Pub Date : 2018-09-01DOI: 10.1109/CAMAD.2018.8514980
Zachary Raue, Fazel Anjomshoa, B. Kantarci
In this paper, we propose and quantify the usability design of a continuous verification platform on smart mobile devices. The continuous verification platform aims at improving user experience in continuous verification of smartphone users, particularly in non-dedicated smartphone sensing campaigns. To this end, we re-design the mobile behaviometric platform in [1] by introducing enhanced usability features, as well as sustainability measures to prolong battery life of the devices while recruiting the users for non-dedicated sensing campaigns. Furthermore, we extend the continuous verification modules by introducing gesture recognition and a dual mode verification system. Through real time study, we show that the presented framework can achieve continuous verification of users on smart mobile devices by consuming 73% less memory and 46% less storage when compared to its predecessor. Moreover, the proposed framework can significantly reduce the battery drain down to an average percentage of 0.1% while operating with consistency, compliance and extensibility as opposed to its predecessor.
{"title":"Empowering Human-Computer Interaction in Securing Smartphone Sensing","authors":"Zachary Raue, Fazel Anjomshoa, B. Kantarci","doi":"10.1109/CAMAD.2018.8514980","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514980","url":null,"abstract":"In this paper, we propose and quantify the usability design of a continuous verification platform on smart mobile devices. The continuous verification platform aims at improving user experience in continuous verification of smartphone users, particularly in non-dedicated smartphone sensing campaigns. To this end, we re-design the mobile behaviometric platform in [1] by introducing enhanced usability features, as well as sustainability measures to prolong battery life of the devices while recruiting the users for non-dedicated sensing campaigns. Furthermore, we extend the continuous verification modules by introducing gesture recognition and a dual mode verification system. Through real time study, we show that the presented framework can achieve continuous verification of users on smart mobile devices by consuming 73% less memory and 46% less storage when compared to its predecessor. Moreover, the proposed framework can significantly reduce the battery drain down to an average percentage of 0.1% while operating with consistency, compliance and extensibility as opposed to its predecessor.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"120 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":"133905850","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.2018.8514936
R. Lent
Interplanetary communication networks operate in harsh environments where space protocols must deal with huge propagation delays, scanty resources, and regular link disrup- tions. The Licklider Transmission Protocol (LTP) serves as a convergence layer for the transmission of bundles in the form of data blocks, and offers reliable delivery through segment retransmissions. To prevent waste of resources, LTP can stop a block transmission at either side of a communication after a certain number of timeout events or control segment transmis- sions. We analyze the method employed in the current reference implementation of LTP that sets values for these parameters and suggest an alternative method that provides enhanced control over the expected block loss ratio. Simulation results provide evidence of the efficacy of the proposed approach. Outputs of this research potentially benefit the performance of space networks and challenged terrestrial networks.
{"title":"Regulating the Block Loss Ratio of the Licklider Transmission Protocol","authors":"R. Lent","doi":"10.1109/CAMAD.2018.8514936","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514936","url":null,"abstract":"Interplanetary communication networks operate in harsh environments where space protocols must deal with huge propagation delays, scanty resources, and regular link disrup- tions. The Licklider Transmission Protocol (LTP) serves as a convergence layer for the transmission of bundles in the form of data blocks, and offers reliable delivery through segment retransmissions. To prevent waste of resources, LTP can stop a block transmission at either side of a communication after a certain number of timeout events or control segment transmis- sions. We analyze the method employed in the current reference implementation of LTP that sets values for these parameters and suggest an alternative method that provides enhanced control over the expected block loss ratio. Simulation results provide evidence of the efficacy of the proposed approach. Outputs of this research potentially benefit the performance of space networks and challenged terrestrial networks.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"12 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":"134227969","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.2018.8514976
Guangyuan Liu, Aram Khodamoradi, P. Mattavelli, T. Caldognetto, P. Magnone
This paper gives a general view of the control possibilities for dc-dc converters in dc nanogrids. A widely adopted control method is the droop control, which is able to achieve proportional load sharing among multiple sources and to stabilize the voltage of the dc distribution bus. Based on the droop control, several advanced control functions can be implemented. For example, power-based droop controllers allow dc-dc converters to operate with power flow control or droop control, whether the hosting nanogrid is operating connected to a strong upstream grid or it is operating autonomously (i.e., islanded). Converters can also be equipped with various supporting functions. Functions that are expected to play a crucial role in nanogrids that fully embrace the plug-and-play paradigm are those aiming at the monitoring and tuning of the key performance indices of the control loops. On-line stability monitoring tools respond to this need, by continuously providing estimates of the stability margins of the loops of interest; self-tuning can be eventually achieved on the basis of the obtained estimates. These control solutions can significantly enhance the operation and the plug-and-play feature of dc nanogrids, even with a variable number of hosted converters. Experimental results are reported to show the performance of the control approaches.
