Pub Date : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211212
D. Zou, Yangzhen Zhao, Liansheng He, Shuai Han
Satellite transmission technology is developing rapidly, and based on the satellite system's broadcast transmission ability, the satellite system's navigation and communication ability has become a hot topic of future development. In earlier research, our team proposed a satellite navigation and communication integrated technology based on spread spectrum broadband signals. The technology can significantly increase the GNSS satellite downlink broadcast rate while ensuring downward compatibility. This paper summarizes the technology and its technical system. The proposed broadcast signal consists of the navigation signal and communication signal. The navigation signal part is precisely the same as the existing GNSS signal and provides the synchronous service for the communication signal based on the original positioning service. Cyclic Code Shift Keying (CCSK) modulation is used for the communication signal. PN codes in the same family as the navigation signal are used for the spread spectrum. The communication and navigation signals are in the same frequency and phase on radio frequency and synchronized on the baseband. In order to avoid the degradation of detection performance and error performance caused by cross-correlation interference between navigation and communication signals, the code phase optimization algorithm is introduced to turn the cross-correlation function into a favorable condition and enhance the detection performance of the pilot channel and communication channel. Because of the discontinuity of the code phase set, the receiver of the signal can use the fuzzy decision algorithm to improve the fault tolerance of the system to phase jitter and synchronization deviation. Because the proposed signal system transmits information by adjusting the signal delay, the signal is susceptible to the multipath effect. To solve this problem, we design the master-slave Rake receiver strategy by taking advantage of the characteristics of the pilot and communication signal in the same frequency and phase. The Rake receiver parameters are determined through the pilot channel and applied to the communication channel. This method has little change to the receiver and can effectively compensate for the multipath effect. It does not need to occupy more frequency points in the spectrum resources and has good compatibility, which is conducive to promoting and utilizing existing GNSS equipment.
{"title":"A Downward Compatible Navigation and Communication Integrated Signal Technology","authors":"D. Zou, Yangzhen Zhao, Liansheng He, Shuai Han","doi":"10.1109/BMSB58369.2023.10211212","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211212","url":null,"abstract":"Satellite transmission technology is developing rapidly, and based on the satellite system's broadcast transmission ability, the satellite system's navigation and communication ability has become a hot topic of future development. In earlier research, our team proposed a satellite navigation and communication integrated technology based on spread spectrum broadband signals. The technology can significantly increase the GNSS satellite downlink broadcast rate while ensuring downward compatibility. This paper summarizes the technology and its technical system. The proposed broadcast signal consists of the navigation signal and communication signal. The navigation signal part is precisely the same as the existing GNSS signal and provides the synchronous service for the communication signal based on the original positioning service. Cyclic Code Shift Keying (CCSK) modulation is used for the communication signal. PN codes in the same family as the navigation signal are used for the spread spectrum. The communication and navigation signals are in the same frequency and phase on radio frequency and synchronized on the baseband. In order to avoid the degradation of detection performance and error performance caused by cross-correlation interference between navigation and communication signals, the code phase optimization algorithm is introduced to turn the cross-correlation function into a favorable condition and enhance the detection performance of the pilot channel and communication channel. Because of the discontinuity of the code phase set, the receiver of the signal can use the fuzzy decision algorithm to improve the fault tolerance of the system to phase jitter and synchronization deviation. Because the proposed signal system transmits information by adjusting the signal delay, the signal is susceptible to the multipath effect. To solve this problem, we design the master-slave Rake receiver strategy by taking advantage of the characteristics of the pilot and communication signal in the same frequency and phase. The Rake receiver parameters are determined through the pilot channel and applied to the communication channel. This method has little change to the receiver and can effectively compensate for the multipath effect. It does not need to occupy more frequency points in the spectrum resources and has good compatibility, which is conducive to promoting and utilizing existing GNSS equipment.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"84 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83891726","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/BMSB58369.2023.10211240
Alessandro Floris, Simone Porcu, L. Atzori, M. Fadda, M. Anedda, Cristinel Gavrila, V. Popescu, D. Giusto
The massive increase in Internet data traffic caused by video-streaming applications has quickly raised energy consumption and carbon dioxide emissions (CO2). Therefore, there is a certain amount of research effort for lowering energy consumption related to streaming. In this paper, we first provide an overview of the studies measuring the energy consumed by the elements of the video streaming chain and then propose an HBBTv - based architecture for reducing the energy consumption based on the user behaviour in a Smart Home (SH) environment. The architecture is discussed in terms of sustainability for the end user's Quality of Experience (QoE).
