Pub Date : 2021-10-04DOI: 10.1002/9781119751717.CH8
O. Popoola, Shuja Ansari, R. I. Ansari, L. Mohjazi, Syed Ali Hassan, N. Aslam, Q. Abbasi, Muhammad Imran
{"title":"IRS‐Assisted Localization for Airborne Mobile Networks","authors":"O. Popoola, Shuja Ansari, R. I. Ansari, L. Mohjazi, Syed Ali Hassan, N. Aslam, Q. Abbasi, Muhammad Imran","doi":"10.1002/9781119751717.CH8","DOIUrl":"https://doi.org/10.1002/9781119751717.CH8","url":null,"abstract":"","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116633926","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 : 2021-10-04DOI: 10.1002/9781119751717.CH6
M. K. Shehzad, M. W. Akhtar, S. Hassan
Motivated by the need for unmanned aerial vehicle (UAV) communications in the modern era of wireless communication, this chapter focuses on a case study of millimeter‐Wave (mmWave) and teraHertz (THz) communication and the technical challenges in applying mmWave and THz frequency band for communication with UAVs. Specifically, this chapter focuses on the placement of UAVs to replace the terrestrial backhaul network with an aerial network. In addition, we address the performance of UAV‐enabled hybrid heterogeneous network (HetNet) by considering stringent communication‐related constraints, e.g. bandwidth, data rate, and signal‐to‐noise ratio (SNR). Also, the association of terrestrial small‐cell base stations (SCBs) with UAVs is addressed such that the sum rate of the overall system is maximized. To this end, an association algorithm is presented, which deals not only with the association of SCBs but also with backhaul link capacity. A detailed analysis of simulation‐based results shows a favorable performance of UAV‐assisted wireless network.
{"title":"Performance of mmWave UAV‐Assisted 5G Hybrid Heterogeneous Networks","authors":"M. K. Shehzad, M. W. Akhtar, S. Hassan","doi":"10.1002/9781119751717.CH6","DOIUrl":"https://doi.org/10.1002/9781119751717.CH6","url":null,"abstract":"Motivated by the need for unmanned aerial vehicle (UAV) communications in the modern era of wireless communication, this chapter focuses on a case study of millimeter‐Wave (mmWave) and teraHertz (THz) communication and the technical challenges in applying mmWave and THz frequency band for communication with UAVs. Specifically, this chapter focuses on the placement of UAVs to replace the terrestrial backhaul network with an aerial network. In addition, we address the performance of UAV‐enabled hybrid heterogeneous network (HetNet) by considering stringent communication‐related constraints, e.g. bandwidth, data rate, and signal‐to‐noise ratio (SNR). Also, the association of terrestrial small‐cell base stations (SCBs) with UAVs is addressed such that the sum rate of the overall system is maximized. To this end, an association algorithm is presented, which deals not only with the association of SCBs but also with backhaul link capacity. A detailed analysis of simulation‐based results shows a favorable performance of UAV‐assisted wireless network.","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115010718","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 : 2021-10-04DOI: 10.1002/9781119751717.CH5
T. D. P. Perera, D. Jayakody
{"title":"SWIPT‐PS Enabled Cache‐Aided Self‐Energized UAV for Cooperative Communication","authors":"T. D. P. Perera, D. Jayakody","doi":"10.1002/9781119751717.CH5","DOIUrl":"https://doi.org/10.1002/9781119751717.CH5","url":null,"abstract":"","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123167978","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 : 2021-10-04DOI: 10.1002/9781119751717.CH4
Rigoberto Acosta‐González, P. V. Klaine, Samuel Montejo-Sánchez, R. Souza, Lei Zhang, Muhammad Imran
{"title":"A Cooperative Multiagent Approach for Optimal Drone Deployment Using Reinforcement Learning","authors":"Rigoberto Acosta‐González, P. V. Klaine, Samuel Montejo-Sánchez, R. Souza, Lei Zhang, Muhammad Imran","doi":"10.1002/9781119751717.CH4","DOIUrl":"https://doi.org/10.1002/9781119751717.CH4","url":null,"abstract":"","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134120969","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 : 2021-10-04DOI: 10.1002/9781119751717.CH3
Amit Kachroo, S. Vishwakarma, Jacob N. Dixon, Hisham Abuella, Adithya Popuri, Q. Abbasi, C. Bunting, J. Jacob, S. Ekin
