Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473482
J. Mao, Arman Farhang, Lei Zhang, Zheng Chu, P. Xiao, Sai Gu
Multi-numerology multi-carrier (MN-MC) techniques are considered as essential enablers for RAN slicing in fifth-generation (5G) communication systems and beyond. However, utilization of mixed numerologies breaks the orthogonality principle defined for single-numerology orthogonal frequency division multiplexing (SN-OFDM) systems with a unified subcarrier spacing. This leads to interference between different numerologies, i.e., inter-numerology interference (INI). This paper develops metrics to quantify the level of the INI using a continuous-time approach. The derived analytical expressions of INI in terms of mean square error (MSE) and error vector magnitude (EVM) directly reveal the main contributing factors to INI, which can not be shown explicitly in a matrix form INI based on discrete-time calculations. Moreover, the study of power offset between different numerologies shows a significant impact on INI, especially for high order modulation schemes. The finding in this paper provides analytical guidance in designing multi-numerology (MN) systems, for instance, developing resource allocation schemes and interference mitigation techniques.
{"title":"Interference Analysis in Multi-Numerology OFDM Systems: A Continuous-Time Approach","authors":"J. Mao, Arman Farhang, Lei Zhang, Zheng Chu, P. Xiao, Sai Gu","doi":"10.1109/ICCWorkshops50388.2021.9473482","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473482","url":null,"abstract":"Multi-numerology multi-carrier (MN-MC) techniques are considered as essential enablers for RAN slicing in fifth-generation (5G) communication systems and beyond. However, utilization of mixed numerologies breaks the orthogonality principle defined for single-numerology orthogonal frequency division multiplexing (SN-OFDM) systems with a unified subcarrier spacing. This leads to interference between different numerologies, i.e., inter-numerology interference (INI). This paper develops metrics to quantify the level of the INI using a continuous-time approach. The derived analytical expressions of INI in terms of mean square error (MSE) and error vector magnitude (EVM) directly reveal the main contributing factors to INI, which can not be shown explicitly in a matrix form INI based on discrete-time calculations. Moreover, the study of power offset between different numerologies shows a significant impact on INI, especially for high order modulation schemes. The finding in this paper provides analytical guidance in designing multi-numerology (MN) systems, for instance, developing resource allocation schemes and interference mitigation techniques.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585282","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473522
Kohei Kato, Katsuya Suto, Koya Sato
A remote driving system (RDS) via wireless net- works is a promising solution to guarantee the safety of autonomous vehicles. In the system, a remote operator controls vehicles while watching video frames transmitted from the controlled vehicles. The conventional video streaming method decides the video resolution using the statistical quality of services (QoS) to guarantee the delay constraints; however, it may yield a long delay in best-effort wireless networks if the quality of the wireless channel suddenly changes. To cope with the issue, we propose a deterministic networking approach. A base station (BS) predicts a future QoS using a radio map and driving route of vehicles to decides the adequate video resolution that satisfies the delay constraints of RDS. BS also has a super-resolution (SR) function to enhance the quality of experience (QoE) in video streaming. Thanks to the proposed QoS prediction and video frame resolution decision, BS can use the adequate SR model for each video frame, further enhancing QoE. Using the measurement datasets of radio access networks, we confirm that the proposed RDS can provide high-quality video streaming while satisfying the delay constraints in any time-series wireless channel situations.
