2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)最新文献_第2页

Methods for the Allocation of Almost Blank Subframes with Fixed Duty Cycle for Improved LTE-U/Wi-Fi Coexistence 改进LTE-U/Wi-Fi共存的固定占空比几乎空白子帧分配方法

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942400

Moawiah Alhulayil, M. López-Benítez

{"title":"Methods for the Allocation of Almost Blank Subframes with Fixed Duty Cycle for Improved LTE-U/Wi-Fi Coexistence","authors":"Moawiah Alhulayil, M. López-Benítez","doi":"10.1109/wincom47513.2019.8942400","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942400","url":null,"abstract":"In order to cope with the increased demand of wireless services and applications, LTE over unlicensed spectrum has been proposed to extend the operation of LTE to operate also over unlicensed bands. However, this extension faces various challenges regarding the coexistence between LTE-U and different technologies that use these unlicensed spectrum bands such as Wi-Fi technology. The first scenario of LTE allowing LTE to operate over unlicensed bands is LTE-Unlicensed duty cycling (LTE-U). Specifically, LTE-U can coexist with Wi-Fi by allowing LTE-U devices to transmit only in predetermined duty cycles (DCs) or to use adaptive DCs for LTE based on the activity measurements. In this paper, we investigate the downlink performance of LTE-U and Wi-Fi under different traffic loads. The main novelty of this work is to exploit the knowledge of the existing Wi-Fi traffic activity to select a fixed DC for LTE. Moreover, two proposed methods to allocate the blank subframes within LTE frames are provided. Simulation results using NS-3 simulator for LTE-U and Wi-Fi coexistence mechanism under different traffic loads are provided. In particular, the results show that the coexistence mechanism between LTE-U and Wi-Fi in the 5 GHz band achieves better total aggregated throughputs for the coexisting technologies using the proposed approach. Moreover, the location of the blank subframes plays a key role in this coexistence in terms of the total aggreaated throughputs.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953981","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

Model to Improve the Forecast of the Content Caching based Time-Series Analysis at the Small Base Station 基于时间序列分析的小型基站内容缓存预测改进模型

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942587

Khalil Ibrahimi, Ouafa Ould Cherif, M. Elkoutbi, Imane Rouam

{"title":"Model to Improve the Forecast of the Content Caching based Time-Series Analysis at the Small Base Station","authors":"Khalil Ibrahimi, Ouafa Ould Cherif, M. Elkoutbi, Imane Rouam","doi":"10.1109/wincom47513.2019.8942587","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942587","url":null,"abstract":"In the new cellular systems (5G), the approach of caching content in the small Base Stations (sBS) is considered to be a suitable approach to improve the efficiency and to reduce the user perceived latency content delivery. Proactively serving estimated users demands, via caching at sBS is crucial due to storage limitations. But, it requires knowledge about the content popularity distribution, which is often not available in advance. Moreover, human behavior is predictable, and contents popularity are subject to fluctuations since mobile users with different interests connect to the caching entity over time and in different places. In this paper, we focus on the prediction of popularity evolution of video contents/files, based on the observation of past solicitations. We propose the FORECASTING schemes to manage this problem based on the time series model Seasonal AutoRegressive Integrated Moving Average (SARIMA) to interpret the temporal influence. The scheme is based on two algorithms in static and dynamic cases to manage future cache decisions. Several numerical results are given with comments that confirm the proposed idea.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125516396","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

Three branch microwave channelized active bandpass filter 三支路微波信道化有源带通滤波器

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942576

Mariem Jarjar, Nabih Pr. el Ouazzani

引用次数: 0

High Performance SDR for Monitoring System for GNSS Jamming Localization 面向GNSS干扰定位的高性能SDR监测系统

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942521

Filip Šture, T. Morong, P. Kovář, P. Puričer

引用次数: 5

Neural Network Adaptive Control of Dissolved Oxygen for an Activated Sludge process 活性污泥过程溶解氧的神经网络自适应控制

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942417

Nissrine Drioui, E. E. Mazoudi, J. Alami

引用次数: 1

Machine Learning based System for Prediction of Breast Cancer Severity 基于机器学习的乳腺癌严重程度预测系统