{"title":"Energy Saving Architecture based on Android TV in a Smart Home Environment","authors":"Alessandro Floris, Simone Porcu, L. Atzori, M. Fadda, M. Anedda, Cristinel Gavrila, V. Popescu, D. Giusto","doi":"10.1109/BMSB58369.2023.10211240","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211240","url":null,"abstract":"The massive increase in Internet data traffic caused by video-streaming applications has quickly raised energy consumption and carbon dioxide emissions (CO2). Therefore, there is a certain amount of research effort for lowering energy consumption related to streaming. In this paper, we first provide an overview of the studies measuring the energy consumed by the elements of the video streaming chain and then propose an HBBTv - based architecture for reducing the energy consumption based on the user behaviour in a Smart Home (SH) environment. The architecture is discussed in terms of sustainability for the end user's Quality of Experience (QoE).","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"172 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77544957","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 this paper, a terahertz metamaterial biosensor for liquid detection combined with a microfluidic technique is proposed. The model of this biosensor consists of a microfluidic channel below and metallic square split ring resonators above, leading the detect and screen abilities of this design unrelated to each other. As a result, this design allows large manufacturing errors and has a screening function and the advantage of high detection accuracy and a high degree of freedom. Because of these characteristics, this device shows great potential for the application of a label-free bio-detection in the terahertz band.
{"title":"A Terahertz Metamaterial Biosensor For Liquid Detection Combined With Microfluidic Technique","authors":"Dawei Jiang, Jianqin Deng, Lanchang Xing, Bin Wang, Linlin Qu, Muzhi Gao, Gaoyang Zhu","doi":"10.1109/BMSB58369.2023.10211465","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211465","url":null,"abstract":"In this paper, a terahertz metamaterial biosensor for liquid detection combined with a microfluidic technique is proposed. The model of this biosensor consists of a microfluidic channel below and metallic square split ring resonators above, leading the detect and screen abilities of this design unrelated to each other. As a result, this design allows large manufacturing errors and has a screening function and the advantage of high detection accuracy and a high degree of freedom. Because of these characteristics, this device shows great potential for the application of a label-free bio-detection in the terahertz band.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"11 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":"86962942","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/BMSB58369.2023.10211226
V. V. Duong, T. N. Huu, Jonghoon Yim, B. Jeon
This paper proposes a fast template matching (TM) based intra prediction for plenoptic video coding. While the conventional TM method has demonstrated itself as a potentially effective coding tool for plenoptic video, it suffers from a huge time complexity of TM search at both encoder and decoder. In this paper, we note correlation among matching pixels arising from the microlens array structure of plenoptic camera, and propose an adaptive search range (ASR) exploiting relationship between the two sizes of prediction unit and microlens. The experimental results show that our method can reduce encoding time by about 88% and 73% compared to the conventional TM method in the AI-Main and RA-Main conditions, respectively, with acceptable coding loss.
{"title":"Adaptive Search Range of Template Matching for Plenoptic Video Coding under Microlens Constraints","authors":"V. V. Duong, T. N. Huu, Jonghoon Yim, B. Jeon","doi":"10.1109/BMSB58369.2023.10211226","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211226","url":null,"abstract":"This paper proposes a fast template matching (TM) based intra prediction for plenoptic video coding. While the conventional TM method has demonstrated itself as a potentially effective coding tool for plenoptic video, it suffers from a huge time complexity of TM search at both encoder and decoder. In this paper, we note correlation among matching pixels arising from the microlens array structure of plenoptic camera, and propose an adaptive search range (ASR) exploiting relationship between the two sizes of prediction unit and microlens. The experimental results show that our method can reduce encoding time by about 88% and 73% compared to the conventional TM method in the AI-Main and RA-Main conditions, respectively, with acceptable coding loss.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"102 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86028106","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/BMSB58369.2023.10211101
Duc Nguyen, Shibasaki Takara, Yaginuma Manato
Collaborative Virtual Environments (CVEs) are shared virtual spaces that allow geographically distributed users to interact with each other and collaborate on various tasks. To deliver a realistic user experience, CVEs applications need to frequently send update messages containing information about shared objects to other peers. In this paper, we carry out a subjective experiment to investigate the impact of update frequency on user experience in a Collaborative Virtual Environment. The findings from this study can help in designing an effective CVEs system.
