementing the International Telecommunications Union (ITU) IMT-2020 vision represent a paradigm shift in International Mobile Telecommunication (IMT) standards compared to previous IMT generations. 5G is poised to push the technology limits in many areas, particularly at the radio interface level. With the first 5G rollouts taking place, a lot of attention to 5G is being given by many actors, including the military. As with any technological breakthrough, 5G is prone to significant hype and misconceptions. This paper first provides an overview of 5G technologies and identifies key 5G technology enabling features for military applications. It then proposes a number of initial reference 5G military scenarios where the use of 5G systems or technologies can bring significant benefits to military users, with a view to inform discussions on the topic and to help identify priority areas of investigation. The paper provides conclusions and recommendations to military communications stakeholders including identifying areas of further development.","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129244486","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}
Pub Date : 2021-05-04DOI: 10.1109/ICMCIS52405.2021.9486390
Sofia Bergström, J. Nilsson, U. Sterner, Ulrika Uppman
In military units the size of a brigade or a battalion, several radio networks are often needed to be interconnected into a heterogeneous network. These interconnections can be designed in many different ways.In this paper, methods improving the efficiency of OLSR routing at layer 3 for interconnecting heterogeneous networks are proposed. The proposed methods keep the overhead generated by the OLSR control traffic low, while at the same time maintaining a high packet delivery ratio. The investigated heterogeneous network consists of wideband company networks and an interconnecting mediumband network. The waveforms used in the networks were based on synchronized cooperative broadcasting (SCB). In order for SCB to be able to deliver topology information to the layer 3 router, a neighbourhood discovery procedure was developed and integrated with SCB.The results showed that efficiency was improved considerably by introducing the proposed OLSR modifications. The most effective solution required access to topology information from layer 2. However, even without access to layer 2 information a reasonably effective solution was obtained.
{"title":"Routing Designs for Tactical Heterogeneous Cooperative Broadcast Networks","authors":"Sofia Bergström, J. Nilsson, U. Sterner, Ulrika Uppman","doi":"10.1109/ICMCIS52405.2021.9486390","DOIUrl":"https://doi.org/10.1109/ICMCIS52405.2021.9486390","url":null,"abstract":"In military units the size of a brigade or a battalion, several radio networks are often needed to be interconnected into a heterogeneous network. These interconnections can be designed in many different ways.In this paper, methods improving the efficiency of OLSR routing at layer 3 for interconnecting heterogeneous networks are proposed. The proposed methods keep the overhead generated by the OLSR control traffic low, while at the same time maintaining a high packet delivery ratio. The investigated heterogeneous network consists of wideband company networks and an interconnecting mediumband network. The waveforms used in the networks were based on synchronized cooperative broadcasting (SCB). In order for SCB to be able to deliver topology information to the layer 3 router, a neighbourhood discovery procedure was developed and integrated with SCB.The results showed that efficiency was improved considerably by introducing the proposed OLSR modifications. The most effective solution required access to topology information from layer 2. However, even without access to layer 2 information a reasonably effective solution was obtained.","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134600756","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}
Pub Date : 2021-05-04DOI: 10.1109/ICMCIS52405.2021.9486424
Andrea Toma, Niccolò Cecchinato, C. Drioli, G. Foresti, G. Ferrin
A novel source localization algorithm is investigated for application to MAVs. It introduces a DOA and distance prediction method based on processing RF data. A CNN with 2-stage network is proposed to perform this task with the perspective of helping localization and enhancement of acoustic signals for UAV security applications. An experimental sensor data streaming architecture is also presented where the processing complexity is concentrated on a ground station with control capacity. Experiments and results are then discussed.
{"title":"CNN-based processing of radio frequency signals for augmenting acoustic source localization and enhancement in UAV security applications","authors":"Andrea Toma, Niccolò Cecchinato, C. Drioli, G. Foresti, G. Ferrin","doi":"10.1109/ICMCIS52405.2021.9486424","DOIUrl":"https://doi.org/10.1109/ICMCIS52405.2021.9486424","url":null,"abstract":"A novel source localization algorithm is investigated for application to MAVs. It introduces a DOA and distance prediction method based on processing RF data. A CNN with 2-stage network is proposed to perform this task with the perspective of helping localization and enhancement of acoustic signals for UAV security applications. An experimental sensor data streaming architecture is also presented where the processing complexity is concentrated on a ground station with control capacity. Experiments and results are then discussed.","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721957","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}
Pub Date : 1900-01-01DOI: 10.1109/icmcis52405.2021.9486306
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icmcis52405.2021.9486306","DOIUrl":"https://doi.org/10.1109/icmcis52405.2021.9486306","url":null,"abstract":"","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130138230","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}
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