2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)最新文献_第2页

Deep Learning Decoder for MIMO Communications with Impulsive Noise 基于脉冲噪声的MIMO通信深度学习解码器

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045329

Oscar Delgado, F. Labeau

{"title":"Deep Learning Decoder for MIMO Communications with Impulsive Noise","authors":"Oscar Delgado, F. Labeau","doi":"10.1109/CCNC46108.2020.9045329","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045329","url":null,"abstract":"In this paper we consider signal detection in multiple-input-multiple-output (MIMO) systems with an impulsive noise channel. The existing, near optimal, sphere decoder (SD) achieves good performance, however, the computational complexity is directly related to the number of nodes visited during the tree search and the signal-to-noise ratio (SNR). Using neural network techniques, a Deep Learning Detector (DLD) is proposed. The DLD method detects signals transmitted in an impulsive noise channel, after an off-line training phase. The detection process of DLD has lower complexity than the average SD complexity, while exhibiting good performance. What is even more interesting is that the computational complexity of DLD is constant across SNR, in contrast to the SD detectors, which have an exponential complexity across the SNR. This constant complexity could be very helpful when implementing a detector in practice because it could allow for better optimization of resources. To evaluate the performance of our proposed method we have used a low level simulator that generates a fairly accurate model of a MIMO system with an impulsive noise channel. The complexity analysis and simulation results validate the arguments presented in this paper.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129627081","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: 4

CSI feedback based on space-frequency compression 基于空频压缩的CSI反馈

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045228

Md. Saifur Rahman, E. Onggosanusi, Hongbo Si, Joonyoung Cho

引用次数: 1

Detecting Malware-infected Hosts Using Templates of Multiple HTTP Requests 使用多个HTTP请求模板检测受恶意软件感染的主机

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045542

Taiga Hokaguchi, Y. Ohsita, Toshiki Shibahara, Daiki Chiba, Mitsuaki Akiyama, M. Murata

引用次数: 3

Convergence Communication over Heterogeneous Mesh Network for Disaster and Underserved Areas 基于异构Mesh网络的灾害和欠发达地区融合通信

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045227

A. M. Chandran, M. Zawodniok, A. Phillips

{"title":"Convergence Communication over Heterogeneous Mesh Network for Disaster and Underserved Areas","authors":"A. M. Chandran, M. Zawodniok, A. Phillips","doi":"10.1109/CCNC46108.2020.9045227","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045227","url":null,"abstract":"The existing data service providers have gaps in their connectivity, especially in disaster and remote underserved areas. A mesh network can address this shortcoming by providing Internet access to devices outside the coverage area with the help of other nearby devices. Mesh networks are homogeneous using a single interface across the network and require large-scale deployment of proprietary devices. We propose to build a heterogeneous mesh network using various interfaces such as Wi-Fi, Bluetooth, and cellular data services to connect devices. These interfaces are available in devices such as smartphones, laptops, and home automation devices and have the potential to be a convergence device. We present an Android application enabling devices with various interfaces to become convergence devices and build heterogeneous mesh networks to address the shortcoming of the existing wireless ISP services. We target this prototype implementation to provide a tactical communication link in disaster zones, enabling the public to build the network and send a life-critical distress signal calling for help. The proposed implementation achieved an average throughput of 1 Mbps with multiple hops and through Wi-Fi, Bluetooth, and cellular data service.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317234","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

Virtual Network Function Placement Method for Evolving Network Slices based on Salience 基于显著性的网络切片演化虚拟网络功能放置方法

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045322

Takahiro Hirayama, M. Jibiki, Ved P. Kafle

{"title":"Virtual Network Function Placement Method for Evolving Network Slices based on Salience","authors":"Takahiro Hirayama, M. Jibiki, Ved P. Kafle","doi":"10.1109/CCNC46108.2020.9045322","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045322","url":null,"abstract":"Network function virtualization (NFV) technology enables us to deploy a distinct network slice composed of various virtualized network functions (VNFs) required for a given service, such as video on demand (VoD) and Internet-of-things (IoT). As a result, application service providers (ASPs) can easily deploy and provide their services to end users (EUs) by leasing resources formed as network slices. However, as the user population or the network traffic volume fluctuates, the capacity of network slices has to be adjusted dynamically. It requires to take decision about placing NFs in appropriate locations so that the quality of services (QoS), such as transmission or processing latency is guaranteed while optimally utilizing the reserved resources. One can address the above challenge by solving an optimization problem such as integer linear programming. However, the optimization problem takes much time to solve. In this paper, we propose a network function placement algorithm based on salience, which is one of characteristic metrics of links in graphs. Our objectives are two folds: keeping the slice reconstruction cost low, and avoiding the cases of QoS degradation. The simulation results show that our scheme performs equally well for different sizes of slices (i.e., the number of EUs). When slices are reconstructed with our scheme in a 200-node network, we found that the network reconfiguration costs are low and almost the same value for various sizes of slices.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130076005","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

Alternate Action Recommender System Using Recurrent Patterns of Smart Home Users 使用智能家居用户循环模式的替代行动推荐系统

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045128

Prabhat Mishra, Suresh Kumar Gudla, Amogha D. Shanbhag, Joy Bose

引用次数: 5

OTMS: A Novel Radar-Based Mapping System for Automotive Applications OTMS:一种新型的基于雷达的汽车测绘系统

