Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514945
Mohamed A. Elshatshat, Stefanos Papadakis, Vangelis Angelakis
Heterogeneous networks (HetNets) that consist of macro base stations (MBSs) and small base stations (SBSs) are a key architectural drive for achieving the high spectral efficiency (SE) in 5G and beyond. Moreover, device-to-device (D2D) communications underlaying mobile networks can provide reliable communications and add SE gains. A major challenge in HetNets is the inter-cell interference (ICI) due to the coexistence of multiple tiers of base stations (BSs). To tackle this challenge, the enhanced inter-cell interference coordination (eICIC) scheme was adopted by 3GPP. In eICIC the MBSs mute their transmission during the so-called “almost blank subframes” (ABS). This muting strategy causes resources reduction to the MBS users (MUEs). We propose the use of D2D communications to forward the transmission from the SBS to the MUEs during ABS subframes, by using inactive UEs to relay the downlink transmission, when the destination UEs are outside the coverage of the BS. We use a heuristic resource allocation (RA) algorithm based on the traffic load at the SBSs that integrates eICIC with D2D communications to avoid the service degradation during the time-domain muting. Simulation results of a HetNet with D2D-eICIC show that the SE of our approach outperforms other interference management approaches.
{"title":"Improving the Spectral Efficiency in Dense Heterogeneous Networks Using D2D-Assisted eICIC","authors":"Mohamed A. Elshatshat, Stefanos Papadakis, Vangelis Angelakis","doi":"10.1109/CAMAD.2018.8514945","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514945","url":null,"abstract":"Heterogeneous networks (HetNets) that consist of macro base stations (MBSs) and small base stations (SBSs) are a key architectural drive for achieving the high spectral efficiency (SE) in 5G and beyond. Moreover, device-to-device (D2D) communications underlaying mobile networks can provide reliable communications and add SE gains. A major challenge in HetNets is the inter-cell interference (ICI) due to the coexistence of multiple tiers of base stations (BSs). To tackle this challenge, the enhanced inter-cell interference coordination (eICIC) scheme was adopted by 3GPP. In eICIC the MBSs mute their transmission during the so-called “almost blank subframes” (ABS). This muting strategy causes resources reduction to the MBS users (MUEs). We propose the use of D2D communications to forward the transmission from the SBS to the MUEs during ABS subframes, by using inactive UEs to relay the downlink transmission, when the destination UEs are outside the coverage of the BS. We use a heuristic resource allocation (RA) algorithm based on the traffic load at the SBSs that integrates eICIC with D2D communications to avoid the service degradation during the time-domain muting. Simulation results of a HetNet with D2D-eICIC show that the SE of our approach outperforms other interference management approaches.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"321 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115225221","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514938
Alexander Scheffler, Markus Fogen, Steffen Bondorf
The cost of delay analysis increases fast with size and complexity of a network. Therefore, many recent research efforts in Deterministic Network Calculus (DNC) focused on the tradeoff between accuracy and cost of its delay-bounding analyses. In this paper, we present insights on reliable, reproducible and performance on both branches of DNC, algebraic analysis and optimization, as well as the tools employed by them. We reveal circumstances causing problems for reliability and reproducibility of DNC's optimization analysis and we investigate the potential to improve computational performance of algebraic DNC. To that end, we present theoretical background on the topic of parallelizing the DNC analyses and an implementation in the open-source DiscoDNC tool. With our proposed approach, we achieve a speedup of analysis times of one order of magnitude.
{"title":"The Deterministic Network Calculus Analysis: Reliability Insights and Performance Improvements","authors":"Alexander Scheffler, Markus Fogen, Steffen Bondorf","doi":"10.1109/CAMAD.2018.8514938","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514938","url":null,"abstract":"The cost of delay analysis increases fast with size and complexity of a network. Therefore, many recent research efforts in Deterministic Network Calculus (DNC) focused on the tradeoff between accuracy and cost of its delay-bounding analyses. In this paper, we present insights on reliable, reproducible and performance on both branches of DNC, algebraic analysis and optimization, as well as the tools employed by them. We reveal circumstances causing problems for reliability and reproducibility of DNC's optimization analysis and we investigate the potential to improve computational performance of algebraic DNC. To that end, we present theoretical background on the topic of parallelizing the DNC analyses and an implementation in the open-source DiscoDNC tool. With our proposed approach, we achieve a speedup of analysis times of one order of magnitude.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123546083","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514999
P. Bellavista, L. Foschini, Domenico Scotece, Kyriaki Karypidou, P. Chatzimisios
A lot of research is being carried out about Internet of Things (IoT) and in the following years it will emerge more and more in our lives. Furthermore, with the advent of future fully-integrated 5G networks, new constraints need to be satisfied such as ultra-reliability and low-latency. With the help of Fog computing and the Multi-access Edge Computing (MEC) framework, services can be offered to the end users in a fast and practical way. Our work presents DRIVE a framework for service discovery in a 5G environment. However, in order to guarantee dynamic distribution and best management of services, we plan to deploy those services as container (e.g. Docker container). Moreover, we propose distribution of edge services at three different layer of communication: Application, Service, and Communication Layer. Given the above considerations, we propose an edge node, placed at the edge of network, that acts as the "brain" and take over the computation. The main innovative elements of the proposed framework, compared to the existing literature, include the possibility to select the working layer, the dynamic reconfiguration of the edge node and the field experimental results about the performance achieved by our solution over rapidly deployable environments with resourcelimited edge nodes such as Raspberry Pi devices.