{"title":"Deterministic Video Streaming with Deep Learning Enabled Base Station Intervention for Stable Remote Driving System","authors":"Kohei Kato, Katsuya Suto, Koya Sato","doi":"10.1109/ICCWorkshops50388.2021.9473522","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473522","url":null,"abstract":"A remote driving system (RDS) via wireless net- works is a promising solution to guarantee the safety of autonomous vehicles. In the system, a remote operator controls vehicles while watching video frames transmitted from the controlled vehicles. The conventional video streaming method decides the video resolution using the statistical quality of services (QoS) to guarantee the delay constraints; however, it may yield a long delay in best-effort wireless networks if the quality of the wireless channel suddenly changes. To cope with the issue, we propose a deterministic networking approach. A base station (BS) predicts a future QoS using a radio map and driving route of vehicles to decides the adequate video resolution that satisfies the delay constraints of RDS. BS also has a super-resolution (SR) function to enhance the quality of experience (QoE) in video streaming. Thanks to the proposed QoS prediction and video frame resolution decision, BS can use the adequate SR model for each video frame, further enhancing QoE. Using the measurement datasets of radio access networks, we confirm that the proposed RDS can provide high-quality video streaming while satisfying the delay constraints in any time-series wireless channel situations.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132822537","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473576
M. Cox, Abderrahmen Trichili, B. Ooi, Mohamed-Slim Alouini
The effect of atmospheric turbulence on Orbital Angular Momentum (OAM) modes, which are a subset of the Laguerre-Gaussian (LG) modes, has been thoroughly studied. Other high-order basis sets such as Hermite-Gaussian (HG, which have a rectangular shape) and Ince-Gaussian modes (which have an elliptical shape) have received relatively little attention. In this work, comparative experimental measurements of low order OAM, Ince-, and Hermite-Gaussian modes in turbulence are presented. It is found that the performance of the mode sets vary dramatically in the same turbulence. Surprisingly, Ince-Gaussian modes experience lower crosstalk and mode dependent loss than LG and HG modes of similar order. This warrants further investigation: could there be an optimal basis set for optical communications in turbulence?
{"title":"Higher-Order Spatial Modes in Turbulence: Alternatives to Orbital Angular Momentum","authors":"M. Cox, Abderrahmen Trichili, B. Ooi, Mohamed-Slim Alouini","doi":"10.1109/ICCWorkshops50388.2021.9473576","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473576","url":null,"abstract":"The effect of atmospheric turbulence on Orbital Angular Momentum (OAM) modes, which are a subset of the Laguerre-Gaussian (LG) modes, has been thoroughly studied. Other high-order basis sets such as Hermite-Gaussian (HG, which have a rectangular shape) and Ince-Gaussian modes (which have an elliptical shape) have received relatively little attention. In this work, comparative experimental measurements of low order OAM, Ince-, and Hermite-Gaussian modes in turbulence are presented. It is found that the performance of the mode sets vary dramatically in the same turbulence. Surprisingly, Ince-Gaussian modes experience lower crosstalk and mode dependent loss than LG and HG modes of similar order. This warrants further investigation: could there be an optimal basis set for optical communications in turbulence?","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133752577","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473738
Hua Wu, Lu Wang, Guang Cheng, Xiaoyan Hu
Traffic classification can detect the source of traffic and can be used for network management and network security. Methods based on manually extracting features and using machine learning have become mainstream. These methods have poor results in classifying applications that use standard web services, which can cause ambiguities in application classification. In this paper, we propose the TLS Flow Sequence Network (TFSN), which can automatically learn representative features from the original TLS flow sequence and complete the classification. In addition, we also used the attention mechanism to reinforce the learned features. Compared with other similar researches, we can further identify the web services corresponding to encrypted flows in detail, and are no longer limited to application classification. We conducted experiments on the real network traffic dataset of 11 types of Google applications and 9 types of Apple applications that contain the same standard web services. It shows that TFSN has excellent performance, and the accuracy of web service recognition is more than 98%.
