The high throughput demand from mobile subscribers can be satisfied by utilizing small cell aided ultra dense networks (UDNs). However, excessive deployment of such cells in UDNs results in significant increase in energy consumption of the network. This profusion in the consumption of energy can be handled by appropriately switching off some of the small cells during low data demand. This base station sleeping (BSS) cannot be performed alone as it has been shown that that the BSS adversely affects the network’s coverage and throughput. To compensate for the loss in throughput due to BSS, we utilize non-orthogonal multiple access (NOMA) in this paper. The main objective of introducing NOMA along with BSS is to serve the users under the switched-off base station by pairing them as NOMA users within nearby base stations. Hence, we formulate the resource allocation in the downlink as an optimization problem for NOMA and BSS. We solve this problem for a given NOMA pairing and BSS. Through numerical results, we show that the NOMA combined with BSS results in improved network throughput and energy efficiency as compared to the benchmark system at the cost of reduced network coverage.
{"title":"Non-Orthogonal Multiple Access for Ultra-Dense Cellular Networks with Base Station Sleeping","authors":"Garima Chopra, Yoghitha Ramamoorthi, Abhinav Kumar, Ankit Dubey","doi":"10.1109/5GWF49715.2020.9221382","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221382","url":null,"abstract":"The high throughput demand from mobile subscribers can be satisfied by utilizing small cell aided ultra dense networks (UDNs). However, excessive deployment of such cells in UDNs results in significant increase in energy consumption of the network. This profusion in the consumption of energy can be handled by appropriately switching off some of the small cells during low data demand. This base station sleeping (BSS) cannot be performed alone as it has been shown that that the BSS adversely affects the network’s coverage and throughput. To compensate for the loss in throughput due to BSS, we utilize non-orthogonal multiple access (NOMA) in this paper. The main objective of introducing NOMA along with BSS is to serve the users under the switched-off base station by pairing them as NOMA users within nearby base stations. Hence, we formulate the resource allocation in the downlink as an optimization problem for NOMA and BSS. We solve this problem for a given NOMA pairing and BSS. Through numerical results, we show that the NOMA combined with BSS results in improved network throughput and energy efficiency as compared to the benchmark system at the cost of reduced network coverage.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"121 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":"115686054","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: 10.1109/5gwf49715.2020.9221110
Z. A. Burhanudin, Nurul Nadia Hafiza Binti Mohd Norhakim, Kok Ken Chan, Mohd., Azwadi Omar, S. Chachuli, M. Hamidon, Shuhazzly Mamat, Nor Hafizah Ngajikin, N. Nayan
Parallel Session 1C Technology Scientometric Indicators and Machine Learning-Based Models for Predicting Rising Stars in Academia Omar Bin-Obaidellah (King Fahd University of Petroleum and Minerals, Saudi Arabia), Ashraf E. Al-Fagih (King Fahd University of Petroleum and Minerals, Saudi Arabia) 1 Improving Neural Machine Translation Using Rule-Based Machine Translation Muskaan Singh (Thapar Intitute of Engineering and Technology, India), Ravinder Kumar (Thapar Institute of Engineering and Technology, Patiala, India), Inderveer Chana (Thapar Institute of Engineering and Technology(Deemed to be University), India) 8 Road Accident Analysis and Prediction of Accident Severity by Using Machine Learning in Bangladesh Md. Farhan Labib (East West University, Bangladesh), Ahmed Sady Rifat (East West University, Bangladesh), Md. Mosabbir Hossain (East West University, Bangladesh), Amit Kumar Das (University of Dhaka, Bangladesh), Faria Nawrine (East West University, Bangladesh) 13 Named Entity Recognition in Bengali Text Using Merged Hidden Markov Model and Rule Base Approach Mah Dian Drovo (East West University, Bangladesh), Moithri Chowdhury (East West University, Bangladesh), Saiful Islam Uday (East West University, Bangladesh), Amit Kumar Das (University of Dhaka, Bangladesh) 18 Second Order Difference Plot to Decode Multi-class Motor Imagery Activities Niraj Bagh (Indian Institute of Technology, India), RamasubbaReddy Machireddy (IITM, India) 23
{"title":"Program","authors":"Z. A. Burhanudin, Nurul Nadia Hafiza Binti Mohd Norhakim, Kok Ken Chan, Mohd., Azwadi Omar, S. Chachuli, M. Hamidon, Shuhazzly Mamat, Nor Hafizah Ngajikin, N. Nayan","doi":"10.1109/5gwf49715.2020.9221110","DOIUrl":"https://doi.org/10.1109/5gwf49715.2020.9221110","url":null,"abstract":"Parallel Session 1C Technology Scientometric Indicators and Machine Learning-Based Models for Predicting Rising Stars in Academia Omar Bin-Obaidellah (King Fahd University of Petroleum and Minerals, Saudi Arabia), Ashraf E. Al-Fagih (King Fahd University of Petroleum and Minerals, Saudi Arabia) 1 Improving Neural Machine Translation Using Rule-Based Machine Translation Muskaan Singh (Thapar Intitute of Engineering and Technology, India), Ravinder Kumar (Thapar Institute of Engineering and Technology, Patiala, India), Inderveer Chana (Thapar Institute of Engineering and Technology(Deemed to be University), India) 8 Road Accident Analysis and Prediction of Accident Severity by Using Machine Learning in Bangladesh Md. Farhan Labib (East West University, Bangladesh), Ahmed Sady Rifat (East West University, Bangladesh), Md. Mosabbir Hossain (East West University, Bangladesh), Amit Kumar Das (University of Dhaka, Bangladesh), Faria Nawrine (East West University, Bangladesh) 13 Named Entity Recognition in Bengali Text Using Merged Hidden Markov Model and Rule Base Approach Mah Dian Drovo (East West University, Bangladesh), Moithri Chowdhury (East West University, Bangladesh), Saiful Islam Uday (East West University, Bangladesh), Amit Kumar Das (University of Dhaka, Bangladesh) 18 Second Order Difference Plot to Decode Multi-class Motor Imagery Activities Niraj Bagh (Indian Institute of Technology, India), RamasubbaReddy Machireddy (IITM, India) 23","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"2006 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":"116934909","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: 10.1109/5GWF49715.2020.9221292
Rakshitha De Silva, Yushan Siriwardhana, Tharaka Samarasinghe, M. Ylianttila, Madhusanka Liyanage
Network softwarization enables the novel concept of Local 5G Operator (L5GO) networks, for deploying localized 5G solutions to serve case and location specific communication needs. This paper proposes a L5GO network architecture for delay critical future telehealth services, considering two use cases on augmented reality assisted and robotic aided surgery. The paper compares the latency performance of the proposed L5GO architecture with a traditional legacy network and a network equipped with Multi-access Edge Computing (MEC). The results highlight the unique advantages of utilizing an L5GO to cater the communication needs of delay critical telehealth, compared to a traditional network.