{"title":"DRIVE: Discovery seRvice for fully-Integrated 5G enVironmEnt in the IoT","authors":"P. Bellavista, L. Foschini, Domenico Scotece, Kyriaki Karypidou, P. Chatzimisios","doi":"10.1109/CAMAD.2018.8514999","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514999","url":null,"abstract":"A lot of research is being carried out about Internet of Things (IoT) and in the following years it will emerge more and more in our lives. Furthermore, with the advent of future fully-integrated 5G networks, new constraints need to be satisfied such as ultra-reliability and low-latency. With the help of Fog computing and the Multi-access Edge Computing (MEC) framework, services can be offered to the end users in a fast and practical way. Our work presents DRIVE a framework for service discovery in a 5G environment. However, in order to guarantee dynamic distribution and best management of services, we plan to deploy those services as container (e.g. Docker container). Moreover, we propose distribution of edge services at three different layer of communication: Application, Service, and Communication Layer. Given the above considerations, we propose an edge node, placed at the edge of network, that acts as the \"brain\" and take over the computation. The main innovative elements of the proposed framework, compared to the existing literature, include the possibility to select the working layer, the dynamic reconfiguration of the edge node and the field experimental results about the performance achieved by our solution over rapidly deployable environments with resourcelimited edge nodes such as Raspberry Pi devices.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126446017","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514988
Lizheng Liu, Bo Zhou, Z. Zou, S. Yeh, Lirong Zheng
Unstaffed retail shop has been emerging in the past years and significantly affected conventional shopping styles. In this area, unmanned retail container plays an important role, it can greatly influence the user shopping experience, the traditional way based on weighing sensors cannot sense what the customer is taking. This paper proposes a smart unstaffed retail shop scheme based on artificial intelligence (AI) and the internet ofthings (IoT), aiming at exploring the feasibility of implementing the unstaffed retail shopping style. Based on the data set of 11, 000 images in different scenarios that containing 10 different types of stock keeping unit (SKU), an end-to-end classification model trained by the MASK-RCNN method is developed for SKU counting and recognition, and the proposed solution in this study is able to achieve 97.7% counting accuracy and 98.7% recognition accuracy on the test dataset, which indicates that the system can make up for the deficiency of traditional unmanned container.
{"title":"A Smart Unstaffed Retail Shop Based on Artificial Intelligence and IoT","authors":"Lizheng Liu, Bo Zhou, Z. Zou, S. Yeh, Lirong Zheng","doi":"10.1109/CAMAD.2018.8514988","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514988","url":null,"abstract":"Unstaffed retail shop has been emerging in the past years and significantly affected conventional shopping styles. In this area, unmanned retail container plays an important role, it can greatly influence the user shopping experience, the traditional way based on weighing sensors cannot sense what the customer is taking. This paper proposes a smart unstaffed retail shop scheme based on artificial intelligence (AI) and the internet ofthings (IoT), aiming at exploring the feasibility of implementing the unstaffed retail shopping style. Based on the data set of 11, 000 images in different scenarios that containing 10 different types of stock keeping unit (SKU), an end-to-end classification model trained by the MASK-RCNN method is developed for SKU counting and recognition, and the proposed solution in this study is able to achieve 97.7% counting accuracy and 98.7% recognition accuracy on the test dataset, which indicates that the system can make up for the deficiency of traditional unmanned container.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130137149","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514965
Celia García-Corrales, F. J. Martín-Vega, F. J. López-Martínez, F. Cañete, J. F. Paris
In this paper we investigate the impact of line-of-sight Los condition in the ergodic spectral efficiency of cellular networks. To achieve this goal, we have considered the κ-μ shadowed model, which is a general model that provides an excellent fit to a wide set of propagation conditions. To overcome the mathematical complexity of the analysis, we have split the analysis between large and small-scale effects. Building on the proposed framework, we study a number of scenarios that range from heavily-fluctuating LoS to deterministic-LoS. Finally, we shed light on the interplay between fading severity and spectral efficiency by means of the amount of fading.
