Rodrigo Cortesão, Daniel F. S. Fernandes, Diogo J. A. Clemente, G. Soares, P. Sebastião, L. Ferreira
{"title":"Cloud-based Implementation of a SON Automatic Planning System: a proof-of-concept for UMTS","authors":"Rodrigo Cortesão, Daniel F. S. Fernandes, Diogo J. A. Clemente, G. Soares, P. Sebastião, L. Ferreira","doi":"10.1109/WPMC48795.2019.9096060","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096060","url":null,"abstract":"In mobile network deployments of growing size, the optimum and fast planning of radio resources are a key task. Cloud services enable efficient and scalable implementation of procedures and algorithms. In this paper, a proof of concept implementation of a cloud-based network planning work pattern using Amazon Web Services is presented. It extracts configuration and performance data from the network, enabling to accurately estimate cells coverage, identify neighbouring cells and optimally plan Scrambling Codes (SC) in an UMTS network. It was integrated in a SaaS monitoring and planning tool. The system operation is demonstrated for a small canonical scenario. For a realistic scenario with 12 484 unplanned cells, the planning of SCs is efficiently achieved, taking less than 8 seconds, and guaranteeing no collisions between first order neighbouring cells.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132019875","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}
Yuya Kase, T. Nishimura, T. Ohgane, Y. Ogawa, Daisuke Kitayama, Y. Kishiyama
{"title":"Performance Analysis of DOA Estimation of Two Targets Using Deep Learning","authors":"Yuya Kase, T. Nishimura, T. Ohgane, Y. Ogawa, Daisuke Kitayama, Y. Kishiyama","doi":"10.1109/WPMC48795.2019.9096165","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096165","url":null,"abstract":"Direction of arrival (DOA) estimation of wireless signals is demanded in many situations. In addition to classical methods such as MUSIC and ESPRIT, non-linear algorithms such as compressed sensing has been very common recently. Deep learning or machine learning is also known as a non-linear algorithm and now applied to various fields. Generally, DOA estimation using deep learning is classified as on-grid estimation. Thus, the accuracy may be degraded when the DOA is on the boundary. In this paper, the performance of DOA estimation using deep learning is compared with one of MUSIC which is off grid estimation. The simulation results show that deep learning based estimation performs less well than MUSIC due to the grid boundary problem. When the allowable estimation error is relaxed, however, it is found that the success rate of DOA estimation surpass one of MUSIC.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131440104","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}
A. Dragulinescu, A. Dragulinescu, Ciprian Zamfirescu, S. Halunga, G. Suciu
{"title":"Smart Neighbourhood: LoRa-based environmental monitoring and emergency management collaborative IoT platform","authors":"A. Dragulinescu, A. Dragulinescu, Ciprian Zamfirescu, S. Halunga, G. Suciu","doi":"10.1109/WPMC48795.2019.9096192","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096192","url":null,"abstract":"There are emergency situations which affect a smaller number of households (fires, gas leakages, floods) but which are prone to extend and damage furthermore adjacent areas (neighbourhoods, large buildings) and increase the life and material losses. An efficient solution proposed in this paper comprises a collaborative IoT platform that monitors each neighbourhood and alerts the inhabitants and the response teams when a danger occurs either in their households or in other neighbouring buildings. In order to cover a large area and to reduce the costs related to energy consumption, the solution described uses LoRa technology for monitoring and WiFi communication only for alerting purposes. In this paper, a testbed was also proposed and fire scenarios were investigated.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125711578","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}
Hikaru Kawasaki, T. Matsumura, K. Ishizu, F. Kojima
{"title":"Low-complexity Orthogonal N-continuous Precoding for Sidelobe Suppression of OFDM Signals","authors":"Hikaru Kawasaki, T. Matsumura, K. Ishizu, F. Kojima","doi":"10.1109/WPMC48795.2019.9096194","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096194","url":null,"abstract":"In this paper, we propose a novel orthogonal precoding based on an efficient decomposed precoder on the real-domain for a successive N-continuous scheme to suppress sidelobes in OFDM systems. Novel theoretical analyses justify its performance, which parallel to that of related precoding schemes. In conclusion, the proposed scheme remarkably reduces the conventional precoding’s complexity to a level matching that of FFT for OFDM use through its application of 2.8 % storage overhead while keeping all its inherent advantages such as fast decay of band-edges, and ideal error rate.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121274288","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":"Non-Pilot-Aided Phase Estimator for 2-Source BPSK NOMA Channel with Closed-Form Solver","authors":"J. Sýkora","doi":"10.1109/WPMC48795.2019.9096099","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096099","url":null,"abstract":"In this paper, we focus on developing the non-pilot-aided phase CSE (Channel State Estimator) for 2-source BPSK generic NOMA (Non-Orthogonal Multiple Access) scenario. Apart of the exact CSE form, we develop also the low-SNR approximation which allows us to find a closed-form ML (Maximum Likelihood) solver. Both, exact and low-SNR (Signal to Noise Ratio) forms will be analyzed in terms of their fundamental mean-square error performance limits. We will use classical and mismatched model Cramer-Rao Lower Bound (CRLB) analysis. The numerical analysis shows that the mismatched low-SNR model CRLB nicely pairs the true estimator performance for low and medium SNRs.