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942575

Sara Laghmati, A. Tmiri, B. Cherradi

{"title":"Machine Learning based System for Prediction of Breast Cancer Severity","authors":"Sara Laghmati, A. Tmiri, B. Cherradi","doi":"10.1109/wincom47513.2019.8942575","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942575","url":null,"abstract":"Breast cancer is one of the most common diseases and the leading cause of death to mostly females all over the world. Early detection can provide higher treatment efficiency and better healing chances. Even though mammography screening is handy in diagnosing breast cancer at an early stage, Computer-Aided Diagnosis (CAD) systems can help to reduce the cancer death-rate. Radiologists, physicians, and doctors, in general, make use of these CAD systems to diagnose, detect, analyze and make decisions whether the patient is benign or malignant. The present paper presents some data mining techniques used in the diagnosis of cancer such as Artificial Neuron Network (ANN), K-Nearest Neighbors (KNN), Binary Support Vector Machine (Binary SVM), and Decision Tree (DT). Within this framework, the database utilized is the Mammographic Mass dataset. This database contains data of probabilistic breast cancer patients and the advanced results by experts in the field. The paper adopts a confusion matrix for binary prediction as a method of data analysis. The present paper provides a comparison between the different Computer-Aided diagnosis systems techniques regarding accuracy, specificity, and sensitivity amidst many other criteria to find the most accurate alternative among ANN, KNN, Binary SVM, and DT.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806317","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: 20

ArchiMate based Security Risk Assessment as a service: preventing and responding to the cloud of things' risks 基于ArchiMate的安全风险评估服务:预防和响应物云的风险

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942475

W. Abbass, Amine Baïna, M. Bellafkih

{"title":"ArchiMate based Security Risk Assessment as a service: preventing and responding to the cloud of things' risks","authors":"W. Abbass, Amine Baïna, M. Bellafkih","doi":"10.1109/wincom47513.2019.8942475","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942475","url":null,"abstract":"The Cloud Computing and the Internet of Things (IoT) combination “Cloud of Things” renders the devices' generated data more efficient for the development of intelligent ap- plications. However, due to the data outsourcing, it is confronted to a constant risk. The paper introduces an ArchiMate based Security Risk Assessment as a service model (ASRAaaS) in order to strengths the Cloud of Things' security. This service model integrates two frameworks: preventive and reactive risk analysis. Indeed, the combination of preventive and responsive approaches delivered valuable results. In fact, the Responsive Risk Analysis investigates all the relevant risks earlier, so accordingly before their potential occurrence. This investigation is then tailored as a Model-base, which a mobile agent is responsible for its management. Mobile Agents technology is the key combining the preventive and responsive approaches, shifting thus risk countermeasures decisions from the preventive approach to the responsive one. Our contribution grants security for Cloud of things without influencing its performance.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122072330","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

Indoor Spectrum Occupancy in Morocco for Cognitive Radio applications: Measurements and Analysis 摩洛哥用于认知无线电应用的室内频谱占用:测量和分析

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942455

F. Bahi, H. Ghennioui, M. Zouak

引用次数: 0

Bio-inspired energy efficient clustering approach for wireless sensor networks 基于生物的无线传感器网络节能聚类方法

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942532

I. E. Agbehadji, R. Millham, S. Fong, Jason J. Jung, Khac-Hoai Nam Bui, A. Abayomi, Samuel Ofori Frimpong

{"title":"Bio-inspired energy efficient clustering approach for wireless sensor networks","authors":"I. E. Agbehadji, R. Millham, S. Fong, Jason J. Jung, Khac-Hoai Nam Bui, A. Abayomi, Samuel Ofori Frimpong","doi":"10.1109/wincom47513.2019.8942532","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942532","url":null,"abstract":"In this paper, we proposed an approach to clustering based on bio-inspired behaviour and distributed energy efficient model. The motivation to propose this clustering approach is due to the challenge of performance in terms of finding an efficient way to send data packets to base stations and to maintain the lifetime performance of wireless sensor networks. The bioinspired approach adopted the behaviour of a bird called Kestrel. This behaviour is expressed using mathematical formulation and then translated into an algorithm. The bio-inspired algorithm is combined with the distributed energy efficient model for clustering to ensure efficient energy optimization. The proposed clustering approach, referred to as DEEC-KSA, is evaluated through simulation and compared with benchmarked clustering algorithms. The result of simulation showed that the performance of DEEC-KSA is efficient among the comparative clustering algorithms for energy optimization in terms of stability period, network lifetime and network throughput. Additionally, the proposed DEEC-KSA has the optimal time (in seconds) to send packets to base station successfully.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134479782","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

Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM 基于PCA-SVM-HMM混合分类器的智能手机活动识别

2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2019-10-01 DOI: 10.1109/wincom47513.2019.8942492

B. Abidine, B. Fergani, Ihssene Menhour

引用次数: 5