{"title":"Clustering Validation for mmWave Multipath Components in Outdoor Transmissions","authors":"Miead Tehrani Moayyed, B. Antonescu, S. Basagni","doi":"10.1109/WD.2019.8734258","DOIUrl":"https://doi.org/10.1109/WD.2019.8734258","url":null,"abstract":"Radio channel propagation models for the mmWave spectrum are of paramount importance for the design and planning of future 5G wireless communications systems. Since transmitted radio signals are received as clusters of multipath rays, the problem arise about how to identify them, which is functional to extract better spatial and temporal characteristics of the mmWave channel. This paper deals with the validation of the results produced by the clustering process. Specifically, we estimate the effectiveness of the k-means clustering algorithm in predicting the number of clusters by using cluster validity indices (CVIs) and score fusion techniques. We consider directive transmissions in outdoor scenarios and we show the importance of the correct estimation of the number of clusters for the mmWave radio channel simulated with a software ray-tracer tool. Our investigation shows that clustering is no trivial task because the optimal number of clusters is not always given by one or by a combination of more CVIs. In fact, a few of the CVIs used in our study were not capable to determine correct partitioning. However, using score fusion methods and additional techniques we find two solutions for the number of clusters based on power and time of arrival of the multipath rays or based on their angle of arrival.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128832211","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}
{"title":"New Generalized Multistream Spatial Modulation for Wireless Communications","authors":"N. Ugrelidze, S. Shavgulidze, Mariam Sordia","doi":"10.1109/WD.2019.8734195","DOIUrl":"https://doi.org/10.1109/WD.2019.8734195","url":null,"abstract":"We consider a new generalized multistream spatial modulation system which employs time-variable number of all possible active antenna combinations. The case for no antenna is active is also included. Optimized four-dimensional signal constellation is constructed on the basis of combination of binary frequency shift keying and M-ary phase shift keying. The receiving side contains linear diversity combining scheme and signal detector. The signal transmission over Rayleigh fading channel with additive white Gaussian noise is considered. It is assumed that at the receiver the channel state information is known and this knowledge is used during signal detection procedure. For particular four-dimensional constellations, specific number of transmit and receive antennas and different bandwidth of signals we estimated the symbol error rate performances.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132361351","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}
{"title":"Investigating and Revealing Privacy Leaks in Mobile Application Traffic","authors":"Shuhui Chen, Shuang Zhao, Biao Han, Xiaoyan Wang","doi":"10.1109/WD.2019.8734246","DOIUrl":"https://doi.org/10.1109/WD.2019.8734246","url":null,"abstract":"Mobile devices and applications are playing an important role in people’s daily activities. Although mobile application greatly enriches and facilitates the lives of its users, the users are unconsciously giving away their privacy. In this paper, a mobile traffic analysis tool is proposed to find out what private data is leaked from application network traffic. The analysis process has two steps, including capturing network traffic and analyzing privacy leakage. By applying this tool on traffic from 51 popular applications in China, we show that a lot of private information can be obtained by passively monitoring network traffic, such as location, device information, online behavior, and even personal password. Finally, the measures for mitigating the leakage of private user data are discussed.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116102613","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}
K. D. Irianto, Juan A. Cabrera, Giang T. Nguyen, H. Salah, F. Fitzek
{"title":"S-PRAC: Fast Partial Packet Recovery with Network Coding in Very Noisy Wireless Channels","authors":"K. D. Irianto, Juan A. Cabrera, Giang T. Nguyen, H. Salah, F. Fitzek","doi":"10.1109/WD.2019.8734223","DOIUrl":"https://doi.org/10.1109/WD.2019.8734223","url":null,"abstract":"Well-known error detection and correction solutions in wireless communications are slow or incur high transmission overhead. Recently, notable solutions like PRAC and DAPRAC, implementing partial packet recovery with network coding, could address these problems. However, they perform slowly when there are many errors. We propose S-PRAC, a fast scheme for partial packet recovery, particularly designed for very noisy wireless channels. S-PRAC improves on DAPRAC. It divides each packet into segments consisting of a fixed number of small RLNC-encoded symbols, and then attaches a CRC code to each segment and one to each coded packet. Extensive simulations show that S-PRAC can detect and correct errors quickly. It also outperforms DAPRAC significantly when the number of errors is high.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102746","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}