The characterization of ultra‐wideband (UWB) wireless channel is very important to design any UWB system for health‐related applications. This chapter focuses on the fundamental properties of the UWB channel and presents one of the first experimental off‐body studies between a human subject and an unmanned aerial vehicle (UAV) at 7.5 GHz of bandwidth. The study was conducted in two environments: indoors and outdoors, and the human subject in this work was patched at nine different body locations under line‐of‐sight (LoS) conditions, four different body locations under non‐line‐of‐sight (NLoS), and at two body locations for four different body postures (sitting, sleeping, standing, and bending). The idea is to determine the best patch antenna location from the captured measurement data. Akaike Information Criteria (AIC) was used for statistical testing to find the distribution that best characterizes the fading channels between different body locations and the UAV. It was found that lognormal distribution fits the fading distribution the best. Detailed time dispersion analysis is also conducted for these nine body locations and four postures channels. In conclusion, the forehead was concluded to be the best location with minimum path loss and minimum delay among all the body channels, and among all the different postures.
超宽带(UWB)无线信道的特性对于设计任何与健康相关的UWB系统都是非常重要的。本章重点介绍了UWB信道的基本特性，并介绍了7.5 GHz带宽下人类受试者与无人机(UAV)之间的首批实验体外研究之一。研究在室内和室外两种环境下进行，受试者在视线(LoS)条件下处于9个不同的身体位置，在非视线(NLoS)条件下处于4个不同的身体位置，在4种不同的身体姿势(坐、睡、站和屈)下处于2个身体位置。这个想法是从捕获的测量数据中确定最佳的贴片天线位置。利用赤池信息准则(Akaike Information Criteria, AIC)进行统计检验，找出最能表征不同体位与无人机之间衰落信道的分布。结果表明，对数正态分布最适合于衰落分布。对这9个身体位置和4个姿势通道进行了详细的时间色散分析。综上所述，前额是所有身体通道中路径损失最小、延迟最小的最佳位置，也是所有体位中路径损失最小的最佳位置。
{"title":"Ultra‐wideband Channel Measurements and Modeling for Unmanned Aerial Vehicle‐to‐Wearables (UAV2W) Systems","authors":"Amit Kachroo, S. Vishwakarma, Jacob N. Dixon, Hisham Abuella, Adithya Popuri, Q. Abbasi, C. Bunting, J. Jacob, S. Ekin","doi":"10.1002/9781119751717.CH3","DOIUrl":"https://doi.org/10.1002/9781119751717.CH3","url":null,"abstract":"The characterization of ultra‐wideband (UWB) wireless channel is very important to design any UWB system for health‐related applications. This chapter focuses on the fundamental properties of the UWB channel and presents one of the first experimental off‐body studies between a human subject and an unmanned aerial vehicle (UAV) at 7.5 GHz of bandwidth. The study was conducted in two environments: indoors and outdoors, and the human subject in this work was patched at nine different body locations under line‐of‐sight (LoS) conditions, four different body locations under non‐line‐of‐sight (NLoS), and at two body locations for four different body postures (sitting, sleeping, standing, and bending). The idea is to determine the best patch antenna location from the captured measurement data. Akaike Information Criteria (AIC) was used for statistical testing to find the distribution that best characterizes the fading channels between different body locations and the UAV. It was found that lognormal distribution fits the fading distribution the best. Detailed time dispersion analysis is also conducted for these nine body locations and four postures channels. In conclusion, the forehead was concluded to be the best location with minimum path loss and minimum delay among all the body channels, and among all the different postures.","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134031572","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 : 2021-10-04DOI: 10.1002/9781119751717.CH12
Elizabeth Basha, Jason To‐Tran, D. Young, Sean Thalken, Christopher Uramoto
Wetlands monitoring requires accurate topographic and bathymetric maps. Regular creation of these with minimal cost and reduced environmental impact, can be achieved using unmanned aerial vehicles (UAVs). This chapter introduces a set of systems needed to create this automation starting with an automatic image labeling system, an online classification system for differentiating land and water, offline bathymetric map creation, and online bathymetric map creation. All systems have been implemented, simulated, and field tested where possible.