{"title":"Mobile Application Encryption Traffic Classification Based On TLS Flow Sequence Network","authors":"Hua Wu, Lu Wang, Guang Cheng, Xiaoyan Hu","doi":"10.1109/ICCWorkshops50388.2021.9473738","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473738","url":null,"abstract":"Traffic classification can detect the source of traffic and can be used for network management and network security. Methods based on manually extracting features and using machine learning have become mainstream. These methods have poor results in classifying applications that use standard web services, which can cause ambiguities in application classification. In this paper, we propose the TLS Flow Sequence Network (TFSN), which can automatically learn representative features from the original TLS flow sequence and complete the classification. In addition, we also used the attention mechanism to reinforce the learned features. Compared with other similar researches, we can further identify the web services corresponding to encrypted flows in detail, and are no longer limited to application classification. We conducted experiments on the real network traffic dataset of 11 types of Google applications and 9 types of Apple applications that contain the same standard web services. It shows that TFSN has excellent performance, and the accuracy of web service recognition is more than 98%.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"38 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134513394","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473681
L. Kong, Jiguang He, Y. Ai, S. Chatzinotas, B. Ottersten
The new concept named reconfigurable intelligent surfaces (RIS) is becoming an appealing enabler due to its uniqueness with having low hardware complexity and low power consumption advantages simultaneously. In this paper, an RIS-aided vehicular Adhoc network (VANET) is considered, where the beacon vehicle is enabled with a passive RIS, the communication links between the beacon vehicle and client vehicle caused due to the multipath fading effects, are modeled with Fox’s H-function distribution. This paper first models the inter-vehicle links for the given system setup and then investigates the outage probability and effective rate as performance metrics. More specifically, the unsupervised expectation-maximization (EM) algorithm is consequently used to characterize the distribution of the received signal-to-noise ratio (SNR) at the client vehicle, which is modeled as the mixture of Gaussian (MoG) distribution. The accuracy of our approach is further validated with the Kolmogorov-Smirnov (KS) goodness of fit test. The MoG-based approach successfully tackles the RIS-enabled inter-vehicle communication with an easy, accurate, and tractable solution compared to the widely used central limit theorem (CLT) method. It leads to the closed-form outage probability and effective rate expressions.
{"title":"Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks","authors":"L. Kong, Jiguang He, Y. Ai, S. Chatzinotas, B. Ottersten","doi":"10.1109/ICCWorkshops50388.2021.9473681","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473681","url":null,"abstract":"The new concept named reconfigurable intelligent surfaces (RIS) is becoming an appealing enabler due to its uniqueness with having low hardware complexity and low power consumption advantages simultaneously. In this paper, an RIS-aided vehicular Adhoc network (VANET) is considered, where the beacon vehicle is enabled with a passive RIS, the communication links between the beacon vehicle and client vehicle caused due to the multipath fading effects, are modeled with Fox’s H-function distribution. This paper first models the inter-vehicle links for the given system setup and then investigates the outage probability and effective rate as performance metrics. More specifically, the unsupervised expectation-maximization (EM) algorithm is consequently used to characterize the distribution of the received signal-to-noise ratio (SNR) at the client vehicle, which is modeled as the mixture of Gaussian (MoG) distribution. The accuracy of our approach is further validated with the Kolmogorov-Smirnov (KS) goodness of fit test. The MoG-based approach successfully tackles the RIS-enabled inter-vehicle communication with an easy, accurate, and tractable solution compared to the widely used central limit theorem (CLT) method. It leads to the closed-form outage probability and effective rate expressions.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395849","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473789
Yan Wang, Fei Ji, Q. Guan
The propagation delay is non-negligible in underwater acoustic networks (UANs) since the propagation speed is five orders of magnitude smaller than the speed of light. In this case, space and time factors are strongly coupled to determine the arrival time of a received packet, since the propagation delay depends on the spatial distribution of nodes in the network. Slotted based medium access control allows only packet sending at the beginning of a slot, which removes the time uncertainty to some extent and decouples space and time factors. More importantly, simultaneous transmissions are potential to be successful in UANs due to the difference of inter-node propagation delay. Thus, the slotted MAC is a promising approach to exploit the long propagation delay in UANs. However, different from terrestrial radio networks, packets sent at different slots may also collide at a receiver due to the long propagation delay, which is called inter-slot collisions. A guard time should be used to extend the length of the time slot, in order to remove inter-slot collisions. Considering that a long slot length may degrade the channel utilization, this paper tries to study the collisions with respect to the slot length in UANs. We find that the packet collision is highly determined by the maximal inter-node distance difference. We then derive the closed-form expression for the probability of successful transmissions in uniformly distributed network. The simulation results by NS3 verify the the trade-off between collision and channel utilization, and there exists an optimal slot length to maximize network throughput.
