Pub Date : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896700
Fanwei Huang, Qiuping Li, Junhui Zhao
With the continuous development of vehicular ad hoc networks (VANETs), it brings great traffic convenience. How-ever, it is still a difficult problem for malicious vehicles to spread false news. In order to ensure the reliability of the message, an effective trust management model must be established, so that malicious vehicles can be detected and false information can be identified in the vehicle ad hoc network in time. This paper presents a trust management model based on machine learning and active detection technology, which evaluates the trust of vehicles and events to ensure the credibility of communication. Through the active detection mechanism, vehicles can detect the indirect trust of their neighbors, which improves the filtering speed of malicious nodes. Bayesian classifier can judge whether a vehicle is a malicious node by the state information of the vehicle, and can limit the behavior of the malicious vehicle at the first time. The simulation results show that our scheme can obviously restrict malicious vehicles.
{"title":"Trust Management Model of VANETs Based on Machine Learning and Active Detection Technology","authors":"Fanwei Huang, Qiuping Li, Junhui Zhao","doi":"10.1109/ICCCWorkshops55477.2022.9896700","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896700","url":null,"abstract":"With the continuous development of vehicular ad hoc networks (VANETs), it brings great traffic convenience. How-ever, it is still a difficult problem for malicious vehicles to spread false news. In order to ensure the reliability of the message, an effective trust management model must be established, so that malicious vehicles can be detected and false information can be identified in the vehicle ad hoc network in time. This paper presents a trust management model based on machine learning and active detection technology, which evaluates the trust of vehicles and events to ensure the credibility of communication. Through the active detection mechanism, vehicles can detect the indirect trust of their neighbors, which improves the filtering speed of malicious nodes. Bayesian classifier can judge whether a vehicle is a malicious node by the state information of the vehicle, and can limit the behavior of the malicious vehicle at the first time. The simulation results show that our scheme can obviously restrict malicious vehicles.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124786958","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896664
Siyu Ying, Shan Jin, Zhaoyang Zhang
In order to promote the reliability and efficiency of transport block (TB)-based transmission, we propose a new class of spatially coupled Polarization-Adjusted Convolutional (PAC) coding scheme in this paper. In the proposed scheme, several consecutive code blocks (CBs) in each TB are coupled by the register states at the end of the encoding of each CB, and a depth-first successive-cancellation list (SCL)-based decoder is used for decoding. The proposed spatially coupled PAC codes introduce little coding complexity at the encoding side, and the coupling procedure is able to significantly mitigate the TB error rate (TBER), which are validated by extensive simulation results.
{"title":"A Spatially Coupled PAC Coding Scheme and Its List Decoding","authors":"Siyu Ying, Shan Jin, Zhaoyang Zhang","doi":"10.1109/ICCCWorkshops55477.2022.9896664","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896664","url":null,"abstract":"In order to promote the reliability and efficiency of transport block (TB)-based transmission, we propose a new class of spatially coupled Polarization-Adjusted Convolutional (PAC) coding scheme in this paper. In the proposed scheme, several consecutive code blocks (CBs) in each TB are coupled by the register states at the end of the encoding of each CB, and a depth-first successive-cancellation list (SCL)-based decoder is used for decoding. The proposed spatially coupled PAC codes introduce little coding complexity at the encoding side, and the coupling procedure is able to significantly mitigate the TB error rate (TBER), which are validated by extensive simulation results.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126986360","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896701
Zhiqing Wei, Hanyang Qu, Liang Ma, Chengkang Pan
The integrated sensing and communication (ISAC) technology is regarded as a potential key technology in the future mobile communication systems. In order to make full use of spectrum resources, mobile communication systems work not only in continuous frequency band but also in non-continuous frequency band. The orthogonal frequency division multiplex (OFDM) signal working in non-continuous frequency band is called non-continuous OFDM (NC-OFDM). In order to enhance the anti-noise performance of ISAC signal based on NC-OFDM, an improved signal processing algorithm is proposed according to the communication signaling. Finally, the feasibility of the proposed algorithm is verified by simulation. Compared with traditional signal processing algorithms, the proposed algorithm has better anti-noise performance in non-continuous spectrum.