{"title":"Airborne Systems and Underwater Monitoring","authors":"Elizabeth Basha, Jason To‐Tran, D. Young, Sean Thalken, Christopher Uramoto","doi":"10.1002/9781119751717.CH12","DOIUrl":"https://doi.org/10.1002/9781119751717.CH12","url":null,"abstract":"Wetlands monitoring requires accurate topographic and bathymetric maps. Regular creation of these with minimal cost and reduced environmental impact, can be achieved using unmanned aerial vehicles (UAVs). This chapter introduces a set of systems needed to create this automation starting with an automatic image labeling system, an online classification system for differentiating land and water, offline bathymetric map creation, and online bathymetric map creation. All systems have been implemented, simulated, and field tested where possible.","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132895176","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}
The agricultural sector is experiencing a new revolution, giving birth to the so‐called Agriculture 4.0 paradigm. It brings digital technologies in the field to support the farmers' work, enhancing the productivity of farms. In this chapter, attention is focused on the role that both Internet of things ( IoT ) and Unmanned Aerial Vehicle ( UAVs ) can play in this regard, whether used in a joint manner or not. We analyze the work being done both in recent research projects and in the literature on those topics, taking into account the role of long‐range wireless communications to enable such scenarios, and the potential of 5G and the upcoming multi‐access edge computing ( MEC ) technology, especially in rural areas, where lack of connectivity still hampers the process of digital transformation.
{"title":"Unmanned Aerial Vehicles for Agriculture: an Overview of IoT‐Based Scenarios","authors":"Bacco Manlio, Barsocchi Paolo, Gotta Alberto, Ruggeri Massimiliano","doi":"10.1002/9781119751717.CH11","DOIUrl":"https://doi.org/10.1002/9781119751717.CH11","url":null,"abstract":"The agricultural sector is experiencing a new revolution, giving birth to the so‐called Agriculture 4.0 paradigm. It brings digital technologies in the field to support the farmers' work, enhancing the productivity of farms. In this chapter, attention is focused on the role that both Internet of things (\u0000 IoT \u0000) and Unmanned Aerial Vehicle (\u0000 UAVs \u0000) can play in this regard, whether used in a joint manner or not. We analyze the work being done both in recent research projects and in the literature on those topics, taking into account the role of long‐range wireless communications to enable such scenarios, and the potential of 5G and the upcoming multi‐access edge computing (\u0000 MEC \u0000) technology, especially in rural areas, where lack of connectivity still hampers the process of digital transformation.","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124638504","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 : 2021-10-04DOI: 10.1002/9781119751717.CH9
Rabeea Basir, Saad B. Qaisar, Mudassar Ali, N. Chughtai, Muhammad Imran, Anas M. Hashmi
{"title":"Performance Analysis of UAV‐Enabled Disaster Recovery Networks","authors":"Rabeea Basir, Saad B. Qaisar, Mudassar Ali, N. Chughtai, Muhammad Imran, Anas M. Hashmi","doi":"10.1002/9781119751717.CH9","DOIUrl":"https://doi.org/10.1002/9781119751717.CH9","url":null,"abstract":"","PeriodicalId":251900,"journal":{"name":"Autonomous Airborne Wireless Networks","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126403376","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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