Pub Date : 2023-06-14DOI: 10.1109/BMSB58369.2023.10211161
Xi Lu, Xiaofei Yu, Chaowei Wang, Weidong Wang, Jun Zhen
With the development of the Internet of Things (IoT), there are numerous real-time applications emerging for B5G. Driven by the low-latency requirement, mobile edge computing has become an important technology for enhancing user experience and reducing network costs. However, the computing power of the single-processor CPU is limited, it is difficult to meet the low-latency requirements of computation-intensive applications. Besides, the performance of the network is limited by cell interference. In this paper, we design a user-centric Cell-Free Heterogeneous Mobile Edge Computing (CF-HetMEC) network architecture, which comprehensively utilizes the computing and transmission resources of multi-heterogeneous processors of Central Processing Units. A category-based Directed Acyclic Graphs (DAGs) subtask offloading algorithm in CF-HetMEC network is proposed to reduce the system delay. Simulation results show that the proposed scheme can effectively reduce the processing delay and the energy consumption of CF-HetMEC network.
{"title":"Collaborative Task Offloading Based on Scalable DAG in Cell-Free HetMEC Networks","authors":"Xi Lu, Xiaofei Yu, Chaowei Wang, Weidong Wang, Jun Zhen","doi":"10.1109/BMSB58369.2023.10211161","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211161","url":null,"abstract":"With the development of the Internet of Things (IoT), there are numerous real-time applications emerging for B5G. Driven by the low-latency requirement, mobile edge computing has become an important technology for enhancing user experience and reducing network costs. However, the computing power of the single-processor CPU is limited, it is difficult to meet the low-latency requirements of computation-intensive applications. Besides, the performance of the network is limited by cell interference. In this paper, we design a user-centric Cell-Free Heterogeneous Mobile Edge Computing (CF-HetMEC) network architecture, which comprehensively utilizes the computing and transmission resources of multi-heterogeneous processors of Central Processing Units. A category-based Directed Acyclic Graphs (DAGs) subtask offloading algorithm in CF-HetMEC network is proposed to reduce the system delay. Simulation results show that the proposed scheme can effectively reduce the processing delay and the energy consumption of CF-HetMEC network.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"44 9","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":"72549041","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/BMSB58369.2023.10211141
Kun Liu, H. Yang
Due to the scarcity of spectrum resources, the combination of forward error correction (FEC) code and high-order modulation, i.e. coded-modulation (CM) is essential to the various high data rate multimedia communication services. In this paper, we propose a new CM scheme, namely the globally coupled (GC) low-density parity check (LDPC) CM where we choose GC-LDPC code as the FEC code and regular rectangular quadrature amplitude modulation (QAM) as the high order modulation. To guarantee the code with at least grith 8, the greatest common division-based method is used to constructe the GC-LDPC code. Simulation results show that, although the GC-LDPC code has poor performance under QPSK modulation compared with the LDPC code defined in 5G (5G-LDPC), the proposed GC-LDPC CM outperforms 5G-LPDC CM under 64QAM modulation about 0.5dB. The EXIT charts also theoretically demonstrate the GC-LDPC code the significant gain. Considering other advantages of GC-LDPC such as flexible rate design, parallel decoding and etc., the proposed GC-LDPC CM is attractive to multimedia communication systems which generally requires high spectral efficiency.