{"title":"Impacts of Update Frequency on User Experience in Collaborative Virtual Environments","authors":"Duc Nguyen, Shibasaki Takara, Yaginuma Manato","doi":"10.1109/BMSB58369.2023.10211101","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211101","url":null,"abstract":"Collaborative Virtual Environments (CVEs) are shared virtual spaces that allow geographically distributed users to interact with each other and collaborate on various tasks. To deliver a realistic user experience, CVEs applications need to frequently send update messages containing information about shared objects to other peers. In this paper, we carry out a subjective experiment to investigate the impact of update frequency on user experience in a Collaborative Virtual Environment. The findings from this study can help in designing an effective CVEs system.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"16 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90902724","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/BMSB58369.2023.10211135
Biao Zhang, Siya Xu, Xusong Qiu, Jingyue Tian
Federated learning (FL) is an emerging distributed machine learning paradigm that emphasizes user privacy. The majority of current federated learning systems are oriented for single task while participants in the Internet of Vehicles (IoV) demand to train different models for multiple intelligent services simultaneously. As one of transfer learning methods, multi-task learning (MTL) has the potential to integrate with federated learning to realize personalized local training. However, the existing federated multi-task learning (FMTL) algorithms are faced with the problems of high implementation complexity and communication overhead. To solve the above issues, we propose a logical-cluster-based personalized federated multi-task learning framework named pFMTL. In the framework, the multi-task model is decomposed into a basic module for extracting features and K task-specific modules for outputting inferences. We leverage logical clusters and multi-task learning to enhance the personalization and generalization capability of task models, respectively. To improve the communication efficiency further, we also design a module-wise task scheduling strategy, which supports both user module scheduling and cluster aggregation scheduling to ensure the convergence of multi-task model with less communication overhead. Finally, the simulation results imply that pFMTL can increase task accuracy and reduce communication latency compared with other benchmarks.
{"title":"Logical-Cluster-Based Personalized Federated Multi-Task Learning for Internet of Vehicles","authors":"Biao Zhang, Siya Xu, Xusong Qiu, Jingyue Tian","doi":"10.1109/BMSB58369.2023.10211135","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211135","url":null,"abstract":"Federated learning (FL) is an emerging distributed machine learning paradigm that emphasizes user privacy. The majority of current federated learning systems are oriented for single task while participants in the Internet of Vehicles (IoV) demand to train different models for multiple intelligent services simultaneously. As one of transfer learning methods, multi-task learning (MTL) has the potential to integrate with federated learning to realize personalized local training. However, the existing federated multi-task learning (FMTL) algorithms are faced with the problems of high implementation complexity and communication overhead. To solve the above issues, we propose a logical-cluster-based personalized federated multi-task learning framework named pFMTL. In the framework, the multi-task model is decomposed into a basic module for extracting features and K task-specific modules for outputting inferences. We leverage logical clusters and multi-task learning to enhance the personalization and generalization capability of task models, respectively. To improve the communication efficiency further, we also design a module-wise task scheduling strategy, which supports both user module scheduling and cluster aggregation scheduling to ensure the convergence of multi-task model with less communication overhead. Finally, the simulation results imply that pFMTL can increase task accuracy and reduce communication latency compared with other benchmarks.","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":"88805899","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/BMSB58369.2023.10211189
Devanshu Anand, Mohammed Amine Togou, Gabriel-Miro Muntean
Data traffic has skyrocketed as a result of the global proliferation of rich media services. A number of cutting-edge applications are predicted to be supported by 5G networks across the three categories: enhanced mobile broadband, ultra-reliable low latency communications, and enormous machine-type communications. The expectations and goals for the various services in the 5G networks have put a lot of pressure on mobile operators to maintain high Quality of Experience (QoE). The use of 5G Heterogeneous Networks (HetNets), which will provide consumers with the ability to be associated with either Macro Base Stations (MBS) or small cells, is one of the most promising solutions. Among the small cells, femtocells have drawn much attention recently. Yet, the most significant challenge with the deployment of femtocells is the high co-tier interference that can occur between different femtocell users. Artificial Intelligence (AI) and Machine Learning (ML)-based solutions are being incorporated in 5G networks to address this challenge. In this paper, we propose a ML Multi-Classification and Offloading Scheme (MLMCOS) to mitigate co-tier interference in 5G HetNets. MLMCOS classifies users into multiple classes based on their service priority along with their experienced co-tier interference. It then offloads some of them to the nearby Femto Base Stations (FBS) based on the availability of resources to ensure high QoE. ML classification algorithms are evaluated in terms of accuracy, recall, and precision. The performance of MLMCOS is then compared to those of Proportional Fair (PF) scheduling algorithm, Variable Radius and Proportional Fair scheduling (VR+PF) algorithm, and a Cognitive Approach (CA) in terms of Video Multimethod Assessment Fusion (VMAF), R-Factor, and RUM Speed Index (RUMSI).