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121317882","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 Purposed Combinational Learning Framework for An Effective and Creative Multi-Business Model and Innovation","authors":"Manissaward Jintapitak, Chayapol Kamyod","doi":"10.1109/WPMC48795.2019.9096184","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096184","url":null,"abstract":"LEGO® SERIOUS PLAY® (LSP) is generally used as a process to create and develop new ideas and innovations in business and organizations which is praised by world-ranked organizations as an effective process to increase creativity and problem-solving ideas. However, not many facilitators have proper business experience to counsel and lead LSP activity for the business group, which limits them in facilitating the clients with an elaborate idea for a business. On the other hand, the new seven dimensions of the Business Model Eco System (BMES) consist of business dimensions and models which can be effectively used to discuss and analyses the whole business model environment. The combination features of both techniques would benefit both business and creativity parts. This paper purposed the combination of LEGO® and BMES framework to combine the advantages of a multi-business learning model and creativity for various businesses.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"29 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122148707","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}
Stefanos Astaras, S. Efremidis, Angela-Maria Despotopoulou, J. Soldatos, Nikos Kefalakis
{"title":"Deep Learning Analytics for IoT Security over a Configurable BigData Platform : Data-Driven IoT Systems","authors":"Stefanos Astaras, S. Efremidis, Angela-Maria Despotopoulou, J. Soldatos, Nikos Kefalakis","doi":"10.1109/WPMC48795.2019.9096076","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096076","url":null,"abstract":"In response to contemporary security challenges for Internet of Things systems, this paper introduces an architectural framework for data driven security monitoring and automation. The architecture supports advanced data analytics for detecting anomalies at all layers of an IoT system, based on a powerful mechanism of reusable security templates. Also, the paper provides a concrete example of data-driven IoT security for smart objects, based on the use of deep learning algorithms and their implementation over the introduced architecture framework. The algorithms are successfully deployed and used for effective and predictive detection of anomalies and abnormalities at the network and application layers of the respective IoT systems. They manifest how deep learning and AI techniques can be used for efficient security in conjunction with the introduced framework.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123757465","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}
Alexandru Vulpe, A. Paikan, R. Craciunescu, Pouyan Ziafati, S. Kyriazakos, Adrien Hemmer, Rémi Badonnel
{"title":"IoT Security Approaches in Social Robots for Ambient Assisted Living Scenarios","authors":"Alexandru Vulpe, A. Paikan, R. Craciunescu, Pouyan Ziafati, S. Kyriazakos, Adrien Hemmer, Rémi Badonnel","doi":"10.1109/WPMC48795.2019.9096127","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096127","url":null,"abstract":"Nowadays, the complexity, heterogeneity and dynamic behaviour of emerging IoT deployments poses tremendous security challenges. The main limitations include limited end-to-end security support, lack of cross-platform cross-vertical security interoperability and inability to deal with very volatile and dynamic smart object environments. Overall these require more dynamic, scalable, decentralized and intelligent IoT security mechanisms which are addressed by the SecureIoT project. This paper presents the development of a SecureIoT-enabled socially assisted robots (SAR) usage scenario, also called Ambient Assisted Living Scenario (AAL). The aim of the SAR usage scenario is to integrate and validate the SecureIoT services in the scope of personalized healthcare and ambient assistive living scenarios, involving the secure integration of QTrobot (QT) of LuxAI and the CloudCare2U platform (CC2U) of iSPRINT. This includes risk assessment of communications security, predictive analysis of security risks, implementing access control policies to enhance the security of solution, and auditing of the solution against security, safety and privacy guidelines and regulations.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124436990","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":"Joint Relay Selection and Resource Allocation for Relay-Assisted D2D Underlay Communications","authors":"Miaomiao Liu, Li Zhang, Prabhat Raj Gautam","doi":"10.1109/WPMC48795.2019.9096172","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096172","url":null,"abstract":"Relay-assisted D2D (Device-to-device) communication as a supplement to direct D2D communications for enhancing LTE-A system capacity has been proposed. In this paper, a joint mode selection, relay selection and resource allocation optimization in relay-assisted D2D communications is addressed. We aim at maximizing the overall system throughput while guaranteeing the power limitations and signal-to-noise-and-interference ratios (SINR) requirements of all cellular and active D2D links. After decomposing the original design problem into two sub-problems: 1) Optimal Power Allocation (OPA); 2) Joint Mode selection, Relay selection and Channel allocation (JMRC), we then propose the corresponding algorithms to solve them sequentially. Simulation results show that our proposed scheme significantly outperforms the existing schemes.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126891921","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}
Daniel F. S. Fernandes, G. Soares, Diogo J. A. Clemente, Rodrigo Cortesão, P. Sebastião, F. Cercas, R. Dinis, L. Ferreira
{"title":"Integration of a Cloud-Based Realistic and Automatic Coverage Estimation Methodology in Metric SaaS","authors":"Daniel F. S. Fernandes, G. Soares, Diogo J. A. Clemente, Rodrigo Cortesão, P. Sebastião, F. Cercas, R. Dinis, L. Ferreira","doi":"10.1109/WPMC48795.2019.9096207","DOIUrl":"https://doi.org/10.1109/WPMC48795.2019.9096207","url":null,"abstract":"The quality of service offered to customers is a concern of telecommunications providers. With this concern, the providers keep a constant monitorization on their networks so that they can immediately fix any network problems. This paper presents the cloud implementation of a propagation model calibrated with real data that allows telecommunications providers to properly plan and optimize the network. This implementation is to be added into a Self-Organizing Network tool called Metric.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128562534","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}