Pub Date : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221228
Sarath Babu, Indrani Ghosh, B. S. Manoj
Roadside Units (RSUs) play a vital role in 5G-enabled vehicular networks as a platform for deploying various system components such as sensing devices, access points, SDN nodes, edge/fog servers, and even light-weight cloud terminals. Therefore, it is important to place RSUs at appropriate locations such that vehicles can make frequent contacts with them and, thereby, achieving the required QoS performance. In this paper, we define a new metric Effort for placing RSUs in vehicular networks for improving the number of vehicle-RSU contacts by considering road network characteristics such as road-length, road-type, and importance of the junctions. We derive an Effort-graph from the road network to compute the RSU locations using betweenness centrality measure. The simulation results show that our scheme provides better vehicle-RSU contacts in real-world traffic scenarios without compromising vehicle-RSU contact time and per-trip contact probability.
{"title":"Effort: A New Metric for Roadside Unit Placement in 5G Enabled Vehicular Networks","authors":"Sarath Babu, Indrani Ghosh, B. S. Manoj","doi":"10.1109/5GWF49715.2020.9221228","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221228","url":null,"abstract":"Roadside Units (RSUs) play a vital role in 5G-enabled vehicular networks as a platform for deploying various system components such as sensing devices, access points, SDN nodes, edge/fog servers, and even light-weight cloud terminals. Therefore, it is important to place RSUs at appropriate locations such that vehicles can make frequent contacts with them and, thereby, achieving the required QoS performance. In this paper, we define a new metric Effort for placing RSUs in vehicular networks for improving the number of vehicle-RSU contacts by considering road network characteristics such as road-length, road-type, and importance of the junctions. We derive an Effort-graph from the road network to compute the RSU locations using betweenness centrality measure. The simulation results show that our scheme provides better vehicle-RSU contacts in real-world traffic scenarios without compromising vehicle-RSU contact time and per-trip contact probability.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133766510","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221096
Kostas Chounos, A. Apostolaras, T. Korakis
In this paper, a novel framework for enabling dynamic Policy and Charging Rules in modern 5G multi-tenancy environments is designed and presented. More specifically, adaptive pricing schemes are utilized by MNOs for instantiating tailored slices, when the resources of a Mobile Network Operator (MNO) are insufficient to serve the connected users. A scheme where an MNO seeks and leases additional resources from an Infrastructure Provider (InP) is examined in this paper. Their negotiation is modeled as a Service Level Agreement (SLA) and the dynamic charging rules are implemented as an extension of the 5G Policy Charging Function (PCF). The analytical structure of the proposed architecture as well as all the methods and signals developed for MNO and InP collaboration, are described in the context of this work. Finally, extensive testbed experimentation proves proper functioning of the proposed framework, under both UDP and TCP additional traffic demands.
{"title":"A Dynamic Pricing and Leasing Module for 5G Networks","authors":"Kostas Chounos, A. Apostolaras, T. Korakis","doi":"10.1109/5GWF49715.2020.9221096","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221096","url":null,"abstract":"In this paper, a novel framework for enabling dynamic Policy and Charging Rules in modern 5G multi-tenancy environments is designed and presented. More specifically, adaptive pricing schemes are utilized by MNOs for instantiating tailored slices, when the resources of a Mobile Network Operator (MNO) are insufficient to serve the connected users. A scheme where an MNO seeks and leases additional resources from an Infrastructure Provider (InP) is examined in this paper. Their negotiation is modeled as a Service Level Agreement (SLA) and the dynamic charging rules are implemented as an extension of the 5G Policy Charging Function (PCF). The analytical structure of the proposed architecture as well as all the methods and signals developed for MNO and InP collaboration, are described in the context of this work. Finally, extensive testbed experimentation proves proper functioning of the proposed framework, under both UDP and TCP additional traffic demands.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755231","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221126
M. Krondorf, Steffen Bittner
Doppler frequency is a major channel impairment in mobile SATCOM receivers and LEO digital receivers. Due to its random nature, efficient Doppler frequency estimation and tracking algorithms is developed. Since computational resources especially on space-born platforms is costly, this paper shows how to implement Doppler frequency tracking with a minimum logic on FPGA or ASIC-based digital receivers. We show that Doppler frequency tracking is possible even with limited logic resources where only ADD, MULT and SHIFT operations could be used.