{"title":"A Machine Learning-based xAPP for 5G O-RAN to Mitigate Co-tier Interference and Improve QoE for Various Services in a HetNet Environment","authors":"Devanshu Anand, Mohammed Amine Togou, Gabriel-Miro Muntean","doi":"10.1109/BMSB58369.2023.10211189","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211189","url":null,"abstract":"Data traffic has skyrocketed as a result of the global proliferation of rich media services. A number of cutting-edge applications are predicted to be supported by 5G networks across the three categories: enhanced mobile broadband, ultra-reliable low latency communications, and enormous machine-type communications. The expectations and goals for the various services in the 5G networks have put a lot of pressure on mobile operators to maintain high Quality of Experience (QoE). The use of 5G Heterogeneous Networks (HetNets), which will provide consumers with the ability to be associated with either Macro Base Stations (MBS) or small cells, is one of the most promising solutions. Among the small cells, femtocells have drawn much attention recently. Yet, the most significant challenge with the deployment of femtocells is the high co-tier interference that can occur between different femtocell users. Artificial Intelligence (AI) and Machine Learning (ML)-based solutions are being incorporated in 5G networks to address this challenge. In this paper, we propose a ML Multi-Classification and Offloading Scheme (MLMCOS) to mitigate co-tier interference in 5G HetNets. MLMCOS classifies users into multiple classes based on their service priority along with their experienced co-tier interference. It then offloads some of them to the nearby Femto Base Stations (FBS) based on the availability of resources to ensure high QoE. ML classification algorithms are evaluated in terms of accuracy, recall, and precision. The performance of MLMCOS is then compared to those of Proportional Fair (PF) scheduling algorithm, Variable Radius and Proportional Fair scheduling (VR+PF) algorithm, and a Cognitive Approach (CA) in terms of Video Multimethod Assessment Fusion (VMAF), R-Factor, and RUM Speed Index (RUMSI).","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"15 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":"85930190","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}
Recently, the popularity of Internet of Things (IoT) devices has brought massive amounts of sensing data to edge networks. How to use distributed sensing data to train artificial intelligence (AI) models for ubiquitous intelligent wireless sensing in IoT, while considering privacy is an open problem. In this paper, we propose an edge intelligence (EI) and blockchain powered device-free wireless sensing framework to supply IoT applications in edge networks. We design a cross-domain wireless sensing scheme for human-computer interaction by adopting adversarial transfer learning in this framework and verify the effectiveness of the method.