{"title":"Robust ISAC Signal Processing on Unlicensed Spectrum Bands","authors":"Zhiqing Wei, Hanyang Qu, Liang Ma, Chengkang Pan","doi":"10.1109/ICCCWorkshops55477.2022.9896701","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896701","url":null,"abstract":"The integrated sensing and communication (ISAC) technology is regarded as a potential key technology in the future mobile communication systems. In order to make full use of spectrum resources, mobile communication systems work not only in continuous frequency band but also in non-continuous frequency band. The orthogonal frequency division multiplex (OFDM) signal working in non-continuous frequency band is called non-continuous OFDM (NC-OFDM). In order to enhance the anti-noise performance of ISAC signal based on NC-OFDM, an improved signal processing algorithm is proposed according to the communication signaling. Finally, the feasibility of the proposed algorithm is verified by simulation. Compared with traditional signal processing algorithms, the proposed algorithm has better anti-noise performance in non-continuous spectrum.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129032598","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}
There is an increasing demand for cost-effective deployment of 5G network during radically generational change. Various solutions are proposed to address co-construction and network sharing issues, including an emerging technology of 5G inter-networks roaming. In this paper, new business scenarios are specially clarified in comparison with international roaming with respect to scope of application, service experience and commercial secret protection. Furthermore, five key issues concerning 5G inter-networks roaming are examined and corresponding solutions are introduced to settle problems that may arise. To address service experience problems in bidirectional mobility scenarios between a non-roaming area and a roaming area, data and voice service continuity solutions with inter-networks N14 and N26 interfaces enabled are proposed. Besides, problems of emergency call compatibility are proposed to be resolved by switching to common call procedure with adaptation of UE and 5GC emergency capabilities. Finally, optimization of signaling procedure with enhanced transformation feature on SEPP and a novel Number Masking Function are collectively proposed to conceal operators' sensitive information including IP address, port number, FQDN and GPSI number.
{"title":"Key Issue Analysis on 5G Inter-networks Roaming","authors":"Haoquan Liang, Zhenhua Lv, Xuexin Li, Chunsheng Du, Qingyang Wang, Minqing Wu","doi":"10.1109/ICCCWorkshops55477.2022.9896675","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896675","url":null,"abstract":"There is an increasing demand for cost-effective deployment of 5G network during radically generational change. Various solutions are proposed to address co-construction and network sharing issues, including an emerging technology of 5G inter-networks roaming. In this paper, new business scenarios are specially clarified in comparison with international roaming with respect to scope of application, service experience and commercial secret protection. Furthermore, five key issues concerning 5G inter-networks roaming are examined and corresponding solutions are introduced to settle problems that may arise. To address service experience problems in bidirectional mobility scenarios between a non-roaming area and a roaming area, data and voice service continuity solutions with inter-networks N14 and N26 interfaces enabled are proposed. Besides, problems of emergency call compatibility are proposed to be resolved by switching to common call procedure with adaptation of UE and 5GC emergency capabilities. Finally, optimization of signaling procedure with enhanced transformation feature on SEPP and a novel Number Masking Function are collectively proposed to conceal operators' sensitive information including IP address, port number, FQDN and GPSI number.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121751732","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896688
Jinbo Zhao, Bin Zhang, Shiyuan Chang, Yihui Wang, Li Chen
With the continuous evolution of wireless radio access network architecture, artificial intelligence (AI) plays an increasingly significant role in network optimization. Native-AI will realize fast and accurate optimization, real-time policy adjustment and trend prediction in future 6G systems. To cope with the increasing user density and complex wireless environment, beam weights optimization becomes one of the key factors to promote the communication capacity, coverage and anti-interference ability. In this paper, we build an intelligent network model based on the reinforcement learning (RL) algorithm and optimize the beam pattern in a real typical scenario that contains both roads and buildings. A field test is conducted to investigate the potential impacts of the intelligent algorithm on network optimization. The data used in the field test are real measurement reports from UEs, which imply the location information and the uneven distribution of UEs. The coverage performance and received signal quality are significantly improved after optimization. We also analyze the limitations of AI in the current 5G systems and discuss the future work on native-AI and RL.
