2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)最新文献_第2页

A Decentralized Federated Learning Approach for Connected Autonomous Vehicles 面向互联自动驾驶汽车的分散联邦学习方法

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124733

Shiva Raj Pokhrel, Jinho Choi

引用次数: 52

Waveform Design of Low Complexity WR-OTFS System for the OOB Power Reduction 面向OOB降功耗的低复杂度WR-OTFS系统波形设计

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124756

Md. Najmul Hossain, Yosuke Sugiura, T. Shimamura, H. Ryu

{"title":"Waveform Design of Low Complexity WR-OTFS System for the OOB Power Reduction","authors":"Md. Najmul Hossain, Yosuke Sugiura, T. Shimamura, H. Ryu","doi":"10.1109/WCNCW48565.2020.9124756","DOIUrl":"https://doi.org/10.1109/WCNCW48565.2020.9124756","url":null,"abstract":"Orthogonal time frequency space (OTFS) modulation is a recently proposed 2-D modulation technique that outperforms orthogonal frequency division multiplexing (OFDM), particularly in high-speed vehicle communications. However, the OTFS system has high out-of-band (OOB) power emission. A Novel PHY layer waveform candidate should be developed to overcome such issues for the next generation 5G and beyond 5G (B5G) mobile communication systems. In this paper, we propose a windowing and restructuring orthogonal time frequency space (WR-OTFS) system to reduce OOB power emission. In our proposed system, time-domain windowing is used at the transmitter to effectively reduce the OOB power emissions, and a very short window length is enough to meet the conventional spectral mask. Simulation results demonstrate that the proposed scheme significantly reduces OOB power emission compared to conventional OFDM and OTFS schemes. Moreover, we compare the uncoded BER performance among the different systems over AWGN and delay-Doppler channels for different user equipment (UE) speeds. The proposed scheme exhibits similar performance over AWGN and delay-Doppler channels as compared to the conventional OTFS system means without degradation of communication quality. Whereas, the OFDM performance completely breaks down in high-mobility scenarios. Simulation results show that the proposed WR-OTFS scheme can be reduced OOB power emission by 66 dB and achieved a gain of 10 dB over OFDM at BER of 1×10^-3.","PeriodicalId":443582,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129840068","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: 8

Sample Size Analysis of Energy Detection under Fading Channels 衰落信道下能量检测的样本量分析

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124845

M. López-Benítez, Ogeen H. Toma, Dhaval K. Patel, K. Umebayashi

{"title":"Sample Size Analysis of Energy Detection under Fading Channels","authors":"M. López-Benítez, Ogeen H. Toma, Dhaval K. Patel, K. Umebayashi","doi":"10.1109/WCNCW48565.2020.9124845","DOIUrl":"https://doi.org/10.1109/WCNCW48565.2020.9124845","url":null,"abstract":"The performance of energy detection under fading channels has been evaluated in terms of the average probability of detection as a function of the average Signal-to-Noise Ratio (SNR) and the channel fading parameters, assuming that the decision threshold is set to achieve a constant false alarm rate. However, the signal sample size, which is an important design parameter in the configuration of an energy detector and has a significant impact on its performance, has received no attention in the context of fading channels. The mathematical expressions available in the literature to calculate the sample size required to achieve desired target performance are valid for Additive White Gaussian Noise (AWGN) channels only, and the impact of fading on the required sample size remains unknown. In this context, this work fills the existing gap by providing analytical results that establish a direct relation between the channel fading parameters and the required sample size. The results are provided for a broad variety of fading models (Rayleigh, Nakagami-m, Nakagami-q/Hoyt, Nakagami-n/Rice, etaâ€\"mu and kappaâ€\"mu) in terms of elementary functions, which enables highly efficient numerical evaluations.","PeriodicalId":443582,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745347","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: 0

Analysis of Group Distribution and Content Concentration for Packet Allocation in D2D Communication D2D通信分组分配中的分组分布与内容集中分析