{"title":"Plug and Play DC-DC Converters for Smart DC Nanogrids with Advanced Control Ancillary Services","authors":"Guangyuan Liu, Aram Khodamoradi, P. Mattavelli, T. Caldognetto, P. Magnone","doi":"10.1109/CAMAD.2018.8514976","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514976","url":null,"abstract":"This paper gives a general view of the control possibilities for dc-dc converters in dc nanogrids. A widely adopted control method is the droop control, which is able to achieve proportional load sharing among multiple sources and to stabilize the voltage of the dc distribution bus. Based on the droop control, several advanced control functions can be implemented. For example, power-based droop controllers allow dc-dc converters to operate with power flow control or droop control, whether the hosting nanogrid is operating connected to a strong upstream grid or it is operating autonomously (i.e., islanded). Converters can also be equipped with various supporting functions. Functions that are expected to play a crucial role in nanogrids that fully embrace the plug-and-play paradigm are those aiming at the monitoring and tuning of the key performance indices of the control loops. On-line stability monitoring tools respond to this need, by continuously providing estimates of the stability margins of the loops of interest; self-tuning can be eventually achieved on the basis of the obtained estimates. These control solutions can significantly enhance the operation and the plug-and-play feature of dc nanogrids, even with a variable number of hosted converters. Experimental results are reported to show the performance of the control approaches.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"63 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":"124979712","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.2018.8514963
S. Narayanan, D. Tsolkas, N. Passas, L. Merakos
The existing mobile network infrastructure is currently optimized to support the Narrow-Band Internet of Things (NB-IoT), which is meant to provide numerous services in poor coverage areas, with ultra-low power consumption. The question that arises is whether (and to what extent) NB-IoT can meet the requirement for massive Machine Type Communications (mMTC) in the 5G era. In view of this, we study coverage enhancement in NB-IoT. We describe the subframe structure for various physical channels of NB-IoT and explain the repetition mechanism used for downlink transmissions in poor coverage areas. Focusing on optimizing this mechanism, we analyze how the latency and user blockage can be reduced by a proper selection of the downlink radio resources.
{"title":"NB-IoT: A Candidate Technology for Massive IoT in the 5G Era","authors":"S. Narayanan, D. Tsolkas, N. Passas, L. Merakos","doi":"10.1109/CAMAD.2018.8514963","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514963","url":null,"abstract":"The existing mobile network infrastructure is currently optimized to support the Narrow-Band Internet of Things (NB-IoT), which is meant to provide numerous services in poor coverage areas, with ultra-low power consumption. The question that arises is whether (and to what extent) NB-IoT can meet the requirement for massive Machine Type Communications (mMTC) in the 5G era. In view of this, we study coverage enhancement in NB-IoT. We describe the subframe structure for various physical channels of NB-IoT and explain the repetition mechanism used for downlink transmissions in poor coverage areas. Focusing on optimizing this mechanism, we analyze how the latency and user blockage can be reduced by a proper selection of the downlink radio resources.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"36 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":"129071458","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.2018.8514983
Kamran Zia, N. Javed, Muhammad Nadeem Sial, Sohail Ahmed, Farrukh Pervez
Device to device (D2D) communication technology is widely considered in 5G for providing higher data rates and increase network capacity. The performance benefits of D2D communication are best achieved if it takes place in shared mode in which it reuses the spectrum being utilized by conventional cellular users. This induces significant challenges in allocating resources because of severe interference among D2D and cellular users. Moreover, centralized resource allocation techniques proposed in literature for D2D users can no longer be practical in dense heterogeneous networks considered for 5G. In this paper, we present a distributed learning based spectrum allocation scheme in which D2D users learn the environment and autonomously select spectrum resources to maximize their Throughput and Spectral Efficiency (SE) while caus- ing minimum interference to the cellular users. We have employed distributed learning in a stochastic geometry based realistic network. Our evaluation results show that the employed learning scheme enables users to achieve high Throughput and Spectral Efficiency while meeting QoS requirements of macro and femto tier.