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045231

J. Bode, Arslan Munir

{"title":"OTMS: A Novel Radar-Based Mapping System for Automotive Applications","authors":"J. Bode, Arslan Munir","doi":"10.1109/CCNC46108.2020.9045231","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045231","url":null,"abstract":"Current automotive radar systems are designed to detect objects within an area around the vehicle and provide alerts or other driving assistance features to the driver. The main goal of these driving assistance systems is to increase safety of not only the driver but also increase safety for pedestrians on and around roadways. In this paper, we propose an on-board terrain mapping system (OTMS), which is an automotive radar-based system that extends the automotive safety goals to include mapping and vehicle-to-everything (V2X) communication. The proposed system utilizes a 94 GHz 3-dimensional (3D) pulsed radar to sense the environment around the vehicle and create a 3D model of the environment that can be sampled into a global database for mapping purposes. Objects are also detected and tracked within the model and can be used to provide assistive driving to the user even in adverse weather conditions. The model generated by the system can then be stored locally on the automobile or transmitted to other vehicles or infrastructure for use in mapping, navigation, and/or safety applications. The results validate that the OTMS is a valid system for providing safety and mapping functions for advanced driver assistance systems (ADAS).","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132979062","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

ESAC: An Energetic Sustainable Adaptive Clustering Protocol for Heterogenous Wireless Ad Hoc Networks (HANETs) ESAC:面向异构无线自组网(HANETs)的能量可持续自适应聚类协议

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045635

Nahid Ebrahimi Maid, M. McDermott

{"title":"ESAC: An Energetic Sustainable Adaptive Clustering Protocol for Heterogenous Wireless Ad Hoc Networks (HANETs)","authors":"Nahid Ebrahimi Maid, M. McDermott","doi":"10.1109/CCNC46108.2020.9045635","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045635","url":null,"abstract":"We study adaptive clustering in heterogenous wireless ad hoc networks (HANETs) and propose ESAC, an energetic sustainable protocol that adaptively forms clusters using a weighted election function based on the current energy status of nodes in each region. The proposed protocol is distributed, and each node independently makes the decision to become a cluster head at the current round. The workload of a cluster head is heavy, including forming the cluster, collecting data from cluster members, data aggregation and transmission to faraway base station. ESAC selects an optimum number of cluster heads in each round among high-powered nodes that can afford the heavy duties of a cluster head. The protocol keeps track of the nodes' residual energies and selects the high-powered nodes as cluster heads more frequently than other nodes. As a result, although each node starts with a different initial energy, it adaptively tunes its energy consumption with its residual energy and the current energy status of other nodes, so that all nodes deplete their batteries at almost the same time. ESAC is energetic sustainable and the nodes last for as long as possible. Classical clustering protocols assume the same or certain number of initial energy levels for nodes, however ESAC is designed for HANETs where nodes have different energy levels. We validated the effectiveness and efficiency of our protocol through simulations. The analysis of our results showed that on an average ESAC reduces the instability into 46% and improves the total throughput by 42% and the stable phase throughput by 21% (and as high as 32%) in a HANET.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567018","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

TrinaryMC: Monte Carlo Based Anchorless Relative Positioning for Indoor Positioning 基于蒙特卡罗的室内无锚相对定位

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045296

Steven M. Hernandez, E. Bulut

{"title":"TrinaryMC: Monte Carlo Based Anchorless Relative Positioning for Indoor Positioning","authors":"Steven M. Hernandez, E. Bulut","doi":"10.1109/CCNC46108.2020.9045296","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045296","url":null,"abstract":"Identifying positions of mobile devices within indoor environments allows for the development of advanced applications with context and environmental awareness. Classic localization methods require GPS; an expensive, high power consuming and inaccurate solution for indoor situations. Relative positioning allows nodes to recognize their location in relation to neighboring nodes to develop an internal mapping of their own position compared to those around them. This enables a quick deployment of a given system in new, unknown indoor environments without requiring prerequisite human mapping steps. In this paper, we develop a Monte Carlo Localization (MCL) based anchorless, relative positioning algorithm which simplifies the problem to considering three states of interaction between devices: approaching, retreating and invisible. Considering three states contributes to existing MCL methods which so far only consider binary states of visible or invisible. Through our anchorless approach, we show by simulations that TrinaryMC can provide more accurate positioning information than existing anchor based methods without relying on GPS, hence decreasing hardware costs and energy consumption from the use of GPS modules as well as reducing communication overhead compared to state-of-the-art MCL methods.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132692457","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: 3

NCSbench: Reproducible Benchmarking Platform for Networked Control Systems NCSbench:可复制的网络控制系统基准测试平台

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045199

Samuele Zoppi, Onur Ayan, Fabio Molinari, Z. Music, Sebastian Gallenmüller, G. Carle, W. Kellerer

{"title":"NCSbench: Reproducible Benchmarking Platform for Networked Control Systems","authors":"Samuele Zoppi, Onur Ayan, Fabio Molinari, Z. Music, Sebastian Gallenmüller, G. Carle, W. Kellerer","doi":"10.1109/CCNC46108.2020.9045199","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045199","url":null,"abstract":"The evolution of the Internet of Things accelerated the development of Cyber-Physical Systems. Among them, Networked Control Systems (NCS) gained notable attention thanks to their application to industrial operations. Experimental NCS require expertise from control, computation, and communication disciplines. This requirement, together with the fragmentation of implementation platforms and experimental investigations, represents a challenge for the reproducibility and comparison of research results. In this paper, we tackle this problem by proposing a novel NCS benchmarking methodology that aids the reproducibility of NCS experiments. Relying on a novel approach to model the architectural elements and the delays of NCS, the methodology defines the experiment parameters and the relevant Key Performance Indicators (KPIs) that need to be observed during its execution. Furthermore, we detail the implementation of the first reproducible benchmarking platform for NCS. The proposed platform is open-source and designed to be easily reproducible and extensible by anyone. Finally, we replicate and evaluate the platform following the proposed NCS benchmarking methodology. The experimental results evaluate and compare the KPIs during the execution of the platform in different benchmarking scenarios, proving the validity of the proposed benchmarking methodology.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128830500","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: 4