{"title":"Beam Weights Optimization Based on Reinforcement Learning for 6G","authors":"Jinbo Zhao, Bin Zhang, Shiyuan Chang, Yihui Wang, Li Chen","doi":"10.1109/ICCCWorkshops55477.2022.9896688","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896688","url":null,"abstract":"With the continuous evolution of wireless radio access network architecture, artificial intelligence (AI) plays an increasingly significant role in network optimization. Native-AI will realize fast and accurate optimization, real-time policy adjustment and trend prediction in future 6G systems. To cope with the increasing user density and complex wireless environment, beam weights optimization becomes one of the key factors to promote the communication capacity, coverage and anti-interference ability. In this paper, we build an intelligent network model based on the reinforcement learning (RL) algorithm and optimize the beam pattern in a real typical scenario that contains both roads and buildings. A field test is conducted to investigate the potential impacts of the intelligent algorithm on network optimization. The data used in the field test are real measurement reports from UEs, which imply the location information and the uneven distribution of UEs. The coverage performance and received signal quality are significantly improved after optimization. We also analyze the limitations of AI in the current 5G systems and discuss the future work on native-AI and RL.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130470618","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896715
Xiaoqing Gong, Gang Wu
For cell-free multiple-input multiple-output (MIMO) system, this paper derived the mathematical formula for the optimization problem considering system throughput and user satisfaction rate (USR) in this architecture, and proposed an USR based dynamic user scheduling algorithm considering the transmission reliability of paired users. This method can dynamically control the number and list of multiplex users on different subband resources in the same system according to the requirements of user service transmission reliability after pairing, and maximize the system throughput on the premise of meeting the user transmission requirements. We simulate and verify this algorithm under the centralized processing cell-free system architecture. At the same time, a user scheduling and pairing transmission scheme based on partial signaling feedback on cell-free scenario is further proposed, and the effectiveness of this scheme is verified by simulation.
{"title":"Dynamic User Scheduling with User Satisfaction Rate in Cell-Free Massive MIMO","authors":"Xiaoqing Gong, Gang Wu","doi":"10.1109/ICCCWorkshops55477.2022.9896715","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896715","url":null,"abstract":"For cell-free multiple-input multiple-output (MIMO) system, this paper derived the mathematical formula for the optimization problem considering system throughput and user satisfaction rate (USR) in this architecture, and proposed an USR based dynamic user scheduling algorithm considering the transmission reliability of paired users. This method can dynamically control the number and list of multiplex users on different subband resources in the same system according to the requirements of user service transmission reliability after pairing, and maximize the system throughput on the premise of meeting the user transmission requirements. We simulate and verify this algorithm under the centralized processing cell-free system architecture. At the same time, a user scheduling and pairing transmission scheme based on partial signaling feedback on cell-free scenario is further proposed, and the effectiveness of this scheme is verified by simulation.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132972633","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896473
Xiao Shen, Guojin Huang, Yingbin Niu, Zhen Shao
Voice coverage in home mobile networks has always been a problem for telecom operators, and VoWiFi service based on the 3GPP S2b solution should solve the problem of accurate user location information before it can be commercially available in China. This paper focuses on the overall solution of accurate user location information and the procedure of acquiring and transferring user location information. In addition, a solution is proposed to support VoWiFi service for 5G SA users under the interworking architecture between ePDG/EPC and 5GS.
