Malo Manini, C. Gueguen, R. Legouable, X. Lagrange
{"title":"Study of MIMO Channel Matrices Correlation to Optimize Resource Allocation Algorithms in Multi-Users 5G","authors":"Malo Manini, C. Gueguen, R. Legouable, X. Lagrange","doi":"10.23919/WMNC.2019.8881567","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881567","url":null,"abstract":"Resource allocation is a major research field in wireless networks. The main challenge is to find the most suitable user for each time and frequency resource to reach the quality of service requirements. The necessity to always increase the capacity of wireless networks leads to systems using more and more antennas. Namely, the use of Massive-MIMO (Multiple Input Multiple Output) allows to simultaneously schedule several users on the same frequency resource. This is a new paradigm for resource scheduling. In this context, resource allocation algorithms have to include in their decision mechanism the choice of users association on the same time and frequency resource. A possible strategy, seen in the state of the art, is to base this user grouping on their channel-matrix correlation to minimize the interference level. In this paper we show the limited use of this approach in a system using block diagonal precoder.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115212766","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}
Luciana Pereira Oliveira, Miguel R. B. Cabral, E. L. V. Almeida, Michael A. F. Monteiro, C. P. Sousa, Larissa C. P. S. Lima
{"title":"A Case Study for Sustainable Network - Challenges to Automate Energy Reduction by Predefined Rules","authors":"Luciana Pereira Oliveira, Miguel R. B. Cabral, E. L. V. Almeida, Michael A. F. Monteiro, C. P. Sousa, Larissa C. P. S. Lima","doi":"10.23919/WMNC.2019.8881820","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881820","url":null,"abstract":"In general, academic institutions try to enforce strict rules to reduce energy consumption. For example, it is easy to set up automatic machine shutdown at certain times. However, this case study demonstrates that predefined rules can provide unsatisfactory results for sustainable environments. The main stages of the methodology are the time extraction in which the machines were switched on and off and the analysis concerning the times when they should be off. Samples of computer log files were analyzed from May 17 to 25, 2017 and an estimated waste of 231.35 kWh was identified with machines that should be off in accordance with strict rules in one of the laboratories of an education institution. It has been identified that a smart framework (ProNet) can help generate new rules to reduce energy consumption, meeting new requirements that were not previously met by predefined rules.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115092434","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}
Andrea Pimpinella, A. Redondi, Iacopo Galimberti, Francesco Foglia, Luisa Venturini
{"title":"Towards Long-Term Coverage and Video Users Satisfaction Prediction in Cellular Networks","authors":"Andrea Pimpinella, A. Redondi, Iacopo Galimberti, Francesco Foglia, Luisa Venturini","doi":"10.23919/WMNC.2019.8881721","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881721","url":null,"abstract":"Network operators are interested in continuously monitoring the satisfaction of their customers to minimise the churn rate: however, collecting user feedbacks through surveys is a cumbersome task. In this work we explore the possibility of predicting the long-term user satisfaction relative to network coverage and video streaming starting from user-side network measurements only. We leverage country-wide datasets to engineer features which are then used to train several machine learning models. The obtained results suggest that, although some correlation is visible and could be exploited by the classifiers, long-term user satisfaction prediction from network measurements is a very challenging task: we therefore point out possible action points to be implemented to improve the prediction results.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122642817","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}
C. Bouras, Anastasia Kollia, Eleftheria Maligianni
{"title":"The techno-economic models for CR and SDN in 5G","authors":"C. Bouras, Anastasia Kollia, Eleftheria Maligianni","doi":"10.23919/WMNC.2019.8881823","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881823","url":null,"abstract":"5G is closer than ever, considering that in 2020 it will have been released. Existing technologies do not adequately cover the 5G demands, therefore new or modified versions of the existing technologies should be introduced. Telecommunication operators remain skeptical about the costs induced by 5G technologies. In this context, it is fundamental that 5G enabling technologies are analyzed in a techno-economic way. In this paper, authors present models of Cognitive Radio (CR) and Software Defined Networking (SDN). They develop economic models based on the Stackelberg competition, opt for the experimentation parameters and conduct Sensitivity Analysis (SA) experiments that show which are the most influential factors for each technology proposing ways to limit them.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127037432","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}
Illyyne Saffar, Marie-Line Alberi-Morel, Mohanned Amara, K. Singh, C. Viho