{"title":"Multi-Agent RL based User-Centric Spectrum Allocation Scheme in D2D Enabled Hetnets","authors":"Kamran Zia, N. Javed, Muhammad Nadeem Sial, Sohail Ahmed, Farrukh Pervez","doi":"10.1109/CAMAD.2018.8514983","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514983","url":null,"abstract":"Device to device (D2D) communication technology is widely considered in 5G for providing higher data rates and increase network capacity. The performance benefits of D2D communication are best achieved if it takes place in shared mode in which it reuses the spectrum being utilized by conventional cellular users. This induces significant challenges in allocating resources because of severe interference among D2D and cellular users. Moreover, centralized resource allocation techniques proposed in literature for D2D users can no longer be practical in dense heterogeneous networks considered for 5G. In this paper, we present a distributed learning based spectrum allocation scheme in which D2D users learn the environment and autonomously select spectrum resources to maximize their Throughput and Spectral Efficiency (SE) while caus- ing minimum interference to the cellular users. We have employed distributed learning in a stochastic geometry based realistic network. Our evaluation results show that the employed learning scheme enables users to achieve high Throughput and Spectral Efficiency while meeting QoS requirements of macro and femto tier.","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":"129796277","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.2018.8514969
Filippo Poltronieri, C. Stefanelli, Niranjan Suri, M. Tortonesi
Efficient design for Fog Computing applications need to consider the optimal use of the available resources at the edge and the Cloud, switching from one other depending on the current status, execution price, and user requirements. This is a complex task, as the optimization needs to consider the distributed and dynamic nature of the environment. There is the need to support investigation efforts by enabling researchers to experiment with Fog environments in a controlled and reproducible fashion. Unfortunately, most simulators do not implement a service model suited for Fog computing applications. This paper presents Phileas, a simulator that supports the definition of Fog services. Phileas allows to reenact the behavior of Fog services and evaluate different service policies and allocation strategies.
{"title":"Phileas: A Simulation-based Approach for the Evaluation of Value-based Fog Services","authors":"Filippo Poltronieri, C. Stefanelli, Niranjan Suri, M. Tortonesi","doi":"10.1109/CAMAD.2018.8514969","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514969","url":null,"abstract":"Efficient design for Fog Computing applications need to consider the optimal use of the available resources at the edge and the Cloud, switching from one other depending on the current status, execution price, and user requirements. This is a complex task, as the optimization needs to consider the distributed and dynamic nature of the environment. There is the need to support investigation efforts by enabling researchers to experiment with Fog environments in a controlled and reproducible fashion. Unfortunately, most simulators do not implement a service model suited for Fog computing applications. This paper presents Phileas, a simulator that supports the definition of Fog services. Phileas allows to reenact the behavior of Fog services and evaluate different service policies and allocation strategies.","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":"124138924","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.2018.8514970
Carlo Giannelli, Filippo Poltronieri, C. Stefanelli, M. Tortonesi
Fog Computing is a recent and compelling paradigm that proposes to run information-processing services at the edge of the network. While interesting standardization efforts are being currently pursued by many organizations, most of them focus on management and orchestration functions and primarily propose the adoption of programming models designed for Cloud applications in the Fog. Instead, Fog Computing applications would significantly benefit from innovative solutions that adopt an "acceptable lossiness" perspective and manage information processing and dissemination in a dynamic and integrated fashion. This paper presents an overview of the opportunities and challenges in Fog Computing application development, proposes an innovative holistic Software Defined Networking (SDN) approach based on an information-centric and value-based service model to support those applications, and presents an overview of the Holistic Analytics and Networking (HAN) SDN architecture that we are developing to realize this ambitious vision.
{"title":"Supporting the Development of Next-generation Fog Services","authors":"Carlo Giannelli, Filippo Poltronieri, C. Stefanelli, M. Tortonesi","doi":"10.1109/CAMAD.2018.8514970","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514970","url":null,"abstract":"Fog Computing is a recent and compelling paradigm that proposes to run information-processing services at the edge of the network. While interesting standardization efforts are being currently pursued by many organizations, most of them focus on management and orchestration functions and primarily propose the adoption of programming models designed for Cloud applications in the Fog. Instead, Fog Computing applications would significantly benefit from innovative solutions that adopt an \"acceptable lossiness\" perspective and manage information processing and dissemination in a dynamic and integrated fashion. This paper presents an overview of the opportunities and challenges in Fog Computing application development, proposes an innovative holistic Software Defined Networking (SDN) approach based on an information-centric and value-based service model to support those applications, and presents an overview of the Holistic Analytics and Networking (HAN) SDN architecture that we are developing to realize this ambitious vision.","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":"130607774","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.2018.8514997
Jordi Serra, Luis Sanabria-Russo, D. Pubill, C. Verikoukis
This paper deals with Internet of Things (IoT) data analytics in a collaborative platform where computing resources are available both at the network edge and at the backend cloud. Thereby, the requirements of both low-latency and delaytolerant IoT applications can be met. Moreover, this platform faces the challenging heterogeneous features of IoT data, i.e. its high dimensionality or its geo-distributed and streaming data nature. The proposed approach relies on two pillars. On the one hand, recent advances of machine learning (ML) techniques are leveraged to describe how the IoT data analytics can be performed in our platform. On the other hand, the virtualization, centralized management, global view and programmability of the computing and network resources is considered to fulfill the requirements of the ML methods. Unlike the related work, herein the interplay and synergies between those two pillars is explained. Also the ML methods for this collaborative platform are described in more detail.