{"title":"GC-LDPC Coded Modulation","authors":"Kun Liu, H. Yang","doi":"10.1109/BMSB58369.2023.10211141","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211141","url":null,"abstract":"Due to the scarcity of spectrum resources, the combination of forward error correction (FEC) code and high-order modulation, i.e. coded-modulation (CM) is essential to the various high data rate multimedia communication services. In this paper, we propose a new CM scheme, namely the globally coupled (GC) low-density parity check (LDPC) CM where we choose GC-LDPC code as the FEC code and regular rectangular quadrature amplitude modulation (QAM) as the high order modulation. To guarantee the code with at least grith 8, the greatest common division-based method is used to constructe the GC-LDPC code. Simulation results show that, although the GC-LDPC code has poor performance under QPSK modulation compared with the LDPC code defined in 5G (5G-LDPC), the proposed GC-LDPC CM outperforms 5G-LPDC CM under 64QAM modulation about 0.5dB. The EXIT charts also theoretically demonstrate the GC-LDPC code the significant gain. Considering other advantages of GC-LDPC such as flexible rate design, parallel decoding and etc., the proposed GC-LDPC CM is attractive to multimedia communication systems which generally requires high spectral efficiency.","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":"74564382","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}
Vehicle Ad Hoc Network (VANET) is one of the important means to realize intelligent transportation system, which can improve road safety and traffic efficiency. At present, two key technologies of vehicle communication include DSRC (Dedicated Short-Range Communication) and LTE (Long Term Evolution). After 20 years of in-depth research, DSRC has reached sufficient technical maturity, but its performance improvement space is relatively limited. LTE is a relatively new 3GPP-based standard and is considered the strongest competitor to IEEE 802.11p.There are many mature analysis models in DSRC reliability analysis, however as LTE is a newly emerging vehicle networking technology, the existing analysis models have some problems that do not conform to actual traffic scenarios and incomplete analysis of beacon transmission errors. Although technological innovations allow LTE to have many features over DSRC, studies have found that DSRC outperforms in some respects.Given the existing shortcomings of analysis models, this paper proposes an LTE broadcast performance analysis model based on the Poisson distribution traffic model. This model uses the Markov State Transition Process to evaluate the probability of packet reception for LTE combined with four transmission errors. The numerical results of the analysis model is cross-validated through the network simulation results obtained by the MATLAB simulator, which proves the correct-ness of the model.
{"title":"Research on Model and Simulation of Vehicle Network Based on LTE Technology","authors":"Xinyu Gai, Zhicheng Li, Yaqin Zhang, Shiqi Li, Guimin Meng, Lele Lv","doi":"10.1109/BMSB58369.2023.10211162","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211162","url":null,"abstract":"Vehicle Ad Hoc Network (VANET) is one of the important means to realize intelligent transportation system, which can improve road safety and traffic efficiency. At present, two key technologies of vehicle communication include DSRC (Dedicated Short-Range Communication) and LTE (Long Term Evolution). After 20 years of in-depth research, DSRC has reached sufficient technical maturity, but its performance improvement space is relatively limited. LTE is a relatively new 3GPP-based standard and is considered the strongest competitor to IEEE 802.11p.There are many mature analysis models in DSRC reliability analysis, however as LTE is a newly emerging vehicle networking technology, the existing analysis models have some problems that do not conform to actual traffic scenarios and incomplete analysis of beacon transmission errors. Although technological innovations allow LTE to have many features over DSRC, studies have found that DSRC outperforms in some respects.Given the existing shortcomings of analysis models, this paper proposes an LTE broadcast performance analysis model based on the Poisson distribution traffic model. This model uses the Markov State Transition Process to evaluate the probability of packet reception for LTE combined with four transmission errors. The numerical results of the analysis model is cross-validated through the network simulation results obtained by the MATLAB simulator, which proves the correct-ness of the model.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"286 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":"83433215","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/BMSB58369.2023.10211260
Lei Liu, Xiang Meng, Weiliang Xie
Some countries and regions are currently considering 5G services in the 3.5 GHz band, and the widespread deployment of 5G systems may cause interference to Fixed Satellite Service (FSS) earth stations operating in adjacent frequency bands. This paper presents an analysis for 5G base station downlinks in 3.5 GHz band when receiving adjacent FSS earth stations, derived from ITU-R recommendations for IMT and FSS. The conclusions of the study give the minimum required protection distances for coexistence deployment of 5G systems with FSS earth stations at different frequency intervals. Various feasible technical measures for inter-system coexistence protection, such as adding frequency shielding, adding filters, limiting out-of-band indicators of base stations and setting geographic protection ranges, are also proposed considering the complex scenarios of the actual system deployment.