{"title":"Mobile User Environment Detection using Deep Learning based Multi-Output Classification","authors":"Illyyne Saffar, Marie-Line Alberi-Morel, Mohanned Amara, K. Singh, C. Viho","doi":"10.23919/WMNC.2019.8881474","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881474","url":null,"abstract":"Future mobile networks can hugely benefit from cognition of mobile user behavior. Indeed, knowing what/when/where/how the user consumes their mobile services can notably improve the self-adaptation and self-optimization capabilities of these networks and, in turn, ensure user satisfaction. The cognition of mobile user behavior will thus help 5G networks to face the variable consuming habits of users which in turn impact the network conditions, by predicting them in advance. In this paper, we focus on the \"where\" part, i.e., the detection of the environment where a given user consumes different mobile applications. A statistical study on the real activity of users reveals that there are multiple various environment types corresponding to the mobile phone usage. A Deep Learning based model is introduced to intelligently detect the user environment, using supervised and semi-supervised multi-output classification. Relevant multi-class schemes are proposed to efficiently regroup the multiple environment categories in more than two classes. We empirically evaluate the effectiveness of the proposed model using new real-time radio data, gathered massively from multiple typical and diversified environments of mobile users.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132685177","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":"SaFe: A Blockchain and Secure Element Based Framework for Safeguarding Smart Vehicles","authors":"Varun Deshpande, L. George, H. Badis","doi":"10.23919/WMNC.2019.8881408","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881408","url":null,"abstract":"In the context of Intelligent Transportation System (ITS), smart vehicles have become increasingly complex. Electronic Control Units (ECU) within smart vehicles are now capable of performing intricate operations which ensures reliable functioning of the smart vehicle even in emergency situations. However, these ECU(s) lack a trusted execution/storage environment (TEE/TSE). This makes it vulnerable to many security issues. In this paper, we propose a Blockchain and Secure Element(SE) based framework for smart vehicles called SaFe in which ECU(s) use SE for TEE and TSE. We justify the use of blockchain by showing how it securely facilitates application management on SE when ECU needs are changed. Leveraging on SaFe, we introduce the concept of non-repudiable responsibility. We present our realized framework and testbed based on NXP IMX6Q, Multos M5-P19, MultiChain. Finally, we show through our experimental results that how SaFe improves the performance of safety-critical operations within ECU by as much as 85%, all this while guaranteeing increased security, tamperproofness, immutability and reduced memory, storage, processing overhead.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004401","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}
Jinhyuk Yim, Jaejeong Bang, Youngju Nam, Yongje Shin, Euisin Lee
{"title":"Efficient Multipath Routing Protocol Against Path Failures in Wireless Sensor Networks","authors":"Jinhyuk Yim, Jaejeong Bang, Youngju Nam, Yongje Shin, Euisin Lee","doi":"10.23919/WMNC.2019.8881435","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881435","url":null,"abstract":"In wireless sensor networks, emergency applications such as fire alert or intruder detection are mostly needed to accomplish reliable and real-time data delivery on a path from a source to a sink. However, WSNs might have frequent path failures due to node or link failures. Thus, addressing these path failures effectively is one of very important issues. Especially, the multipath routing approach of using both the primary path and the alternative path is considered as an attractive technique to deal with path failures. However, the approach still has two issues to be addressed for enhancing network performances. The first issue is that the approach has no handling scheme for packets on the failed primary path, which reduces reliability of data packet delivery, The second issue is that the approach globally constructs a new alternative path made instead of the failure primary path from a source to a sink, which consume high energy of sensor nodes. Thus, this paper proposes a new multipath routing protocol based on a virtual line to efficiently address these two issues. Our protocol can enhance delivery reliability and reduce energy consumption by using a multipath routing structure based on a virtual line. Simulation results verified that the proposed protocol is superior to the existing protocols.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131325502","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}
Sungjin Park, Seungmin Oh, Youngju Nam, Jaejeong Bang, Euisin Lee
{"title":"Mobility-aware Distributed Proactive Caching in Content-Centric Vehicular Networks","authors":"Sungjin Park, Seungmin Oh, Youngju Nam, Jaejeong Bang, Euisin Lee","doi":"10.23919/WMNC.2019.8881585","DOIUrl":"https://doi.org/10.23919/WMNC.2019.8881585","url":null,"abstract":"In-network proactive caching has been considered as an attractive approach for content-centric vehicular networks (CCVNs). The existing proactive caching strategies cache all data to selected roadside units (RSUs) for coming vehicles in order to reduce the delay for data requesting from the vehicles to the data server. In the vehicular networks, due to the high cost of deploying RSUs and their limited storage capacity, they could support only the limited number of vehicles and the limited amount of contents and decrease the hit ratio. To solve the problem, we propose a proactive caching strategy for RSUs to distribute data according to the movement of the vehicles. With the movement pattern, as multiple RSUs partially cache chunk-level distributed data, the proposed strategy could provide the data service to multiple vehicles. Simulation results show that the proposed scheme is superior to the existing schemes in terms of caching hit ratio and delay.","PeriodicalId":197152,"journal":{"name":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133335047","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}