{"title":"A Logic-Efficient Recursive Doppler Rate Estimation Processor for LEO Satellites","authors":"M. Krondorf, Steffen Bittner","doi":"10.1109/5GWF49715.2020.9221126","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221126","url":null,"abstract":"Doppler frequency is a major channel impairment in mobile SATCOM receivers and LEO digital receivers. Due to its random nature, efficient Doppler frequency estimation and tracking algorithms is developed. Since computational resources especially on space-born platforms is costly, this paper shows how to implement Doppler frequency tracking with a minimum logic on FPGA or ASIC-based digital receivers. We show that Doppler frequency tracking is possible even with limited logic resources where only ADD, MULT and SHIFT operations could be used.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134097150","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221315
Abeer Z. Al-Marridi, Sarah Kharbach, E. Yaacoub, Amr M. Mohamed
Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health applications. However, transmitting massive medical data through a dynamic network imposes multiple challenges in terms of both application and network requirements. Therefore, many researchers propose compression approaches that facilitate the transmission of the data. In this work, the movement of the patients was considered while running a multi-objective optimization problem between transmission energy and the distortion ratio of the reconstructed medical data. Spatio-TEmporal Parametric Stepping (STEPS) and Random WayPoint (RWP) mobility models were used for patient movement simulation. STEPS showed better performance than RWP. This makes it a more preferable mobility model to be used while simulating in-doors medical scenarios, with minimal patient movements.
{"title":"Optimizing Energy-Distortion Trade-off for Vital Signs Delivery in Mobile Health Applications","authors":"Abeer Z. Al-Marridi, Sarah Kharbach, E. Yaacoub, Amr M. Mohamed","doi":"10.1109/5GWF49715.2020.9221315","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221315","url":null,"abstract":"Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health applications. However, transmitting massive medical data through a dynamic network imposes multiple challenges in terms of both application and network requirements. Therefore, many researchers propose compression approaches that facilitate the transmission of the data. In this work, the movement of the patients was considered while running a multi-objective optimization problem between transmission energy and the distortion ratio of the reconstructed medical data. Spatio-TEmporal Parametric Stepping (STEPS) and Random WayPoint (RWP) mobility models were used for patient movement simulation. STEPS showed better performance than RWP. This makes it a more preferable mobility model to be used while simulating in-doors medical scenarios, with minimal patient movements.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"1155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134387598","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}
Accurate estimation of channel state information (CSI) and sharing the same to transmitter is crucial to MIMO systems for efficient link adaptation. Although, performance of conventional CSI algorithms is satisfactory in 4G scenarios, scaling in bandwidth or transmission ranks typically results in degradation of accuracy. To address this behavior, we propose a deep learning (DL) based estimation framework for 5G New Radio (NR) focusing on both accuracy and complexity. The proposed model consists of two stages, a shared first stage for feature extraction followed by a second stage for feature combining. Through simulations, we show that the proposed model can improve the spectral efficiency (SE) achieved by up to 20.5% due to signal to noise ratio (SNR) gain of 1. 5dB compared to conventional approaches. Further, we achieve the gains at a complexity 11% lesser than its conventional counterparts, due to the common feature generation stage used.
{"title":"A Deep Learning based Approach for 5G NR CSI Estimation","authors":"Anirudh Reddy Godala, Sripada Kadambar, Ashok Kumar Reddy Chavva, Vaishal Tijoriwala","doi":"10.1109/5GWF49715.2020.9221309","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221309","url":null,"abstract":"Accurate estimation of channel state information (CSI) and sharing the same to transmitter is crucial to MIMO systems for efficient link adaptation. Although, performance of conventional CSI algorithms is satisfactory in 4G scenarios, scaling in bandwidth or transmission ranks typically results in degradation of accuracy. To address this behavior, we propose a deep learning (DL) based estimation framework for 5G New Radio (NR) focusing on both accuracy and complexity. The proposed model consists of two stages, a shared first stage for feature extraction followed by a second stage for feature combining. Through simulations, we show that the proposed model can improve the spectral efficiency (SE) achieved by up to 20.5% due to signal to noise ratio (SNR) gain of 1. 5dB compared to conventional approaches. Further, we achieve the gains at a complexity 11% lesser than its conventional counterparts, due to the common feature generation stage used.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132150673","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221156
S. K. Vankayala, J. Akhtar, S. AshokKrishnanK., A. Sah
Future generation networks are expected to support high data rate with very low latency so as to enable key services such as massive machine type communications, internet of things (IoTs) etc. Apart from the specific requirements set by different standard bodies in fulfilling these key services, there are key enabling features and processes that need overhauling to enhance the performance. One such process is frame synchronization between the gNB and the UE, which essentially is the first step towards granting resources for information transmission. In this paper, we thus present novel detection schemes that help in faster detection of the PSS at the UE which in turn helps in fast synchronization. Compared to the existing method, the proposed schemes not only enable in the faster detection but also enhances the detection performance at low signal-to-noise ratio (SNR). Further, simulation results are shown to corroborate the efficacy of the proposed algorithms.