{"title":"Research on 5G Base Station to Satellite Earth Station Interference and Mitigation Methods","authors":"Lei Liu, Xiang Meng, Weiliang Xie","doi":"10.1109/BMSB58369.2023.10211260","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211260","url":null,"abstract":"Some countries and regions are currently considering 5G services in the 3.5 GHz band, and the widespread deployment of 5G systems may cause interference to Fixed Satellite Service (FSS) earth stations operating in adjacent frequency bands. This paper presents an analysis for 5G base station downlinks in 3.5 GHz band when receiving adjacent FSS earth stations, derived from ITU-R recommendations for IMT and FSS. The conclusions of the study give the minimum required protection distances for coexistence deployment of 5G systems with FSS earth stations at different frequency intervals. Various feasible technical measures for inter-system coexistence protection, such as adding frequency shielding, adding filters, limiting out-of-band indicators of base stations and setting geographic protection ranges, are also proposed considering the complex scenarios of the actual system deployment.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"52 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":"83307063","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 the network slicing environment, SDN and NFV technologies improve the utilization of network resources. However, these technologies lead to the greater dynamic nature of network resources and bring greater challenges to network fault management. Firstly, based on the analysis of network elements in network slicing environment, the fault management platform architecture in network slicing environment is proposed. Secondly, in order to improve the efficiency of the fault management mechanism, the knowledge graph is applied to the fault management field and the fault management knowledge graph is constructed. The functions that the knowledge framework can realize include fault prediction, elastic strategy, fault location, and fault self-healing. Finally, according to the requirements of fault management, a fault management question answering system based on knowledge graph is designed. From the two dimensions of business feasibility and implementation feasibility, the feasibility of the fault management platform is verified.
{"title":"Fault Management Platform based on Knowledge Graph in Network Slicing Environment","authors":"Detai Pan, Yunzhou Dong, Minglu Qi, Qiujia Fu, Zhengdong Lin, Guanliang Chen, Yingkun Liao, Peng Lin","doi":"10.1109/BMSB58369.2023.10211138","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211138","url":null,"abstract":"In the network slicing environment, SDN and NFV technologies improve the utilization of network resources. However, these technologies lead to the greater dynamic nature of network resources and bring greater challenges to network fault management. Firstly, based on the analysis of network elements in network slicing environment, the fault management platform architecture in network slicing environment is proposed. Secondly, in order to improve the efficiency of the fault management mechanism, the knowledge graph is applied to the fault management field and the fault management knowledge graph is constructed. The functions that the knowledge framework can realize include fault prediction, elastic strategy, fault location, and fault self-healing. Finally, according to the requirements of fault management, a fault management question answering system based on knowledge graph is designed. From the two dimensions of business feasibility and implementation feasibility, the feasibility of the fault management platform is verified.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"637 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":"78987306","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/BMSB58369.2023.10211630
Jie Mei, Min Wei, Yukun Sun, Jiacong Li, Gefan Zhou, Xing Zhang
Computing Power Network (CPN) is a new network paradigm for next generation communication systems. Meanwhile, Federated Learning (FL) has attracted more and more attention nowadays. However, there are few researches on the resource scheduling problem of federated learning in computing power network. There are a large number of heterogeneous computing resources available in the computing power network, so efficient utilization of resources in CPN for federated learning is very important. Therefore, our research focuses on the resource scheduling problem of federated learning in computing power networks to make up for the shortcomings of current related research. In this paper, we propose a framework and functional architecture combining CPN and federated learning for the purpose of resource optimization in federated learning. Besides, we show that task offloading using split learning can significantly improve the computational performance of federated learning, especially on local computing.