{"title":"Scalable and Flexible IoT data analytics: when Machine Learning meets SDN and Virtualization","authors":"Jordi Serra, Luis Sanabria-Russo, D. Pubill, C. Verikoukis","doi":"10.1109/CAMAD.2018.8514997","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514997","url":null,"abstract":"This paper deals with Internet of Things (IoT) data analytics in a collaborative platform where computing resources are available both at the network edge and at the backend cloud. Thereby, the requirements of both low-latency and delaytolerant IoT applications can be met. Moreover, this platform faces the challenging heterogeneous features of IoT data, i.e. its high dimensionality or its geo-distributed and streaming data nature. The proposed approach relies on two pillars. On the one hand, recent advances of machine learning (ML) techniques are leveraged to describe how the IoT data analytics can be performed in our platform. On the other hand, the virtualization, centralized management, global view and programmability of the computing and network resources is considered to fulfill the requirements of the ML methods. Unlike the related work, herein the interplay and synergies between those two pillars is explained. Also the ML methods for this collaborative platform are described in more detail.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"141 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":"123475263","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.2018.8514934
Michael Dilmore, A. Doufexi, G. Oikonomou
This work proposes a simple analytical model for interface bonding in 5G WLANs at the 2.4 GHz and 60 GHz ISM bands. Based on previous analysis of the IEEE 802.11 DCF by Bianchi and Chatzimisios, an expression for the predicted throughput of the bonded interface is given as a function of the number of competing wireless nodes in each network.The model is implemented and validated in MatLab using the Monte Carlo method. When applied to a practical interface bonding scenario, the model results suggest a practical limit of fifteen 2.4 GHz nodes when bonded with a 60 GHz interface, above which the resulting compound throughput is less than that of a single 60 GHz interface.
{"title":"Analysing Interface Bonding in 5G WLANs","authors":"Michael Dilmore, A. Doufexi, G. Oikonomou","doi":"10.1109/CAMAD.2018.8514934","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514934","url":null,"abstract":"This work proposes a simple analytical model for interface bonding in 5G WLANs at the 2.4 GHz and 60 GHz ISM bands. Based on previous analysis of the IEEE 802.11 DCF by Bianchi and Chatzimisios, an expression for the predicted throughput of the bonded interface is given as a function of the number of competing wireless nodes in each network.The model is implemented and validated in MatLab using the Monte Carlo method. When applied to a practical interface bonding scenario, the model results suggest a practical limit of fifteen 2.4 GHz nodes when bonded with a 60 GHz interface, above which the resulting compound throughput is less than that of a single 60 GHz interface.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"68 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":"122107347","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.2018.8514960
T. M. Ayenew, Dionysis Xenakis, N. Passas, L. Merakos
Optimal caching strategies of popular contents in heterogeneous cellular networks are studied. The increasing demand for data traffic by users of the wireless network can be handled by rapaciously caching most frequently accessed contents by users. Hence, we propose an efficient popular content placement strategy, the first step in the content caching process, typically for popular video files. To do so, we introduce a novel approach for caching popular contents. This caching strategy follows a dynamic programming approach to tackle the optimization complexity of selecting most popular files among a wide range of files, under certain constraints. The proposed strategy gives the combination of popular files to be cached that maximizes the optimal cache hit probability with a pseudo-polynomial time complexity. To that end, we used the well-known resourcing algorithm, called the 0/1-Knapsack problem, assuming that files are cached without partitioning.
{"title":"Dynamic Programming Based Content Placement Strategy for 5G and Beyond Cellular Networks","authors":"T. M. Ayenew, Dionysis Xenakis, N. Passas, L. Merakos","doi":"10.1109/CAMAD.2018.8514960","DOIUrl":"https://doi.org/10.1109/CAMAD.2018.8514960","url":null,"abstract":"Optimal caching strategies of popular contents in heterogeneous cellular networks are studied. The increasing demand for data traffic by users of the wireless network can be handled by rapaciously caching most frequently accessed contents by users. Hence, we propose an efficient popular content placement strategy, the first step in the content caching process, typically for popular video files. To do so, we introduce a novel approach for caching popular contents. This caching strategy follows a dynamic programming approach to tackle the optimization complexity of selecting most popular files among a wide range of files, under certain constraints. The proposed strategy gives the combination of popular files to be cached that maximizes the optimal cache hit probability with a pseudo-polynomial time complexity. To that end, we used the well-known resourcing algorithm, called the 0/1-Knapsack problem, assuming that files are cached without partitioning.","PeriodicalId":173858,"journal":{"name":"2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"48 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":"115682075","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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