{"title":"Location-enhanced VoWiFi service solution and key issues analysis","authors":"Xiao Shen, Guojin Huang, Yingbin Niu, Zhen Shao","doi":"10.1109/ICCCWorkshops55477.2022.9896473","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896473","url":null,"abstract":"Voice coverage in home mobile networks has always been a problem for telecom operators, and VoWiFi service based on the 3GPP S2b solution should solve the problem of accurate user location information before it can be commercially available in China. This paper focuses on the overall solution of accurate user location information and the procedure of acquiring and transferring user location information. In addition, a solution is proposed to support VoWiFi service for 5G SA users under the interworking architecture between ePDG/EPC and 5GS.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133160089","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896674
Yuejiao Huang, Xishuo Li, Zhiyuan Wang, Shan Zhang, Hongbin Luo
Provisioning context information via vehicle-to-everything (V2X) networks can greatly enhance the context awareness and driving intelligence of vehicles. Considering the location-related interests, it is favorable to employ the cache-enabled vehicles for content sharing. In this work, we investigate how to incentivize the selfish vehicles to share their context information with the multi-dimensional imperfect information of content dynamics, requests, and cache costs. The incentivized interaction process between the Base Station (BS) and cache-enabled vehicles is modeled as an online learning problem from the BS aspect. Based on the reverse auction theorem, an incentivized online vehicle caching mechanism is proposed to ensure the vehicles' voluntary participation in edge services and maximize the social welfare (vehicle-offloaded traffic excluding the caching and sharing cost), which is proved to approach an idealistic performance with prior knowledge of reward of contents and cost of vehicle caching. Simulation results show that the proposed incentive method can enhance the social welfare by around 3X to 7X compared with the popularity based and random caching schemes.
{"title":"An Incentivized Online Learning Approach for Context Information Caching and Sharing in V2X Networks","authors":"Yuejiao Huang, Xishuo Li, Zhiyuan Wang, Shan Zhang, Hongbin Luo","doi":"10.1109/ICCCWorkshops55477.2022.9896674","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896674","url":null,"abstract":"Provisioning context information via vehicle-to-everything (V2X) networks can greatly enhance the context awareness and driving intelligence of vehicles. Considering the location-related interests, it is favorable to employ the cache-enabled vehicles for content sharing. In this work, we investigate how to incentivize the selfish vehicles to share their context information with the multi-dimensional imperfect information of content dynamics, requests, and cache costs. The incentivized interaction process between the Base Station (BS) and cache-enabled vehicles is modeled as an online learning problem from the BS aspect. Based on the reverse auction theorem, an incentivized online vehicle caching mechanism is proposed to ensure the vehicles' voluntary participation in edge services and maximize the social welfare (vehicle-offloaded traffic excluding the caching and sharing cost), which is proved to approach an idealistic performance with prior knowledge of reward of contents and cost of vehicle caching. Simulation results show that the proposed incentive method can enhance the social welfare by around 3X to 7X compared with the popularity based and random caching schemes.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124552264","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896680
Qiu Zhang, Nan Cheng, Ruijin Sun, Dayue Zhang
Real-time status updates are playing a key role in the emergence of autonomous driving. Due to the limited and dynamic environment, the vehicle communications may not guarantee the required quality of service (QoS) on demand. In this paper, we consider the intersection scenario with relatively heavy traffic and slightly higher risk, where the base station (BS) remotely controls multiple vehicles. The vehicles sense their own and surrounding contextual information through sensors and send them to the BS through the uplink. Since the urgency of different status information is distinct, the analytic hierarchy process (AHP) method is used to give each status information a context-aware weight so that emergency vehicles can be scheduled first by the BS. Then, age of information (AoI) is also exploited to describe the time elapsed since the generation of the status information obtained from the perspective of the BS. On this basis, the Lyapunov method is considered to optimize the average weighted AoI subject to the limited throughput constraint. Finally, a scheduling strategy based on dynamic domain value is proposed to update vehicles in real time in the long run, so as to minimize the average weighted AoI. The simulation results show that the context-aware weight proposed in this paper has a significant impact on scheduling, and the average weighted AoI of the whole system is optimized compared with other approaches.