{"title":"The Architecture of Computing Power Network Towards Federated Learning: Paradigms and Perspectives","authors":"Jie Mei, Min Wei, Yukun Sun, Jiacong Li, Gefan Zhou, Xing Zhang","doi":"10.1109/BMSB58369.2023.10211630","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211630","url":null,"abstract":"Computing Power Network (CPN) is a new network paradigm for next generation communication systems. Meanwhile, Federated Learning (FL) has attracted more and more attention nowadays. However, there are few researches on the resource scheduling problem of federated learning in computing power network. There are a large number of heterogeneous computing resources available in the computing power network, so efficient utilization of resources in CPN for federated learning is very important. Therefore, our research focuses on the resource scheduling problem of federated learning in computing power networks to make up for the shortcomings of current related research. In this paper, we propose a framework and functional architecture combining CPN and federated learning for the purpose of resource optimization in federated learning. Besides, we show that task offloading using split learning can significantly improve the computational performance of federated learning, especially on local computing.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"73 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":"90410251","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/BMSB58369.2023.10211120
Yonghua Huo, Y. Liu, Wei Huang, Chengwen Fan, Yang Yang
With the rapid development of the IoT business, the IoT is showing a trend of large-scale and complex, and the types and quantities of terminal devices connected to the IoT system are constantly increasing, which puts forward higher requirements for the stability of the IoT. At present, the fault of IoT terminal device is unavoidable, and the existing research in the field of IoT terminals fault mainly focuses on the monitoring and diagnosis of faults. It is particularly important to make accurate and timely prediction before the fault occurs. In this paper, a IoT terminal fault prediction algorithm based on improved ResNet and BiLSTM and a Knowledge Review algorithm based on ECA module and Channel Connection loss are are proposed, which provides an effective solution for fault prediction of IoT terminal device.
{"title":"Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models","authors":"Yonghua Huo, Y. Liu, Wei Huang, Chengwen Fan, Yang Yang","doi":"10.1109/BMSB58369.2023.10211120","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211120","url":null,"abstract":"With the rapid development of the IoT business, the IoT is showing a trend of large-scale and complex, and the types and quantities of terminal devices connected to the IoT system are constantly increasing, which puts forward higher requirements for the stability of the IoT. At present, the fault of IoT terminal device is unavoidable, and the existing research in the field of IoT terminals fault mainly focuses on the monitoring and diagnosis of faults. It is particularly important to make accurate and timely prediction before the fault occurs. In this paper, a IoT terminal fault prediction algorithm based on improved ResNet and BiLSTM and a Knowledge Review algorithm based on ECA module and Channel Connection loss are are proposed, which provides an effective solution for fault prediction of IoT terminal device.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"5 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":"86816522","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/BMSB58369.2023.10211449
Daifu Yan, Min Jia, Qingbei Guo, Xuemai Gu
Conventional communication systems are generally based on modular design, since the modules are optimized separately, the system can not achieve the optimal performance. An end-to-end communication system model can be implemented by deep learning, which can improve the transmission performance. However, the channel environment is changeable and unknown, which make the optimization of the end-to-end communication system impossible. Recently, the birth of the deep convolutional generative adversarial networks (DCGAN) can simulate unknown channels and solve the optimization problem of end-to-end systems. Then, the DCGAN has poor training stability, and the problems of over-fitting and gradient disappearance caused by it will lead to performance degradation. In this paper, we propose a residual-based DCGAN model to alleviate these problems. Specifically, we introduce a residual block structure, which effectively alleviates the over-fitting problem of the gradient. In addition, we introduce the Wasserstein distance to measure the difference between the generated data and the real data distribution, and further solve the problem of model training instability. Simulation results show that our proposed Residual DCGAN-based model effectively improves the block error rate (BLER) performance compared with traditional methods.