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124889

Kuan Wu, Lei Zhao, M. Jiang, Xiaojing Huang

引用次数: 1

Multi-Channel Lightweight Convolutional Neural Network for Remote Myocardial Infarction Monitoring 用于心肌梗死远程监测的多通道轻量级卷积神经网络

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124860

Yangjie Cao, Tingting Wei, Nan Lin, Di Zhang, J. Rodrigues

{"title":"Multi-Channel Lightweight Convolutional Neural Network for Remote Myocardial Infarction Monitoring","authors":"Yangjie Cao, Tingting Wei, Nan Lin, Di Zhang, J. Rodrigues","doi":"10.1109/WCNCW48565.2020.9124860","DOIUrl":"https://doi.org/10.1109/WCNCW48565.2020.9124860","url":null,"abstract":"Remote Myocardial Infarction (RMI) monitoring uses electronic devices to detect the electrocardiogram changes and inform the doctor in emergency conditions, which is an effective solution to save the patient's life. In this paper, we propose the Multi-Channel Lightweight CNN (MCL-CNN), which combines electrocardiogram signals from four leads (v2, v3, v5 and aVL) to detect the Anterior MI (AMI). Its multi-channel design allows the convolution of each lead to be independent of each other, and allowing them to find the filter that best suits them. In addition, constructing a lightweight network using different convolutional combinations in the MCL-CNN model, which makes the network has certain advantages in computing runtime parameters and more suitable for mobile devices. Meanwhile, we use balanced cross entropy to solve the problem of dataset class imbalance. These strategies make the MCL-CNN suitable for multi-lead ECG processing. Experimental results using public ECG datasets obtained from the PTB diagnostic database demonstrate that MCL-CNN's accuracy is 96.65%.","PeriodicalId":443582,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127128769","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

Orbital Angular Momentum Multiplexing for a Wireless Backhaul Communication System 无线回程通信系统的轨道角动量复用

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124864

Ashwini Sawant, I. Lee, E. Choi

引用次数: 2

End-to-End Delay Analysis in mmWave UAV-Assisted Wireless Caching Networks 毫米波无人机辅助无线缓存网络的端到端延迟分析

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124875

K. Liao, Guan-Yi Chen, Yu-Jia Chen, Yung-Fang Chen

{"title":"End-to-End Delay Analysis in mmWave UAV-Assisted Wireless Caching Networks","authors":"K. Liao, Guan-Yi Chen, Yu-Jia Chen, Yung-Fang Chen","doi":"10.1109/WCNCW48565.2020.9124875","DOIUrl":"https://doi.org/10.1109/WCNCW48565.2020.9124875","url":null,"abstract":"In this paper, we analyze the end-to-end delay bound of the uplink transmission in an unmanned aerial vehicle (UAV)-assisted wireless network, where the UAV acts as the edge caching node to enhance the quality of service for content providers. Due to the emerging wireless connected intelligent devices, it is expected that the uplink traffic will grow dramatically. Recently, cache-enabled UAV base stations (UAV- BSs) are proposed to relieve the massive upload contents from neighboring devices. Meanwhile, since the storage tasks are executed close to the devices, the network latency can be reduced, which is a promising way to provide delay-sensitive services. To understand the performance impact of UAV-based wireless caching, we adopt network calculus to analyze the upper bound of uplink latency. The proposed model takes into account the transmission failure probability caused by the mobility of UAVs. Our numerical results confirm the performance gain of using cache-enabled UAV-BSs in wireless mobile networks. This work can provide insights for the design of ultra-reliable and low latency communications in UAV systems.","PeriodicalId":443582,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126460526","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

VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks 支持SDN/ nfv的MEC网络中VNF的放置和资源分配