实时状态更新在自动驾驶的出现中发挥着关键作用。由于环境的有限性和动态性，车载通信可能无法保证所需的服务质量(QoS)。本文考虑交通流量较大、风险稍高的交叉口场景，基站(BS)远程控制多辆车辆。车辆通过传感器感知自身和周围的环境信息，并通过上行链路将其发送到BS。由于不同状态信息的紧急程度不同，采用层次分析法(AHP)赋予每个状态信息上下文感知的权重，使BS能够优先调度应急车辆。然后，还利用信息年龄(age of information, AoI)来描述从BS角度获得的状态信息产生以来所经过的时间。在此基础上，考虑Lyapunov方法在有限吞吐量约束下优化平均加权AoI。最后，提出了一种基于动态域值的车辆长期实时更新调度策略，使加权平均AoI最小。仿真结果表明，本文提出的上下文感知权值对调度有显著影响，与其他方法相比，优化了整个系统的平均加权AoI。
{"title":"AoI-Oriented Context-Aware Priority Design and Vehicle Scheduling Strategy in Vehicular Networks","authors":"Qiu Zhang, Nan Cheng, Ruijin Sun, Dayue Zhang","doi":"10.1109/ICCCWorkshops55477.2022.9896680","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896680","url":null,"abstract":"Real-time status updates are playing a key role in the emergence of autonomous driving. Due to the limited and dynamic environment, the vehicle communications may not guarantee the required quality of service (QoS) on demand. In this paper, we consider the intersection scenario with relatively heavy traffic and slightly higher risk, where the base station (BS) remotely controls multiple vehicles. The vehicles sense their own and surrounding contextual information through sensors and send them to the BS through the uplink. Since the urgency of different status information is distinct, the analytic hierarchy process (AHP) method is used to give each status information a context-aware weight so that emergency vehicles can be scheduled first by the BS. Then, age of information (AoI) is also exploited to describe the time elapsed since the generation of the status information obtained from the perspective of the BS. On this basis, the Lyapunov method is considered to optimize the average weighted AoI subject to the limited throughput constraint. Finally, a scheduling strategy based on dynamic domain value is proposed to update vehicles in real time in the long run, so as to minimize the average weighted AoI. The simulation results show that the context-aware weight proposed in this paper has a significant impact on scheduling, and the average weighted AoI of the whole system is optimized compared with other approaches.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116161045","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896712
Zhenkai Lian, Yingshuai Dong, L. Yin, Youzheng Wang
Considering the rapid development of space technol-ogy and the increasingly scarce spectral resources of terrestrial communication network, people redirect their view to broadband satellite communication. Recently, low orbit satellites have at-tracted wide attention and research because of their low latency, large capacity and less susceptibility to external environmental impact. The existing analysis of satellite constellation coverage and capacity has yielded many results, while many of which are based on the uniform distribution of ground users and mostly from the satellite supply side, ignoring the actual needs of ground users. However, from the point of view of commercial satellite communication, the profit of satellite constellation is of concern to operators. Therefore, we propose an evaluation method that considers the revenue capability and efficiency of constellation. The simulation results show that the constellation efficiency of Starlink is lower than One Web, while the revenue capacity is significantly higher. After we adjust the constellation structure of Starlink, the constellation efficiency and revenue capability has been improved.
{"title":"An Economic Evaluation Method for LEO Satellite Constellation Considering Revenue and Efficiency","authors":"Zhenkai Lian, Yingshuai Dong, L. Yin, Youzheng Wang","doi":"10.1109/ICCCWorkshops55477.2022.9896712","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896712","url":null,"abstract":"Considering the rapid development of space technol-ogy and the increasingly scarce spectral resources of terrestrial communication network, people redirect their view to broadband satellite communication. Recently, low orbit satellites have at-tracted wide attention and research because of their low latency, large capacity and less susceptibility to external environmental impact. The existing analysis of satellite constellation coverage and capacity has yielded many results, while many of which are based on the uniform distribution of ground users and mostly from the satellite supply side, ignoring the actual needs of ground users. However, from the point of view of commercial satellite communication, the profit of satellite constellation is of concern to operators. Therefore, we propose an evaluation method that considers the revenue capability and efficiency of constellation. The simulation results show that the constellation efficiency of Starlink is lower than One Web, while the revenue capacity is significantly higher. After we adjust the constellation structure of Starlink, the constellation efficiency and revenue capability has been improved.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123699714","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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