Pub Date : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211224
Shiwei Li, Fangqing Tan, Qiang Liu
Combining cell-free massive multiple-input multiple-output (CF-mMIMO) and mobile edge computing (MEC) facilitates the processing of compute-intensive and latency-sensitive tasks in the distributed IoT. For MEC-enabled CF-mMIMO system, this paper designs a task offloading strategy for local computing and multi-access points (APs) collaboration. Under energy constraints, we aim to minimize the latency of computing offloading. According to the different data size of each user and the service of APs, the graph neural network method is adopted to deal with the link prediction between the user and APs.
{"title":"Mobile Edge Computing Tasking Offloading Strategy in Cell-Free Massive MIMO with Graph Neural Network","authors":"Shiwei Li, Fangqing Tan, Qiang Liu","doi":"10.1109/BMSB58369.2023.10211224","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211224","url":null,"abstract":"Combining cell-free massive multiple-input multiple-output (CF-mMIMO) and mobile edge computing (MEC) facilitates the processing of compute-intensive and latency-sensitive tasks in the distributed IoT. For MEC-enabled CF-mMIMO system, this paper designs a task offloading strategy for local computing and multi-access points (APs) collaboration. Under energy constraints, we aim to minimize the latency of computing offloading. According to the different data size of each user and the service of APs, the graph neural network method is adopted to deal with the link prediction between the user and APs.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"194 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81069758","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211213
Zehua Chen, Zhili Wang, Xingyu Chen
More and more attention has been attracted to online flow scheduling mechanisms in Time-Sensitive Networks (TSN) because of the significantly increasing demand for low delay and low jitter communication in fields such as smart factories or automatic vehicles. However, because of the lack of flow information known in advance, such as when and what kind of flows will arrive and will be scheduled, it’s easy for most online routing and scheduling methods to reach the bottleneck of flow scheduling in the scenario where there are time-triggered flows with large period differences to be scheduled, resulting in a low scheduling success rate.In this paper, a flow preprocessing method is proposed to filter flows with certain characteristics that have potential negative influence on the overall scheduling success rate or bandwidth utilization according to their periods and arrival probability. The proposed method can be easily superimposed on any kind of online routing and scheduling methods in TSN to improve performance. The flow preprocessing method is evaluated in scenarios with different numbers and types of flows, and the result shows that the flow scheduling with our preprocessing method outperform the flow scheduling without preprocessing in terms of scheduling success rate, bandwidth utilization and computation time.
{"title":"Flow Preprocessing for Online Routing and Scheduling in Time-Sensitive Networks","authors":"Zehua Chen, Zhili Wang, Xingyu Chen","doi":"10.1109/BMSB58369.2023.10211213","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211213","url":null,"abstract":"More and more attention has been attracted to online flow scheduling mechanisms in Time-Sensitive Networks (TSN) because of the significantly increasing demand for low delay and low jitter communication in fields such as smart factories or automatic vehicles. However, because of the lack of flow information known in advance, such as when and what kind of flows will arrive and will be scheduled, it’s easy for most online routing and scheduling methods to reach the bottleneck of flow scheduling in the scenario where there are time-triggered flows with large period differences to be scheduled, resulting in a low scheduling success rate.In this paper, a flow preprocessing method is proposed to filter flows with certain characteristics that have potential negative influence on the overall scheduling success rate or bandwidth utilization according to their periods and arrival probability. The proposed method can be easily superimposed on any kind of online routing and scheduling methods in TSN to improve performance. The flow preprocessing method is evaluated in scenarios with different numbers and types of flows, and the result shows that the flow scheduling with our preprocessing method outperform the flow scheduling without preprocessing in terms of scheduling success rate, bandwidth utilization and computation time.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"10 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82069011","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211244
Ran An, Zexuan Jing, Quan Zhou, Junsheng Mu
With the continuous combination of the localization field and AI methods, the accuracy of localization services has been improving. For example, in the field of indoor Localization based on WiFi fingerprint signals can be used for indoor Localization, monitoring and tracking tasks, but still faces many unsolved problems, such as poor Localization accuracy, vague floor Localization, high consumption of algorithm training samples, and data security risks. In this paper, Dual-indicator Localization Network designed based on Multitask Learning is considered for indoor Dual-indicator real-time localization based on WiFi fingerprint signals. Simulation experiments are also designed, and the analysis of the results from several dimensions such as confusion matrix, t-SNE graph, and model scoring criterion shows that the proposed DLnet network is much better than the traditional Machine Learning methods with a balance of localization accuracy and localization complexity.