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124910

Nahida Kiran, Xuanlin Liu, Sihua Wang, Changchuan Yin

{"title":"VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks","authors":"Nahida Kiran, Xuanlin Liu, Sihua Wang, Changchuan Yin","doi":"10.1109/WCNCW48565.2020.9124910","DOIUrl":"https://doi.org/10.1109/WCNCW48565.2020.9124910","url":null,"abstract":"Network function virtualization (NFV), software defined networks (SDNs), and mobile edge computing (MEC) are emerging as core technologies to satisfy increasing number of users' demands in 5G and beyond wireless networks. SDN provides clean separation of the control plane from the data plane while NFV enables the flexible and on-the-fly creation and placement of virtual network functions (VNFs) and are able to be executed within the various locations of a distributed system and, in our case, in the NFV-enabled MEC nodes. VNF placement and resource allocation (VNFPRA) problem is considered in this paper which involves placing VNFs optimally in distributed NFV-enabled MEC nodes and assigning MEC resources efficiently to these VNFs to satisfy users' requests in the network. Current solutions to this problem are slow and cannot handle real-time requests. To this end, we propose an SDN-NFV infrastructure to tackle the VNFPRA problem in wireless MEC networks. Our aim is to minimize the overall placement and resource cost. Two algorithms are proposed: (i) an optimal solution formulated as a mixed integer program (MIP) problem (ii) a genetic based heuristic solution. The superior performance of the proposed solution is confirmed in comparison with two existing algorithms such as Random-Fit Placement Algorithm (RFPA) and First-Fit Placement Algorithm (FFPA). The results demonstrate that a coordinated placement of VNFs in SDN/NFV enabled MEC networks can satisfy the objective of overall reduced cost. Simulation results also reveal that the proposed scheme approximates well with our optimal solution returned by gurobi and also achieves reduction on overall cost compared to other methods.","PeriodicalId":443582,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134508167","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: 28

Energy-Balanced and Distributed Clustering Protocol for IoT Wireless Sensors 面向物联网无线传感器的能量均衡分布式集群协议

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124835

M. Hassan, Shiva Raj Pokhrel, Bahaa Al-Musawi

引用次数: 4

NoViSec: Novel Virtual Network Mapping Framework for Secure Software-Defined Networking 面向安全软件定义网络的新型虚拟网络映射框架

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2020-04-01 DOI: 10.1109/WCNCW48565.2020.9124795

Haotong Cao, Yue Hu, Shengchen Wu, Jianbo Du, Feng Tian, G. Aujla, Longxiang Yang

{"title":"NoViSec: Novel Virtual Network Mapping Framework for Secure Software-Defined Networking","authors":"Haotong Cao, Yue Hu, Shengchen Wu, Jianbo Du, Feng Tian, G. Aujla, Longxiang Yang","doi":"10.1109/WCNCW48565.2020.9124795","DOIUrl":"https://doi.org/10.1109/WCNCW48565.2020.9124795","url":null,"abstract":"Network softwarization technologies, such as software defined networking (SDN), network virtualization (NV), and network function virtualization (NFV), emerge and have been greatly promoted by their supporters. This softwarization scheme contributes to isolating network control from data panel, and allocating virtualized physical network resources flexibly. However, physical switches and links, supporting the softwarization scheme, may be attacked by malicious attackers. Even if these switches and links are softwarized and virtualized successfully, the problem of mapping various virtual network requests, known as virtual network embedding, is difficult to solve directly. Each customized VN request must be allocated and implemented in the appropriate manner. To deal with these issues, we research the virtual network mapping for secure SDN-enabled networks. Firstly, a hierarchical virtualization architecture for SDN- enabled networks is presented. Then, the security model for different malicious attacks is presented. Thirdly, we propose the novel and secure virtual network mapping framework, labeled as textit{NoViSec}, for supporting SDN-enabled networks. Preliminary experiment results are plotted and discussed so as to validate the effectiveness of our secure textit{NoViSec} framework.","PeriodicalId":443582,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114321723","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