{"title":"Impact and Analysis of Spatial Correlation on Slotted Based MAC in UANs","authors":"Yan Wang, Fei Ji, Q. Guan","doi":"10.1109/ICCWorkshops50388.2021.9473789","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473789","url":null,"abstract":"The propagation delay is non-negligible in underwater acoustic networks (UANs) since the propagation speed is five orders of magnitude smaller than the speed of light. In this case, space and time factors are strongly coupled to determine the arrival time of a received packet, since the propagation delay depends on the spatial distribution of nodes in the network. Slotted based medium access control allows only packet sending at the beginning of a slot, which removes the time uncertainty to some extent and decouples space and time factors. More importantly, simultaneous transmissions are potential to be successful in UANs due to the difference of inter-node propagation delay. Thus, the slotted MAC is a promising approach to exploit the long propagation delay in UANs. However, different from terrestrial radio networks, packets sent at different slots may also collide at a receiver due to the long propagation delay, which is called inter-slot collisions. A guard time should be used to extend the length of the time slot, in order to remove inter-slot collisions. Considering that a long slot length may degrade the channel utilization, this paper tries to study the collisions with respect to the slot length in UANs. We find that the packet collision is highly determined by the maximal inter-node distance difference. We then derive the closed-form expression for the probability of successful transmissions in uniformly distributed network. The simulation results by NS3 verify the the trade-off between collision and channel utilization, and there exists an optimal slot length to maximize network throughput.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219167","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473640
Yuhang Wu, Fuhui Zhou, Qi-hui Wu, Yang Huang, R. Hu
Spectrum-efficient and energy-efficient communication techniques are of crucial importance in the future generation wireless communication networks. An intelligent reflecting surface (IRS)-assisted wideband cognitive radio (CR) network is proposed under the sensing-enhanced spectrum sharing mechanism. In order to maximize the sum throughput of all the secondary users (SUs), the sensing time, transmit power, sub-carrier allocation, and IRS coefficients are jointly optimized. An effective alternating optimization algorithm is proposed to solve the challenging mix-integer non-convex optimization problem. Simulation results demonstrate that the IRS can significantly improve the spectrum efficiency of the CR network. Moreover, the tradeoff between the sensing time and spectrum efficiency is revealed.
{"title":"Resource Allocation for IRS-Assisted Sensing-Enhanced Wideband CR Networks","authors":"Yuhang Wu, Fuhui Zhou, Qi-hui Wu, Yang Huang, R. Hu","doi":"10.1109/ICCWorkshops50388.2021.9473640","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473640","url":null,"abstract":"Spectrum-efficient and energy-efficient communication techniques are of crucial importance in the future generation wireless communication networks. An intelligent reflecting surface (IRS)-assisted wideband cognitive radio (CR) network is proposed under the sensing-enhanced spectrum sharing mechanism. In order to maximize the sum throughput of all the secondary users (SUs), the sensing time, transmit power, sub-carrier allocation, and IRS coefficients are jointly optimized. An effective alternating optimization algorithm is proposed to solve the challenging mix-integer non-convex optimization problem. Simulation results demonstrate that the IRS can significantly improve the spectrum efficiency of the CR network. Moreover, the tradeoff between the sensing time and spectrum efficiency is revealed.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133001535","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473782
Deepti Saraswat, M. Das
The edge computing works as an interface between the real world data, sensor nodes and cloud devices and provides intended security and privacy features. Use of smart wearable devices embedded with modern chipsets and leveraged with edge computing provides near real time monitoring, display diagnostics of state of the patient health and prevents spread of disease, even if the doctor is distantly located. In this paper, a secure smart health care system is proposed that is supported by multiple physiological sensors, smart devices and edge nodes at patient and doctor end to collect, protect, process, analyze and leverages cloud facilities to manage health records of patients. The analyzed data and requisites data are made available to the patient’s smart devices. The simulation results show that the proposed system demands low latency for patients under different medical condition to enable fast and real-time diagnosis from healthcare professionals.