{"title":"Modelling Road Congestion Using a Fuzzy System and Real-World Data for Connected and Autonomous Vehicles","authors":"Luke Abberley, Keeley A. Crockett, Jianquan Cheng","doi":"10.1109/WD.2019.8734238","DOIUrl":"https://doi.org/10.1109/WD.2019.8734238","url":null,"abstract":"Road congestion is estimated to cost the United Kingdom £307 billion by 2030. Furthermore, congestion contributes enormously to damaging the environment and people’s health. In an attempt to combat the damage congestion is causing, new technologies are being developed, such as intelligent infrastructures and smart vehicles. The aim of this study is to develop a fuzzy system that can classify congestion using a real-world dataset referred to as Manchester Urban Congestion Dataset, which contains data similar to that collected by connected and autonomous vehicles. A set of fuzzy membership functions and rules were developed using a road congestion ontology and in conjunction with domain experts. Experiments are conducted to evaluate the fuzzy system in terms of its precision and recall in classifying congestion. Comparisons are made in terms of performance with traditional classification algorithms decision trees and Naïve Bayes using the Red, Amber, and Green classification methods currently implemented by Transport for Greater Manchester to label the dataset. The results have shown the fuzzy system has the ability to predict road congestion using volume and journey time, outperforming both decision trees and Naïve Bayes.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117303345","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}
{"title":"The TMB path loss model for 5 GHz indoor WiFi scenarios: On the empirical relationship between RSSI, MCS, and spatial streams","authors":"Toni Adame, Marc Carrascosa, B. Bellalta","doi":"10.1109/WD.2019.8734243","DOIUrl":"https://doi.org/10.1109/WD.2019.8734243","url":null,"abstract":"The WiFi landscape is rapidly changing over the last years, responding to the new needs of wireless communications. IEEE 802.11ax is the next fast-approaching standard, addressing some of todays biggest performance challenges specifically for high-density public environments. It is designed to operate at 2.4 GHz and 5 GHz bands, the latter being rapidly adopted worldwide after its inclusion in IEEE 802.11ac, and with expected growing demand in the next 10 years.This paper assesses empirically the suitability of the available IEEE 802.11ax path loss models at 5 GHz on some real testbeds and proposes a new model with higher abstraction level; i.e., without requiring from a previous in situ analysis of each considered receiver’s location. The proposed TMB path loss model, used in combination with generated data sets, is able to obtain an estimation of RSSI, selected modulation and coding scheme (MCS), and number of spatial streams in function of the AP configuration and the AP-STA distance. We aim to use the model to compare IEEE 802.11ac/ax performance simulation results with experimental ones.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134106298","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}
Sergio Barrachina-Muñoz, F. Wilhelmi, Ioannis Selinis, B. Bellalta
{"title":"Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs","authors":"Sergio Barrachina-Muñoz, F. Wilhelmi, Ioannis Selinis, B. Bellalta","doi":"10.1109/WD.2019.8734225","DOIUrl":"https://doi.org/10.1109/WD.2019.8734225","url":null,"abstract":"Komondor is a wireless network simulator for next-generation wireless local area networks (WLANs). The simulator has been conceived as an accessible (ready-to-use) open source tool for research on wireless networks and academia. An important advantage of Komondor over other well-known wireless simulators lies in its high event processing rate, which is furnished by the simplification of the core operation. This allows outperforming the execution time of other simulators like ns-3, thus supporting large-scale scenarios with a huge number of nodes. In this paper, we provide insights into the Komondor simulator and overview its main features, development stages and use cases. The operation of Komondor is validated in a variety of scenarios against different tools: the ns-3 simulator and two analytical tools based on Continuous Time Markov Networks (CTMNs) and the Bianchi’s DCF model. Results show that Komondor captures the IEEE 802.11 operation very similarly to ns-3. Finally, we discuss the potential of Komondor for simulating complex environments – even with machine learning support – in next-generation WLANs by easily developing new user-defined modules of code.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115747329","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}