2020 IEEE Eighth International Conference on Communications and Networking (ComNet)最新文献_第3页

Performance Analysis of Index Modulation Based Multiple Access Under Imperfect Channel Estimation 不完全信道估计下基于索引调制的多址性能分析

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306091

Abdullateef Almohamad, S. Althunibat, M. Qaraqe, R. Mesleh, M. Hasna

引用次数: 6

Energy-Efficient Dynamic Clustering for IoT Applications: A Neural Network Approach 面向物联网应用的节能动态聚类:神经网络方法

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306092

Liang Manman, Qin Xin, Pratik Goswami, A. Mukherjee, Lixia Yang

{"title":"Energy-Efficient Dynamic Clustering for IoT Applications: A Neural Network Approach","authors":"Liang Manman, Qin Xin, Pratik Goswami, A. Mukherjee, Lixia Yang","doi":"10.1109/ComNet47917.2020.9306092","DOIUrl":"https://doi.org/10.1109/ComNet47917.2020.9306092","url":null,"abstract":"The Internet of Things (IoT) realizes the interconnection of different paradigms in information technologies along with their connectivity. With its evolution, the cost and energy efficiency along with ease of life stands as a challenge towards its deployments. Advances in Artificial Intelligence coupled with IoT connectivity provide lots of potentials for real-time communication applications. To address the issue of energy-efficient computing for these applications, we propose an improved dynamic clustering algorithm which can be implemented in IoT applications which comprises of heterogeneous Wireless Sensor Networks (WSNs). Initially, we use neural network and Copula theory to process the information quantity based on power demand by individual clusters. This avoids the information redundancy and the waste of resources caused by repeated construction of similar type of clusters (as in conventional methods). According to the power requirement, the nodes based on the applications are divided into two initial clusters, and compared with the set thresholds. These are then used to assign logical values to the nodes in the cluster. Since, the amounts of observation information of the nodes are not always useful due to random energy consumption; the Back Propagation Neural Network (BPNN) is used to optimize the amount of information to form the final dynamic cluster efficiently. The simulation results showed that the proposed method can effectively utilize the information in the cluster and balance the inter-cluster cooperative communication energy efficiently for IoT applications. The effectiveness of the proposed approach and the superiority compared with the traditional methods had also been demonstrated through the simulation results. We hope our work can further stimulate the investigations on energy and cost efficient methodologies for smart IoT applications.","PeriodicalId":351664,"journal":{"name":"2020 IEEE Eighth International Conference on Communications and Networking (ComNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259217","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

SNR Prediction in Cellular Systems based on Channel Charting 基于信道图的蜂窝系统信噪比预测

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306087

Parham Kazemi, H. Al-Tous, Christoph Studer, O. Tirkkonen

{"title":"SNR Prediction in Cellular Systems based on Channel Charting","authors":"Parham Kazemi, H. Al-Tous, Christoph Studer, O. Tirkkonen","doi":"10.1109/ComNet47917.2020.9306087","DOIUrl":"https://doi.org/10.1109/ComNet47917.2020.9306087","url":null,"abstract":"We consider a machine learning algorithm to predict the Signal-to-Noise-Ratio (SNR) of a user transmission at a neighboring base station in a massive MIMO (mMIMO) cellular system. This information is needed for Handover (HO) decisions for mobile users. For SNR prediction, only uplink channel characteristics of users, measured in a serving cell, are used. Measuring the signal quality from the downlink signals of neighboring Base Stations (BSs) at the User Equipment (UE) becomes increasingly problematic in forthcoming mMIMO Millimeter-Wave (mmWave) 5G cellular systems, due to the high degree of directivity required from transmissions, and vulnerability of mm Wave signals to blocking. Channel Charting (CC) is a machine learning technique for creating a radio map based on radio measurements only, which can be used for radio-resource-management problems. A CC is a two-dimensional representation of the space of received radio signals. Here, we learn an annotation of the CC in terms of neighboring BS signal qualities. Such an annotated CC can be used by a BS serving a UE to first localize the UE in the CC, and then to predict the signal quality from neighboring BSs. Each BS first constructs a CC from a number of samples, determining similarity of radio signals transmitted from different locations in the network based on covariance matrices. Then, the BS learns a continuous function for predicting the vector of neighboring BS SNRs as a function of a 2D coordinate in the chart. The considered algorithm provides information for handover decisions without UE assistance. UE-power consuming neighbor measurements are not needed, and the protocol overhead for HO is reduced.","PeriodicalId":351664,"journal":{"name":"2020 IEEE Eighth International Conference on Communications and Networking (ComNet)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121190976","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: 12