{"title":"Understanding the Impact of Line-of-Sight in the Ergodic Spectral Efficiency of Cellular Networks","authors":"Celia García-Corrales, F. J. Martín-Vega, F. J. López-Martínez, F. Cañete, J. F. Paris","doi":"10.1109/CAMAD.2018.8514965","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514965","url":null,"abstract":"In this paper we investigate the impact of line-of-sight Los condition in the ergodic spectral efficiency of cellular networks. To achieve this goal, we have considered the κ-μ shadowed model, which is a general model that provides an excellent fit to a wide set of propagation conditions. To overcome the mathematical complexity of the analysis, we have split the analysis between large and small-scale effects. Building on the proposed framework, we study a number of scenarios that range from heavily-fluctuating LoS to deterministic-LoS. Finally, we shed light on the interplay between fading severity and spectral efficiency by means of the amount of fading.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131603027","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514991
I. Mesogiti, H. Theodoropoulou, K. Filis, G. Lyberopoulos, Athina Ropodi, K. Tsagkaris, P. Demestichas, N. Pleros, G. Kalfas, C. Vagionas
5G-PHOS R &D project aims at architecting and evaluating 5G broadband networks for dense, ultra-dense and hotspot area use cases by capitalizing on existing wireless and optical technologies, while migrating from CPRI -based towards integrated Fiber-Wireless (FiWi) fronthaul/backhaul supporting mmWave mMIMO communications. This paper provides a revolutionary approach for the definition of the 5G-PHOS use cases by developing realistic usage/traffic scenarios for a real geographical area with known characteristics, taking into account specific 5G services mix. In addition, the paper presents network solutions to support the 5G-PHOS use cases.
{"title":"Fiber-Wireless Fronthaul/Backhaul Network Architectures for 5G","authors":"I. Mesogiti, H. Theodoropoulou, K. Filis, G. Lyberopoulos, Athina Ropodi, K. Tsagkaris, P. Demestichas, N. Pleros, G. Kalfas, C. Vagionas","doi":"10.1109/CAMAD.2018.8514991","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514991","url":null,"abstract":"5G-PHOS R &D project aims at architecting and evaluating 5G broadband networks for dense, ultra-dense and hotspot area use cases by capitalizing on existing wireless and optical technologies, while migrating from CPRI -based towards integrated Fiber-Wireless (FiWi) fronthaul/backhaul supporting mmWave mMIMO communications. This paper provides a revolutionary approach for the definition of the 5G-PHOS use cases by developing realistic usage/traffic scenarios for a real geographical area with known characteristics, taking into account specific 5G services mix. In addition, the paper presents network solutions to support the 5G-PHOS use cases.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122887762","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514935
Y. Nikoloudakis, E. Markakis, G. Alexiou, Stavroula Bourazani, G. Mastorakis, E. Pallis, I. Politis, C. Skianis, C. Mavromoustakis
Peer to Peer (P2P) systems, have been identified as one of the main contributors to the exponential growth of internet traffic. File sharing applications such as BitTorrent clients, are the most popular among P2P systems and tend to consume great amounts of network resources, stretching infrastructure capabilities to their limits. This causes interdomain links to be overloaded with traffic, created from content traversing the network, which is most of the times redundant. Cloud computing has been an empowering force towards alleviating this issue and many research approaches have been proposed. With cloud orchestration frameworks and Software Defined Networks (SDN) as our empowering technologies, we propose a cross-layered edge-caching mechanism to alleviate content and service providers of link-saturation problems, caused by identical content requested and downloaded by multiple users in the same network vicinity. The proposed mechanism identifies and classifies P2P data-in-transit, caches it locally and successively acts as a peer by sharing it with all other requesting users. This way, redundant traffic in the backhaul link is minimized, since requests for content cached by the mechanism, will be served by the target edge-node and not from the content provider. To validate the performance and overall efficacy of the proposed mechanism, simulation experiments were conducted under a controlled-conditions environment. Results indicated that the proposed mechanism can reduce redundant network traffic up to 22%.