{"title":"Edge-enabled Secure Healthcare System","authors":"Deepti Saraswat, M. Das","doi":"10.1109/ICCWorkshops50388.2021.9473782","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473782","url":null,"abstract":"The edge computing works as an interface between the real world data, sensor nodes and cloud devices and provides intended security and privacy features. Use of smart wearable devices embedded with modern chipsets and leveraged with edge computing provides near real time monitoring, display diagnostics of state of the patient health and prevents spread of disease, even if the doctor is distantly located. In this paper, a secure smart health care system is proposed that is supported by multiple physiological sensors, smart devices and edge nodes at patient and doctor end to collect, protect, process, analyze and leverages cloud facilities to manage health records of patients. The analyzed data and requisites data are made available to the patient’s smart devices. The simulation results show that the proposed system demands low latency for patients under different medical condition to enable fast and real-time diagnosis from healthcare professionals.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133633867","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473509
Jiayi Cong, Bin Li, Xianzhen Guo, Ruonan Zhang
In this paper, we consider a general UAV-enabled wireless communication system where a solar-powered UAV is deployed to provide continuous communication services for the ground users (GUs). To get better aerodynamic effect and longer maintaining-flight time, the fixed-wing UAV with thin-film solar cells is adopted for the ground coverage. We first divide the energy component of solar-powered UAV as the aerodynamic energy consumption, communication energy consumption and solar energy harvesting from solar cells. Then, we provide the communication capacity of the GUs in our UAV communication system. In order to obtain better throughput capacity under the precondition of continuous flight, we maximize the capacity by jointly optimizing all of the energy components of UAV and three-dimensional (3-D) flight trajectory. To solve the optimization problem, we employ deep Q-Network (DQN) to simplify the decision-making processes and improve the computational efficiency. Furthermore, we compared different retained energy and intensity variations to explore the performance of communications system. The numerical results show that the DQN algorithm can receive great reward in both maintaining-flight time and the capacity.
{"title":"Energy Management Strategy based on Deep Q-network in the Solar-powered UAV Communications System","authors":"Jiayi Cong, Bin Li, Xianzhen Guo, Ruonan Zhang","doi":"10.1109/ICCWorkshops50388.2021.9473509","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473509","url":null,"abstract":"In this paper, we consider a general UAV-enabled wireless communication system where a solar-powered UAV is deployed to provide continuous communication services for the ground users (GUs). To get better aerodynamic effect and longer maintaining-flight time, the fixed-wing UAV with thin-film solar cells is adopted for the ground coverage. We first divide the energy component of solar-powered UAV as the aerodynamic energy consumption, communication energy consumption and solar energy harvesting from solar cells. Then, we provide the communication capacity of the GUs in our UAV communication system. In order to obtain better throughput capacity under the precondition of continuous flight, we maximize the capacity by jointly optimizing all of the energy components of UAV and three-dimensional (3-D) flight trajectory. To solve the optimization problem, we employ deep Q-Network (DQN) to simplify the decision-making processes and improve the computational efficiency. Furthermore, we compared different retained energy and intensity variations to explore the performance of communications system. The numerical results show that the DQN algorithm can receive great reward in both maintaining-flight time and the capacity.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467701","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473819
Jared Miller, S. Uludag
The Unmanned Aerial Vehicle (UAV) has recently appeared as a good candidate for providing wireless network connectivity, with several advantages over traditional ground infrastructure. With the addition of on-board energy harvesting, such platforms have the potential for perpetual-endurance flight and wireless connectivity. Yet, UAV modeling, especially with respect to this combination of capabilities, is not well-understood. In this paper, we demonstrate a framework for analyzing the energy balance of simplified trajectories in three dimensions for fixed-wing aircraft with on-board solar energy harvesting, as well as integrating the trajectory into the NS3 simulator to evaluate network performance. This framework is applied to a small number of trajectory designs, showing that benefits may exist for non-circle trajectories, as well as some advantages and disadvantages of using altitude to conserve additional energy.
{"title":"Energy-Efficiency Framework for Fixed-Wing UAV Communications With Variable Altitude","authors":"Jared Miller, S. Uludag","doi":"10.1109/ICCWorkshops50388.2021.9473819","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473819","url":null,"abstract":"The Unmanned Aerial Vehicle (UAV) has recently appeared as a good candidate for providing wireless network connectivity, with several advantages over traditional ground infrastructure. With the addition of on-board energy harvesting, such platforms have the potential for perpetual-endurance flight and wireless connectivity. Yet, UAV modeling, especially with respect to this combination of capabilities, is not well-understood. In this paper, we demonstrate a framework for analyzing the energy balance of simplified trajectories in three dimensions for fixed-wing aircraft with on-board solar energy harvesting, as well as integrating the trajectory into the NS3 simulator to evaluate network performance. This framework is applied to a small number of trajectory designs, showing that benefits may exist for non-circle trajectories, as well as some advantages and disadvantages of using altitude to conserve additional energy.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115504645","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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