{"title":"Accelerated Detection Schemes for PSS in 5G-NR","authors":"S. K. Vankayala, J. Akhtar, S. AshokKrishnanK., A. Sah","doi":"10.1109/5GWF49715.2020.9221156","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221156","url":null,"abstract":"Future generation networks are expected to support high data rate with very low latency so as to enable key services such as massive machine type communications, internet of things (IoTs) etc. Apart from the specific requirements set by different standard bodies in fulfilling these key services, there are key enabling features and processes that need overhauling to enhance the performance. One such process is frame synchronization between the gNB and the UE, which essentially is the first step towards granting resources for information transmission. In this paper, we thus present novel detection schemes that help in faster detection of the PSS at the UE which in turn helps in fast synchronization. Compared to the existing method, the proposed schemes not only enable in the faster detection but also enhances the detection performance at low signal-to-noise ratio (SNR). Further, simulation results are shown to corroborate the efficacy of the proposed algorithms.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128408628","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221107
Matthias G. Schraml, A. Knopp
In multiuser multiple-input multiple-output (MUMIMO) systems for beyond-5G, many user groups are served by the same transmitter in a time-based scheduling. Considering all unscheduled users as eavesdroppers puts a high complexity on algorithms to achieve physical layer security (PLS). Moreover, due to the Line-of-Sight channel properties, PLS is even more challenging to achieve in satellite communication (SATCOM) downlinks. In multibeam MU-MIMO satellite systems, which will be part of beyond-5G networks, the spatial degrees of freedom can be used for both throughput and secrecy improvements. We extend a user-fairness zero-forcing algorithm with artificial noise to achieve secure precoding even if the channel state information of the eavesdroppers is unknown. We define the secrecy outage probability for Line-of-Sight MU-MIMO SATCOM channels and analyze how it can be reduced by the aforementioned algorithm. Moreover, we introduce a trade-off between a high system throughput and a low secrecy outage probability for the cost-effectiveness considerations of PLS.
{"title":"Physical Layer Security with Unknown Eavesdroppers in Beyond-5G MU-MIMO SATCOM","authors":"Matthias G. Schraml, A. Knopp","doi":"10.1109/5GWF49715.2020.9221107","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221107","url":null,"abstract":"In multiuser multiple-input multiple-output (MUMIMO) systems for beyond-5G, many user groups are served by the same transmitter in a time-based scheduling. Considering all unscheduled users as eavesdroppers puts a high complexity on algorithms to achieve physical layer security (PLS). Moreover, due to the Line-of-Sight channel properties, PLS is even more challenging to achieve in satellite communication (SATCOM) downlinks. In multibeam MU-MIMO satellite systems, which will be part of beyond-5G networks, the spatial degrees of freedom can be used for both throughput and secrecy improvements. We extend a user-fairness zero-forcing algorithm with artificial noise to achieve secure precoding even if the channel state information of the eavesdroppers is unknown. We define the secrecy outage probability for Line-of-Sight MU-MIMO SATCOM channels and analyze how it can be reduced by the aforementioned algorithm. Moreover, we introduce a trade-off between a high system throughput and a low secrecy outage probability for the cost-effectiveness considerations of PLS.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847716","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221443
Rohit Kumar, S. Satapathy, Shivani Singh, S. Darak
Cognitive ad-hoc networks allow users to access an unlicensed/shared spectrum without the need for any coordination via a central controller and are being envisioned for futuristic ultra-dense wireless networks. The ad-hoc nature of networks require each user to learn and regularly update various network parameters such as channel quality and the number of users, and use learned information to improve the spectrum utilization and minimize collisions. For such a learning and coordination task, we propose a distributed algorithm based on a multi-player multi-armed bandit approach and novel signaling scheme. The proposed algorithm does not need prior knowledge of network parameters (users, channels) and its ability to detect as well as adapt to the changes in the network parameters thereby making it suitable for static as well as dynamic networks. The theoretical analysis and extensive simulation results validate the superiority of the proposed algorithm over existing state-of-the-art algorithms.