{"title":"Edge Caching Architecture for Media Delivery over P2P Networks","authors":"Y. Nikoloudakis, E. Markakis, G. Alexiou, Stavroula Bourazani, G. Mastorakis, E. Pallis, I. Politis, C. Skianis, C. Mavromoustakis","doi":"10.1109/CAMAD.2018.8514935","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514935","url":null,"abstract":"Peer to Peer (P2P) systems, have been identified as one of the main contributors to the exponential growth of internet traffic. File sharing applications such as BitTorrent clients, are the most popular among P2P systems and tend to consume great amounts of network resources, stretching infrastructure capabilities to their limits. This causes interdomain links to be overloaded with traffic, created from content traversing the network, which is most of the times redundant. Cloud computing has been an empowering force towards alleviating this issue and many research approaches have been proposed. With cloud orchestration frameworks and Software Defined Networks (SDN) as our empowering technologies, we propose a cross-layered edge-caching mechanism to alleviate content and service providers of link-saturation problems, caused by identical content requested and downloaded by multiple users in the same network vicinity. The proposed mechanism identifies and classifies P2P data-in-transit, caches it locally and successively acts as a peer by sharing it with all other requesting users. This way, redundant traffic in the backhaul link is minimized, since requests for content cached by the mechanism, will be served by the target edge-node and not from the content provider. To validate the performance and overall efficacy of the proposed mechanism, simulation experiments were conducted under a controlled-conditions environment. Results indicated that the proposed mechanism can reduce redundant network traffic up to 22%.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115555138","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}
Pub Date : 2018-09-01DOI: 10.1109/camad.2018.8514949
Umberto Fattore, F. Giust, M. Liebsch
{"title":"5GC +: an Experimental Proof of a Programmable Mobile Core for 5G","authors":"Umberto Fattore, F. Giust, M. Liebsch","doi":"10.1109/camad.2018.8514949","DOIUrl":"https://doi.org/10.1109/camad.2018.8514949","url":null,"abstract":"","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115666793","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514947
A. Díaz, A. Cattoni, C. Cárdenas, Oscar Castañeda, J. Polglase, P. Merino, M. Dieudonne
The mobile Apps market is flourishing and will become an important part of the 5G business model. Ensuring the proper functioning of 5G Apps and services is then paramount and a homogenous testing and certification scheme can help achieve it. Building on the experience on 4G and App testing methodologies, the TRIANGLE project is pursuing the creation of such a 5G certification scheme, together with the development of a testing platform that can make such scheme feasible and practical. In the present paper the initial investigation on the definition of the certification scheme, together with the impact on practical measurement is presented. The YouTube API and ExoPlayer will be used as use cases for extracting a sets of Key Performance Indicators for comparison.
{"title":"TRIANGLE: a Platform to Validate 5G KPIs in End to End scenarios","authors":"A. Díaz, A. Cattoni, C. Cárdenas, Oscar Castañeda, J. Polglase, P. Merino, M. Dieudonne","doi":"10.1109/CAMAD.2018.8514947","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514947","url":null,"abstract":"The mobile Apps market is flourishing and will become an important part of the 5G business model. Ensuring the proper functioning of 5G Apps and services is then paramount and a homogenous testing and certification scheme can help achieve it. Building on the experience on 4G and App testing methodologies, the TRIANGLE project is pursuing the creation of such a 5G certification scheme, together with the development of a testing platform that can make such scheme feasible and practical. In the present paper the initial investigation on the definition of the certification scheme, together with the impact on practical measurement is presented. The YouTube API and ExoPlayer will be used as use cases for extracting a sets of Key Performance Indicators for comparison.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126562519","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}
Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514966
Fernando Moreno-Cruz, Antonio Escobar-Molero, Encarnación Castillo, M. Becherer, A. Rivadeneyra, Diego P. Morale
Smart Grid is a promising new paradigm for the next generation power grid that aims at a more efficient generation, transformation, distribution and consumption of electricity and at the integration of the new renewable energies in the equation. For its development, extraordinary two-way communication and great sensorization are required and at this point emerges the wireless sensor networks with energy harvesting technologies. In this article, we present an innovative technique for energy harvesting in the area of smart grid at the wireless sensor nodes through radio frequency (RF) electromagnetic waves: RF energy harvesting, making them energetically autonomous. Several specific use-cases and applications are proposed where nodes with RF energy harvesting have advantages respect batteries, wires or other methods. A general node hardware structure for their development and a special wireless communication protocol for energy optimization in this kind of nodes are proposed as well.
{"title":"Why Use RF Energy Harvesting in Smart Grids","authors":"Fernando Moreno-Cruz, Antonio Escobar-Molero, Encarnación Castillo, M. Becherer, A. Rivadeneyra, Diego P. Morale","doi":"10.1109/CAMAD.2018.8514966","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514966","url":null,"abstract":"Smart Grid is a promising new paradigm for the next generation power grid that aims at a more efficient generation, transformation, distribution and consumption of electricity and at the integration of the new renewable energies in the equation. For its development, extraordinary two-way communication and great sensorization are required and at this point emerges the wireless sensor networks with energy harvesting technologies. In this article, we present an innovative technique for energy harvesting in the area of smart grid at the wireless sensor nodes through radio frequency (RF) electromagnetic waves: RF energy harvesting, making them energetically autonomous. Several specific use-cases and applications are proposed where nodes with RF energy harvesting have advantages respect batteries, wires or other methods. A general node hardware structure for their development and a special wireless communication protocol for energy optimization in this kind of nodes are proposed as well.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129961318","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}
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