Securing Smart Homes using a Behavior Analysis based Authentication Approach 使用基于行为分析的身份验证方法保护智能家居

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306081

Noureddine Houcine Amraoui, Amine Besrour, Riadh Ksantini, Belhassen Zouari

引用次数: 0

[Copyright notice] (版权)

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/comnet47917.2020.9306100

引用次数: 0

On the Improvement of Positioning Accuracy in Wireless Sensor Network using Smart Antennas 利用智能天线提高无线传感器网络的定位精度

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306083

T. Loh, Haoyu Lin

引用次数: 1

Opportunities and Challenges of Bridging the Digital Divide using 5G enabled High Altitude Platforms and TVWS spectrum 利用支持5G的高空平台和TVWS频谱弥合数字鸿沟的机遇和挑战

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306090

K. Katzis, L. Mfupe, H. M. Hussien

{"title":"Opportunities and Challenges of Bridging the Digital Divide using 5G enabled High Altitude Platforms and TVWS spectrum","authors":"K. Katzis, L. Mfupe, H. M. Hussien","doi":"10.1109/ComNet47917.2020.9306090","DOIUrl":"https://doi.org/10.1109/ComNet47917.2020.9306090","url":null,"abstract":"Like with the past generations of mobile cellular networks, deployment of 5G services in rural areas are expected to be financially and technically challenging. Currently, researchers around the globe explore the possibility of employing the underutilized/unused portion of TV spectrum referred to as TV White Spaces (TVWS) as a low-cost alternative to traditional licensed type of wired/wireless broadband networks and possibly as a way to bridge the gap of broadband service availability between rural and urban areas. Delivering TVWS services from High Altitude Platforms (HAPs) is an option that many developed /developing countries can use to provide broadband services over many of their rural and low-income population. This work presents the advantages of employing TVWS spectrum from HAPs as well as the challenges of this type of communication architecture. More specifically, this work proposes a novel communication type of architecture where HAPs are delivering broadband services using the TVWS spectrum. Taking advantage of their position in the sky and the centralized nature of the communication system, they deliver communications over a wide area while monitoring and optimizing radio resource allocation. The paper evaluates the performance of such a system based on the IEEE 802.22 standard and the free space path-loss model ITV - R P.452.","PeriodicalId":351664,"journal":{"name":"2020 IEEE Eighth International Conference on Communications and Networking (ComNet)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253385","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

Resource Allocation Steps for an Efficient End-to-End Service Delivery in Network Function Virtualization: A Survey 网络功能虚拟化中高效端到端服务交付的资源分配步骤综述

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306074

Inès Raïssa Djouela Kamgang, Ghayet El Mouna Zhioua, N. Tabbane

引用次数: 0

Efficient SDN Controller for Safety Applications in SDN-Based Vehicular Networks: POX, Floodlight, ONOS or OpenDaylight? 基于SDN的车载网络安全应用的高效SDN控制器:POX、泛光灯、ONOS还是OpenDaylight?

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306095

K. Smida, H. Tounsi, M. Frikha, Yeqiong Song

引用次数: 8

Diabetes Analytics and Recommendation Engine (DARE) 糖尿病分析和推荐引擎(DARE)

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) Pub Date : 2020-10-27 DOI: 10.1109/ComNet47917.2020.9306071

Joe Frederick Samuel, Zied Bouida, Pooria Shafia, Mohamed Hozayen, L. Kassab, Lama Kassab, M. Ibnkahla

引用次数: 0