2020 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献_第6页

Provisioning Private 5G Networks by Means of Network Slicing: Architectures and Challenges 通过网络切片提供专用5G网络:架构和挑战

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145055

Wint Yi Poe, Jose A. Ordonez-Lucena, K. Mahmood

引用次数: 14

Joint Height Optimization and Channel Allocation for NOMA Enhanced UAV Relay Networks NOMA 增强型无人机中继网络的联合高度优化和信道分配

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145433

D. Zhai, Huan Li, Ruonan Zhang, Yutong Wang, Dawei Wang

{"title":"Joint Height Optimization and Channel Allocation for NOMA Enhanced UAV Relay Networks","authors":"D. Zhai, Huan Li, Ruonan Zhang, Yutong Wang, Dawei Wang","doi":"10.1109/ICCWorkshops49005.2020.9145433","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145433","url":null,"abstract":"In this paper, we investigate how to apply the nonorthogonal multiple access (NOMA) technique into the UAVassisted relay networks, and how to optimize system parameters to further improve the network performance. Specifically, we incorporate NOMA with the decode-and-forward (DF) relay protocol, where the destinations can receive the signals of the source and the relay simultaneously via NOMA. Theoretical analysis demonstrates that the proposed NOMA-DF-relay protocol is superior to the traditional orthogonal multiple access (OMA) based DF-relay protocol in terms of data rate. To fully exploit the advantages of the proposed protocol, we formulate a joint UAV height optimization and channel allocation problem with the objective to maximize the total data rate under the constraints of the rate requirement of each user. Based on the golden section method and the matching theory, we propose an efficient algorithm to solve the formulated problem optimally. Simulation results indicate that the NOMA-DF-relay protocol is superior to the OMA-DF-relay protocol, and the proposed algorithm can further improve the total data rate in comparison with the other schemes.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127827657","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}

引用次数: 1

Multi-Access Edge Computing Based Vehicular Network: Joint Task Scheduling and Resource Allocation Strategy 基于多接入边缘计算的车辆网络:联合任务调度与资源分配策略

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145277

Ge Wang, Fangmin Xu, Cheng-lin Zhao

{"title":"Multi-Access Edge Computing Based Vehicular Network: Joint Task Scheduling and Resource Allocation Strategy","authors":"Ge Wang, Fangmin Xu, Cheng-lin Zhao","doi":"10.1109/ICCWorkshops49005.2020.9145277","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145277","url":null,"abstract":"With the progress of 5G technology, Internet of vehicles (IoV) has entered a stage of rapid development. The deficiencies of cloud computing, such as centralized deployment, network congestion and the long distance from the terminal, make it hard to satisfy vehicular service demands. As a promising computing paradigm, Multi-access Edge Computing (MEC) can be applied to IoV scenarios. The resource management in the changeable MEC environment has become a challenging problem to be addressed. In particular, it should be noticed that IoV tasks have different sensitivities to delay and need to be treated differently. In this article, we focus on the Joint Task Scheduling and Resource Allocation problem in the MEC based vehicular system, proposing a JTSRA algorithm. Firstly, we classify computing tasks into different priorities according to their delay tolerances. Based on this, in order to improve processing efficiency, we design an approach to adjust the order of tasks. Moreover, we further transform the computing resource allocation problem into the Markov decision process and solve it with reinforcement learning. Finally, the feasibility and effectiveness of the proposed scheme are verified by simulation.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132659876","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}

引用次数: 5

Full Duplex Cloud Radio Access Networks: Performance Gains 全双工云无线接入网络:性能提升

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145416

Askar Mandali Kundu, T. V. Sreejith

引用次数: 2

NDNconf: Network Management Framework for Named Data Networking NDNconf:命名数据网络的网络管理框架

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145057

A. Afanasyev, Sanjeev Kaushik Ramani

{"title":"NDNconf: Network Management Framework for Named Data Networking","authors":"A. Afanasyev, Sanjeev Kaushik Ramani","doi":"10.1109/ICCWorkshops49005.2020.9145057","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145057","url":null,"abstract":"The rapid growth of the Internet is, in part, powered by the broad participation of numerous vendors building network components. All these network devices require that they be properly configured and maintained, which creates a challenge for system administrators of complex networks with a growing variety of heterogeneous devices. This challenge is true for today's networks, as well as for the networking architectures of the future, such as Named Data Networking (NDN). This paper gives a preliminary design of an NDNconf framework, an adaptation of a recently developed NETCONF protocol, to realize unified configuration and management for NDN. The presented design is built leveraging the benefits provided by NDN, including the structured naming shared among network and application layers, stateful data retrieval with name-based interest forwarding, in-network caching, data-centric security model, and others. Specifically, the configuration data models, the heart of NDNconf, the elements of the models and models themselves are represented as secured NDN data, allowing fetching models, fetching configuration data that correspond to elements of the model, and issuing commands using the standard Interest-Data exchanges. On top of that, the security of models, data, and commands are realized through native data-centric NDN mechanisms, providing highly secure systems with high granularity of control.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1998 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132291713","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}