{"title":"Unknown Channel End-to-End Learning of Communication System With Residual DCGAN","authors":"Daifu Yan, Min Jia, Qingbei Guo, Xuemai Gu","doi":"10.1109/BMSB58369.2023.10211449","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211449","url":null,"abstract":"Conventional communication systems are generally based on modular design, since the modules are optimized separately, the system can not achieve the optimal performance. An end-to-end communication system model can be implemented by deep learning, which can improve the transmission performance. However, the channel environment is changeable and unknown, which make the optimization of the end-to-end communication system impossible. Recently, the birth of the deep convolutional generative adversarial networks (DCGAN) can simulate unknown channels and solve the optimization problem of end-to-end systems. Then, the DCGAN has poor training stability, and the problems of over-fitting and gradient disappearance caused by it will lead to performance degradation. In this paper, we propose a residual-based DCGAN model to alleviate these problems. Specifically, we introduce a residual block structure, which effectively alleviates the over-fitting problem of the gradient. In addition, we introduce the Wasserstein distance to measure the difference between the generated data and the real data distribution, and further solve the problem of model training instability. Simulation results show that our proposed Residual DCGAN-based model effectively improves the block error rate (BLER) performance compared with traditional methods.","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":"87808429","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}
SDN, NFV and other technologies increase the complexity of data network systems, resulting in an increase in the probability of network failures and the difficulty of maintenance. In order to design a more practical fault management framework and mechanism, the data network environment is analyzed first. Based on the characteristics of data network environment and network elements, a fault management architecture based on artificial intelligence is proposed. The architecture includes device layer, data acquisition layer, data analysis layer and data management layer. In order to improve the application value and convenience of the fault management architecture, the elastic strategy, self-healing strategy and work order distribution mechanism of the data management layer are designed in detail. In the performance analysis, from the implementation feasibility and performance aspects, it is verified that the fault management mechanism proposed in this paper has good application value.
{"title":"Research on Fault Management System based on Artificial Intelligence in Data Network","authors":"Yunzhou Dong, Xinyu Wang, Fangyou Fu, Zhengdong Lin, Chaona Yin, Yingkun Liao, Peng Lin","doi":"10.1109/BMSB58369.2023.10211345","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211345","url":null,"abstract":"SDN, NFV and other technologies increase the complexity of data network systems, resulting in an increase in the probability of network failures and the difficulty of maintenance. In order to design a more practical fault management framework and mechanism, the data network environment is analyzed first. Based on the characteristics of data network environment and network elements, a fault management architecture based on artificial intelligence is proposed. The architecture includes device layer, data acquisition layer, data analysis layer and data management layer. In order to improve the application value and convenience of the fault management architecture, the elastic strategy, self-healing strategy and work order distribution mechanism of the data management layer are designed in detail. In the performance analysis, from the implementation feasibility and performance aspects, it is verified that the fault management mechanism proposed in this paper has good application value.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"6 5","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":"91493623","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/BMSB58369.2023.10211159
Xiaoyao Huang, Bo Lei, Min Wei, Guo Ji, Hang Lv
An appealing technology that merges computing and network resources to offer convergent services is the computing power network, which has attracted a lot of interest. In this paper, we study the task routing problem in the heterogeneous computing power network to minimize the loss of task value of the system. We first formulate the problem as a mixed integer nonlinear programming problem (MINP). To solve the problem, we propose a task Value aware Ant Colony algorithm(VACO) and deduced the complexity of the algorithm. The proposed algorithm VACO searches for optimal traversal in the directed graph by multiple ants for multiple rounds based on the designed task value aware pheromone concentration and transition probability function to achieve the minimum value loss routing scheme. Finally, the proposed algorithm’s excellent performance was demonstrated through comprehensive simulations conducted in the end.
{"title":"Task Value Aware Optimization of Routing for Computing Power Network","authors":"Xiaoyao Huang, Bo Lei, Min Wei, Guo Ji, Hang Lv","doi":"10.1109/BMSB58369.2023.10211159","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211159","url":null,"abstract":"An appealing technology that merges computing and network resources to offer convergent services is the computing power network, which has attracted a lot of interest. In this paper, we study the task routing problem in the heterogeneous computing power network to minimize the loss of task value of the system. We first formulate the problem as a mixed integer nonlinear programming problem (MINP). To solve the problem, we propose a task Value aware Ant Colony algorithm(VACO) and deduced the complexity of the algorithm. The proposed algorithm VACO searches for optimal traversal in the directed graph by multiple ants for multiple rounds based on the designed task value aware pheromone concentration and transition probability function to achieve the minimum value loss routing scheme. Finally, the proposed algorithm’s excellent performance was demonstrated through comprehensive simulations conducted in the end.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"41 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":"91171437","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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