{"title":"Multi-player Multi-armed Bandits for Dynamic Cognitive Ad-Hoc Networks","authors":"Rohit Kumar, S. Satapathy, Shivani Singh, S. Darak","doi":"10.1109/5GWF49715.2020.9221443","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221443","url":null,"abstract":"Cognitive ad-hoc networks allow users to access an unlicensed/shared spectrum without the need for any coordination via a central controller and are being envisioned for futuristic ultra-dense wireless networks. The ad-hoc nature of networks require each user to learn and regularly update various network parameters such as channel quality and the number of users, and use learned information to improve the spectrum utilization and minimize collisions. For such a learning and coordination task, we propose a distributed algorithm based on a multi-player multi-armed bandit approach and novel signaling scheme. The proposed algorithm does not need prior knowledge of network parameters (users, channels) and its ability to detect as well as adapt to the changes in the network parameters thereby making it suitable for static as well as dynamic networks. The theoretical analysis and extensive simulation results validate the superiority of the proposed algorithm over existing state-of-the-art algorithms.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869665","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221407
Chrystel Gaber, José Manuel Sánchez-Vílchez, Gürkan Gür, M. Chopin, N. Perrot, Jean-Luc Grimault, Jean-Philippe Wary
Multi-party and multi-layer nature of 5G networks implies the inherent distribution of management and orchestration decisions across multiple entities. Therefore, responsibility for management decisions concerning end-to-end services become blurred if no efficient liability and accountability mechanism is used. In this paper, we present the design, building blocks and challenges of a Liability-Aware Security Management (LASM) system for 5G. We describe how existing security concepts such as manifests and Security-by-Contract, root cause analysis, remote attestation, proof of transit, and trust and reputation models can be composed and enhanced to take risk and responsibilities into account for security and liability management.
{"title":"Liability-Aware Security Management for 5G","authors":"Chrystel Gaber, José Manuel Sánchez-Vílchez, Gürkan Gür, M. Chopin, N. Perrot, Jean-Luc Grimault, Jean-Philippe Wary","doi":"10.1109/5GWF49715.2020.9221407","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221407","url":null,"abstract":"Multi-party and multi-layer nature of 5G networks implies the inherent distribution of management and orchestration decisions across multiple entities. Therefore, responsibility for management decisions concerning end-to-end services become blurred if no efficient liability and accountability mechanism is used. In this paper, we present the design, building blocks and challenges of a Liability-Aware Security Management (LASM) system for 5G. We describe how existing security concepts such as manifests and Security-by-Contract, root cause analysis, remote attestation, proof of transit, and trust and reputation models can be composed and enhanced to take risk and responsibilities into account for security and liability management.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125731374","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 : 2020-09-01DOI: 10.1109/5GWF49715.2020.9221336
Megha Sahu, Sri Pramodh Rachuri, Ahtisham Ali Ansari, D. Tandur, A. Kherani
This paper addresses the challenge of limiting the delay and jitter characteristics in a communication system under a multi-connectivity setup. We consider an end-to-end system where the traffic source is connected to the network via multiple wireless interfaces and the application is sensitive to the perceived delay and jitter. We consider both the delay and jitter characteristics for each individual link with a varying degree of channel condition and scheduling requirements. Several challenges are identified for the application responsible for splitting and aggregating the traffic. In this system there is no cellular network coordination for the interface association to different available cellular base stations. The paper provides simulation and empirical results along with analytical models for understanding the implications of jitter and delay parameters in multi-connectivity setup. The work proposes a method to select the received packets such that both delay and jitter are limited in order to improve the overall system performance.
{"title":"On limiting Delay and Jitter characteristics at application-layer of Multi-connected Systems","authors":"Megha Sahu, Sri Pramodh Rachuri, Ahtisham Ali Ansari, D. Tandur, A. Kherani","doi":"10.1109/5GWF49715.2020.9221336","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221336","url":null,"abstract":"This paper addresses the challenge of limiting the delay and jitter characteristics in a communication system under a multi-connectivity setup. We consider an end-to-end system where the traffic source is connected to the network via multiple wireless interfaces and the application is sensitive to the perceived delay and jitter. We consider both the delay and jitter characteristics for each individual link with a varying degree of channel condition and scheduling requirements. Several challenges are identified for the application responsible for splitting and aggregating the traffic. In this system there is no cellular network coordination for the interface association to different available cellular base stations. The paper provides simulation and empirical results along with analytical models for understanding the implications of jitter and delay parameters in multi-connectivity setup. The work proposes a method to select the received packets such that both delay and jitter are limited in order to improve the overall system performance.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125039623","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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