{"title":"Indoor Dual-indicator Precision Localization Network based on Multitask Learning","authors":"Ran An, Zexuan Jing, Quan Zhou, Junsheng Mu","doi":"10.1109/BMSB58369.2023.10211244","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211244","url":null,"abstract":"With the continuous combination of the localization field and AI methods, the accuracy of localization services has been improving. For example, in the field of indoor Localization based on WiFi fingerprint signals can be used for indoor Localization, monitoring and tracking tasks, but still faces many unsolved problems, such as poor Localization accuracy, vague floor Localization, high consumption of algorithm training samples, and data security risks. In this paper, Dual-indicator Localization Network designed based on Multitask Learning is considered for indoor Dual-indicator real-time localization based on WiFi fingerprint signals. Simulation experiments are also designed, and the analysis of the results from several dimensions such as confusion matrix, t-SNE graph, and model scoring criterion shows that the proposed DLnet network is much better than the traditional Machine Learning methods with a balance of localization accuracy and localization complexity.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78974815","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}
In order to cope with the emergency scenarios, this paper proposed a heterogeneous low altitude platform deployment strategy to realize a seamless and continuous service wireless network. We designed an aerial network deployment Architecture composed of aerial base station (AeBS), aerial remote radio head (AeRRH) and millimeter-wave Unmanned Aerial Vehicle (mmW-UAV). The coverage problem of AeBS and AeRRH is solved through the circle packing algorithm and fixed coverage greedy deployment algorithm. The gradient enhanced greedy expectation maximization is used to implement the mmW-UAV to enhance local capacity. Finally, the numerical results show that the proposed strategy can effectively extend the network coverage.
{"title":"Heterogeneous Low Altitude Platforms Deployment Strategy for Emergency Network","authors":"Mengjun Yin, Wei-Jhih Lin, Shuai Wu, Xian Gao, Wenjing Li, Peng Yu, Lei Feng","doi":"10.1109/BMSB58369.2023.10211215","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211215","url":null,"abstract":"In order to cope with the emergency scenarios, this paper proposed a heterogeneous low altitude platform deployment strategy to realize a seamless and continuous service wireless network. We designed an aerial network deployment Architecture composed of aerial base station (AeBS), aerial remote radio head (AeRRH) and millimeter-wave Unmanned Aerial Vehicle (mmW-UAV). The coverage problem of AeBS and AeRRH is solved through the circle packing algorithm and fixed coverage greedy deployment algorithm. The gradient enhanced greedy expectation maximization is used to implement the mmW-UAV to enhance local capacity. Finally, the numerical results show that the proposed strategy can effectively extend the network coverage.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"3 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75990774","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211200
K. Tahkoubit, H. Shaiek, C. Alexandre, S. Faci, D. Roviras
The second generation of digital video broadcasting for terrestrial transmission (DVB-T2) and Advanced Television Systems Committee (ATSC) 3.0 are based on Orthogonal Frequency Division Multiplexing (OFDM) modulation. As known, OFDM has a very high peak-to-average power ratio (PAPR) which affects the system performance in presence of nonlinear power amplification. Many algorithms have been proposed to reduce the PAPR effect on the transmitted signal. The DVB-T2 and ATSC 3.0 standards adopted the technique of tone reservation (TR) which is based on an iterative process where a predefined kernel is applied to reduce a peak power at each iteration. In this paper, the Iterative Dichotomy PAPR reduction method (IDP) is used to reduce the PAPR of both DVB-T2 and ATSC 3.0 standards. The simulation results show that IDP-based PAPR reduction exhibits a gain of 2 dB, in terms of PAPR reduction, compared to TR.
{"title":"IDP as an alternative method to reduce the PAPR of DVB-T2 and ATSC 3.0 broadcast systems","authors":"K. Tahkoubit, H. Shaiek, C. Alexandre, S. Faci, D. Roviras","doi":"10.1109/BMSB58369.2023.10211200","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211200","url":null,"abstract":"The second generation of digital video broadcasting for terrestrial transmission (DVB-T2) and Advanced Television Systems Committee (ATSC) 3.0 are based on Orthogonal Frequency Division Multiplexing (OFDM) modulation. As known, OFDM has a very high peak-to-average power ratio (PAPR) which affects the system performance in presence of nonlinear power amplification. Many algorithms have been proposed to reduce the PAPR effect on the transmitted signal. The DVB-T2 and ATSC 3.0 standards adopted the technique of tone reservation (TR) which is based on an iterative process where a predefined kernel is applied to reduce a peak power at each iteration. In this paper, the Iterative Dichotomy PAPR reduction method (IDP) is used to reduce the PAPR of both DVB-T2 and ATSC 3.0 standards. The simulation results show that IDP-based PAPR reduction exhibits a gain of 2 dB, in terms of PAPR reduction, compared to TR.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"11 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79364408","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211097
Huai Yang, Xingyu Hou, Xia Jing, Junsheng Mu
This paper provides an overview of broadcast service technology enabled by integrated communication and navigation. The communication-navigation integration technique is based on orthogonal time frequency space (OTFS) modulation technique, OTFS is a novel two-dimensional modulation technique that can be used in high Doppler spread scenarios. OTFS has novel and important features designed in the delay-Doppler domain. In the case of high Doppler spread, OTFS can provide more significant performance improvements than OFDM. In addition, the broadcast technology empowered by the integrated communication and navigation technology is then introduced. In this paper, the existing research results are reviewed and summarized to derive the advantages of communication-navigation integrated technology-empowered broadcasting service techniques.