引用次数: 2

Device-Free Location-Independent Human Activity Recognition using Transfer Learning Based on CNN 基于CNN的迁移学习的无设备位置无关人类活动识别

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145092

Xue Ding, Ting Jiang, Yanan Li, Wenling Xue, Yi Zhong

{"title":"Device-Free Location-Independent Human Activity Recognition using Transfer Learning Based on CNN","authors":"Xue Ding, Ting Jiang, Yanan Li, Wenling Xue, Yi Zhong","doi":"10.1109/ICCWorkshops49005.2020.9145092","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145092","url":null,"abstract":"Device-free human activity recognition based on wireless signal is becoming a vital underpinning for various emerging applications in human-computer interaction (HCI). Ubiquitous wireless communication network, especially WiFi promotes the development of relevant industrial applications as well as the academic researches. Without dedicated equipment and specific constraints, device-free human activity sensing based on WiFi has attracted widespread attention. Prevailing approaches have made great achievements in single location perception and multi-locations fusion perception. However, in practical applications how to realize location-independent sensing using as few samples as possible to achieve highaccuracy recognition is an essential and fairly crucial issue, but still a challenge. To solve the issue, we present a location independent human activity recognition system based on WiFi named WiLISensing. In this paper, we leverage a simple designed Convolutional Neural Network (CNN) architecture and transfer learning method based on it to recognize activities in a position without training or with very few training samples. What's more, we demonstrate why transfer learning is a better solution to this problem. Extensive experiments have been carried out to show that WiLISensing could achieve promising accuracy above 90% in recognizing six activities and outperform state-of-the-art approaches.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134229291","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}

引用次数: 7

Peak Age-of-Information Minimization of UAV-Aided Relay Transmission 无人机辅助中继传输的峰值信息年龄最小化

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145063

Ailin Cao, Chao Shen, Jiaying Zong, Tsung-Hui Chang

引用次数: 10

Use Cases and Standardisation Activities for eMBB and V2X Scenarios eMBB和V2X场景的用例和标准化活动

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145377

A. Kostopoulos, I. Chochliouros, Jaime Ferragut, Y. Ma, M. Kutila, A. Gavras, S. Horsmanheimo, Kai Zhang, L. Ladid, Athanassios Dardamanis, M. Kourtis

引用次数: 6

A Novel Machine Learning Approach to Estimating KPI and PoC for LTE-LAA-Based Spectrum Sharing 基于lte - laa的频谱共享中KPI和PoC估计的新机器学习方法

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145049

S. Mosleh, Yao Ma, J. Rezac, J. Coder

{"title":"A Novel Machine Learning Approach to Estimating KPI and PoC for LTE-LAA-Based Spectrum Sharing","authors":"S. Mosleh, Yao Ma, J. Rezac, J. Coder","doi":"10.1109/ICCWorkshops49005.2020.9145049","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145049","url":null,"abstract":"Machine learning (ML) approaches have been extensively exploited to model and to improve wireless communication networks in the past few years. Nonetheless, the estimation of key performance indicators (KPIs) and their uncertainties in Long Term Evolution License Assisted Access (LTE-LAA) based coexistence systems is not adequately addressed. For example, it is not clear if an ML method can accurately predict achievable KPIs (e.g. throughput) and the probability of coexistence (PoC) of LTE-LAA coexistence systems based on partial or no information of MAC and physical layer protocols and parameters. In this paper, we develop a novel ML method by combining a neural network with a logistic regression algorithm to track and estimate KPIs and PoC of coexisting LTE-LAA and wireless local area network (WLAN) links. This ML method can be applied when KPI samples at the base stations (BSs) and access points (APs) are available, without using knowledge of MAC and physical layer parameters. Comparison between the ML and simulation results indicate that the proposed ML method can track the system KPIs and predict the system PoC with good accuracy.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116707132","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}

引用次数: 7

Scalable Software Switch Based Service Function Chaining for 5G Network Slicing 基于可扩展软件交换的5G网络切片业务功能链

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145067

Antonio Matencio-Escolar, J. A. Calero, Qi Wang

引用次数: 4