{"title":"Blockchain-Aided Distributed Device-Free Wireless Sensing with IoT Devices in Edge Network","authors":"Yanxi Xie, Ziyue Li, Chaoyi Li, Yonghui Zhu, Hao Zhang","doi":"10.1109/BMSB58369.2023.10211278","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211278","url":null,"abstract":"Recently, the popularity of Internet of Things (IoT) devices has brought massive amounts of sensing data to edge networks. How to use distributed sensing data to train artificial intelligence (AI) models for ubiquitous intelligent wireless sensing in IoT, while considering privacy is an open problem. In this paper, we propose an edge intelligence (EI) and blockchain powered device-free wireless sensing framework to supply IoT applications in edge networks. We design a cross-domain wireless sensing scheme for human-computer interaction by adopting adversarial transfer learning in this framework and verify the effectiveness of the method.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"31 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81342134","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/BMSB58369.2023.10211577
Xiaomeng Zhu, Yuting Zheng, Bei Li, Yi Li, Yuchao Jin, Rui Xia, Lexi Xu, Zixiang Di, Xinzhou Cheng
The introduction of co-construction and sharing makes the network structure increasingly complex. The 5G network should meet the business needs of both operators. How to evaluate the network perception of both users more comprehensively has become a new challenge. This paper proposes a 5G network evaluation method based on perceptual peer-to-peer. The big data modeling is used to determine the judgment criteria for perceived peer-to-peer, and the difference ranking is selected to intuitively reflect difference degree of the area where the community to be evaluated is located. This research can intuitively reflect the perception equivalence of different regions and the contribution of different indicators, and provide an objective basis for subsequent targeted network optimization and adjustment.
{"title":"Research on 5G Network Evaluation Method Base on Perceptual Peer to Peer","authors":"Xiaomeng Zhu, Yuting Zheng, Bei Li, Yi Li, Yuchao Jin, Rui Xia, Lexi Xu, Zixiang Di, Xinzhou Cheng","doi":"10.1109/BMSB58369.2023.10211577","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211577","url":null,"abstract":"The introduction of co-construction and sharing makes the network structure increasingly complex. The 5G network should meet the business needs of both operators. How to evaluate the network perception of both users more comprehensively has become a new challenge. This paper proposes a 5G network evaluation method based on perceptual peer-to-peer. The big data modeling is used to determine the judgment criteria for perceived peer-to-peer, and the difference ranking is selected to intuitively reflect difference degree of the area where the community to be evaluated is located. This research can intuitively reflect the perception equivalence of different regions and the contribution of different indicators, and provide an objective basis for subsequent targeted network optimization and adjustment.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"118 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":"81350830","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/BMSB58369.2023.10211170
Yunqi Li, J. Liu, Bin Jiang, Chan-Ming Yang, Qingtian Wang
With an increasing number of Mobile Users (MUs), Multi-access edge computing (MEC) has become a bottleneck in resource limitation. Serverless edge computing (SEC) is a promising approach to effectively alleviate the shortage of MEC. However, existing research on SEC focus on the operating mode of the SEC server, they ignore the interaction between SEC and MU. To this end, we propose a Stackelberg game approach to maximize the utility of each MU. We present the model of the Stackelberg game and propose an iterative algorithm as the solution. We also consider the impact of the function resource pool and using renewable energy on SEC. In particular, when a function that required by a MU is not stored in this SEC, it downloads the function from could with extra cost. Meanwhile, the SEC has a lower cost by using harvested energy rather than purchasing from the grid. Simulation results show that the proposed scheme is efficient in terms of SEC’s profit and MU’s demand. Moreover, both MUs and SECs gain benefits from renewable energy.
{"title":"Cost Minimization in Serverless Computing with Energy Harvesting SECs","authors":"Yunqi Li, J. Liu, Bin Jiang, Chan-Ming Yang, Qingtian Wang","doi":"10.1109/BMSB58369.2023.10211170","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211170","url":null,"abstract":"With an increasing number of Mobile Users (MUs), Multi-access edge computing (MEC) has become a bottleneck in resource limitation. Serverless edge computing (SEC) is a promising approach to effectively alleviate the shortage of MEC. However, existing research on SEC focus on the operating mode of the SEC server, they ignore the interaction between SEC and MU. To this end, we propose a Stackelberg game approach to maximize the utility of each MU. We present the model of the Stackelberg game and propose an iterative algorithm as the solution. We also consider the impact of the function resource pool and using renewable energy on SEC. In particular, when a function that required by a MU is not stored in this SEC, it downloads the function from could with extra cost. Meanwhile, the SEC has a lower cost by using harvested energy rather than purchasing from the grid. Simulation results show that the proposed scheme is efficient in terms of SEC’s profit and MU’s demand. Moreover, both MUs and SECs gain benefits from renewable energy.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"20 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81425423","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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