{"title":"Broadcast Service Technology Empowered by Integrated Communication and Navigation","authors":"Huai Yang, Xingyu Hou, Xia Jing, Junsheng Mu","doi":"10.1109/BMSB58369.2023.10211097","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211097","url":null,"abstract":"This paper provides an overview of broadcast service technology enabled by integrated communication and navigation. The communication-navigation integration technique is based on orthogonal time frequency space (OTFS) modulation technique, OTFS is a novel two-dimensional modulation technique that can be used in high Doppler spread scenarios. OTFS has novel and important features designed in the delay-Doppler domain. In the case of high Doppler spread, OTFS can provide more significant performance improvements than OFDM. In addition, the broadcast technology empowered by the integrated communication and navigation technology is then introduced. In this paper, the existing research results are reviewed and summarized to derive the advantages of communication-navigation integrated technology-empowered broadcasting service techniques.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"54 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78871840","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211100
Bei Li, Tian Xiao, Xiaomeng Zhu, Fuchang Li, Xueqin Jia, Xi Guo, Anshun Zhou, Mingde Huo, Lexi Xu, Guanghai Liu
Network co-construction and sharing can improve network efficiency, but the co-construction and sharing management in resource allocation, user behavior, network quality, etc. is complicated to solve manually. It is necessary to use new technologies to realize mutual trust, visible data, symmetrical information and equal perception. This article focuses on the development of ICDT, co-construction and sharing, puts forward the network coconstruction and sharing management based on blockchain, which realizes the data cochain of all parties, data encryption security, rights confirmation of all parties, visible data, mutual trust of all parties, which improves the efficiency of the coconstruction and sharing management. Finally, this article puts forward the prospect of federal learning and the development of a blockchain co-empowerment operator network.
{"title":"Blockchain Enabled Trustworthy Management Scheme for Network Co-Construction and Sharing","authors":"Bei Li, Tian Xiao, Xiaomeng Zhu, Fuchang Li, Xueqin Jia, Xi Guo, Anshun Zhou, Mingde Huo, Lexi Xu, Guanghai Liu","doi":"10.1109/BMSB58369.2023.10211100","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211100","url":null,"abstract":"Network co-construction and sharing can improve network efficiency, but the co-construction and sharing management in resource allocation, user behavior, network quality, etc. is complicated to solve manually. It is necessary to use new technologies to realize mutual trust, visible data, symmetrical information and equal perception. This article focuses on the development of ICDT, co-construction and sharing, puts forward the network coconstruction and sharing management based on blockchain, which realizes the data cochain of all parties, data encryption security, rights confirmation of all parties, visible data, mutual trust of all parties, which improves the efficiency of the coconstruction and sharing management. Finally, this article puts forward the prospect of federal learning and the development of a blockchain co-empowerment operator network.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"29 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77764425","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211118
Rufino Cabrera, J. Montalbán, O. Landrove, E. Iradier, P. Angueira, Willie Perez, M. Albu, Orest Sushko, Yiyan Wu, Wei Li, Z. Hong, Liang Zhang, Sung-Ik Park, Sunhyoung Kwon, N. Hur
Inter-Tower Communication Network (ITCN) is a new paradigm for digital terrestrial television infrastructure based on the novel technical features of ATSC 3.O. In the current proposal, a Remote Broadcast Center connected via Internet Protocol (IP) is used to increase the flexibility of transmitters to manage content. An ITCN protocol is developed with bidirectional communication between towers. Finally, a new service based on an IoT network is offered to exchange information on environmental parameters between both transmitters. As a result, the potential of digital broadcast networks as a bidirectional communication infrastructure is revealed through appropriate protocol definitions and physical layer configurations.
{"title":"ATSC 3.0 ITCN Prototype with Remote Studio","authors":"Rufino Cabrera, J. Montalbán, O. Landrove, E. Iradier, P. Angueira, Willie Perez, M. Albu, Orest Sushko, Yiyan Wu, Wei Li, Z. Hong, Liang Zhang, Sung-Ik Park, Sunhyoung Kwon, N. Hur","doi":"10.1109/BMSB58369.2023.10211118","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211118","url":null,"abstract":"Inter-Tower Communication Network (ITCN) is a new paradigm for digital terrestrial television infrastructure based on the novel technical features of ATSC 3.O. In the current proposal, a Remote Broadcast Center connected via Internet Protocol (IP) is used to increase the flexibility of transmitters to manage content. An ITCN protocol is developed with bidirectional communication between towers. Finally, a new service based on an IoT network is offered to exchange information on environmental parameters between both transmitters. As a result, the potential of digital broadcast networks as a bidirectional communication infrastructure is revealed through appropriate protocol definitions and physical layer configurations.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77892898","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211235
Pengyu Li, Yanxia Xing
With the emergence of scenarios that consume large amounts of data such as AI/ML (artificial intelligence and machine learning) and ISAC (Integrated sensing and communication) technologies, how to efficiently utilize data while protecting data privacy and security, reducing communication overhead, and improving data utilization efficiency have become one of the major research interests for 6G network technologies. Current mobile communication networks only use external data service nodes, and the sensing of data is based on consumer subscription, which cannot meet the data service requirements of 6G networks. We propose a data service network architecture for mobile communication networks that supports intelligent collaboration of distributed data service nodes; transforms reactive subscription mode into proactive sensing mode with the assistance of AI/ML analysis; enhances data sensing, processing and storage mechanisms through the flexible use of data rules and knowledge, thus effectively improving the overall data service capability; further, with this architecture, possible solutions are discussed in detail with emphasis on data sensing difficulties.
{"title":"New Data Network Architecture: From Reactive Post-collecting to Intelligent Proactive Pre-sensing","authors":"Pengyu Li, Yanxia Xing","doi":"10.1109/BMSB58369.2023.10211235","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211235","url":null,"abstract":"With the emergence of scenarios that consume large amounts of data such as AI/ML (artificial intelligence and machine learning) and ISAC (Integrated sensing and communication) technologies, how to efficiently utilize data while protecting data privacy and security, reducing communication overhead, and improving data utilization efficiency have become one of the major research interests for 6G network technologies. Current mobile communication networks only use external data service nodes, and the sensing of data is based on consumer subscription, which cannot meet the data service requirements of 6G networks. We propose a data service network architecture for mobile communication networks that supports intelligent collaboration of distributed data service nodes; transforms reactive subscription mode into proactive sensing mode with the assistance of AI/ML analysis; enhances data sensing, processing and storage mechanisms through the flexible use of data rules and knowledge, thus effectively improving the overall data service capability; further, with this architecture, possible solutions are discussed in detail with emphasis on data sensing difficulties.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74298062","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 : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211534
Chenshi Ding, Can Yang, Jian Xiong, Peng Cheng
With the availability of Unmanned Air Vehicles (UAVs), low-cost and multi-view drone live broadcasting can present a better live effect for outdoor events. However, small UAVs usually cannot meet the requirements of uninterrupted long-distance live broadcast tasks due to the limitation of its load capacity. In this paper, we focus on the strategy of UAV aerial replenishment with the collaborative air-ground system in order to solve the endurance problem in the marathon drone live broadcast scenario. We adopt reinforcement learning algorithm to optimize the replenishment strategy of the collaborative air-ground system based on the fixed flight path of the Task UAV. Simulation results validate that the reinforcement learning algorithm can greatly reduce the replenishment consumption and ensure the best working status of the Task UAV.
{"title":"On Collaborative Air-Ground Replenishment of Combined UAVs for Live Broadcast","authors":"Chenshi Ding, Can Yang, Jian Xiong, Peng Cheng","doi":"10.1109/BMSB58369.2023.10211534","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211534","url":null,"abstract":"With the availability of Unmanned Air Vehicles (UAVs), low-cost and multi-view drone live broadcasting can present a better live effect for outdoor events. However, small UAVs usually cannot meet the requirements of uninterrupted long-distance live broadcast tasks due to the limitation of its load capacity. In this paper, we focus on the strategy of UAV aerial replenishment with the collaborative air-ground system in order to solve the endurance problem in the marathon drone live broadcast scenario. We adopt reinforcement learning algorithm to optimize the replenishment strategy of the collaborative air-ground system based on the fixed flight path of the Task UAV. Simulation results validate that the reinforcement learning algorithm can greatly reduce the replenishment consumption and ensure the best working status of the Task UAV.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"26 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75705521","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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