{"title":"Local 5G Operator Architecture for Delay Critical Telehealth Applications","authors":"Rakshitha De Silva, Yushan Siriwardhana, Tharaka Samarasinghe, M. Ylianttila, Madhusanka Liyanage","doi":"10.1109/5GWF49715.2020.9221292","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221292","url":null,"abstract":"Network softwarization enables the novel concept of Local 5G Operator (L5GO) networks, for deploying localized 5G solutions to serve case and location specific communication needs. This paper proposes a L5GO network architecture for delay critical future telehealth services, considering two use cases on augmented reality assisted and robotic aided surgery. The paper compares the latency performance of the proposed L5GO architecture with a traditional legacy network and a network equipped with Multi-access Edge Computing (MEC). The results highlight the unique advantages of utilizing an L5GO to cater the communication needs of delay critical telehealth, compared to a traditional network.","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":"125880158","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: 10.1109/5GWF49715.2020.9221322
C. Shinde
In this fast approaching era of 5G deployments, MNOs have started implementing Centralized radio access networks (C-RAN) so that it can fulfil the prodigious requirements of future 5G services in terms of network latency, service availability, capacity, and network coordination. The fronthaul interface will now have to adapt to various functional splits and cannot be constrained to one split option. Thus evolved Common Public Radio Interface (eCPRI) has been introduced for the communication between the evolved Radio Equipment Controller (eREC) and evolved Radio Equipment (eRE). This article aims to deliver a basic understanding of eCPRI specification: its concept, design and synchronisation. The author plans to give the industrial world a realistic glimpse of the amendments required in the already deployed CPRI fronthaul so as to make it 5G compatible eCPRI, and research challenges in the next-generation 5G mobile network.
{"title":"A pragmatic industrial road map for shifting the existing fronthaul from CPRI to 5G compatible eCPRI","authors":"C. Shinde","doi":"10.1109/5GWF49715.2020.9221322","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221322","url":null,"abstract":"In this fast approaching era of 5G deployments, MNOs have started implementing Centralized radio access networks (C-RAN) so that it can fulfil the prodigious requirements of future 5G services in terms of network latency, service availability, capacity, and network coordination. The fronthaul interface will now have to adapt to various functional splits and cannot be constrained to one split option. Thus evolved Common Public Radio Interface (eCPRI) has been introduced for the communication between the evolved Radio Equipment Controller (eREC) and evolved Radio Equipment (eRE). This article aims to deliver a basic understanding of eCPRI specification: its concept, design and synchronisation. The author plans to give the industrial world a realistic glimpse of the amendments required in the already deployed CPRI fronthaul so as to make it 5G compatible eCPRI, and research challenges in the next-generation 5G mobile network.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"138 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":"123256315","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: 10.1109/5GWF49715.2020.9221221
R. Vilalta, R. Casellas, R. Sedar, F. V. Gallego, R. Martínez, S. K. Datta, Mathieu Lefebvre, Frédéric Gardes, Jean-Marc Odinot, Jérôme Härri, J. Alonso-Zarate, R. Muñoz
Cross-border scenarios are of extreme importance in current research work on 5G networks for connected vehicles. Network services and applications for connected vehicles, which are in specific cases expected to run on Mobile Edge Computing (MEC) infrastructure, might experience problems through country borders due to inter-domain. Given that cross-border scenarios typically imply a change of network operator, deployed MEC services need to work in such environments and, where applicable, different entities need to synchronize their input/output vehicular messages and work seamlessly in such a multi-operator context. One of most significant MEC services is vehicular message brokering. It consists on the controlled publishing and notification mechanisms to create awareness to all subscribed vehicles concerning their position as well as other significant events that may arise, such as hazardous events.This paper presents an architecture and method for vehicular message exchange, based on current Intelligent Transport Systems (ITS) standards, and proposes a novel hierarchical message brokering approach with the purpose of solving cross-domain scenarios, which can be applied not only in the aforementioned cross-border case but also in other scenarios where there is no single domain (i.e., with multiple vendors). Message Queuing Telemetry Transport (MQTT) servers are used in a hierarchical approach (locating a parent MQTT broker in a public cloud) in order to demonstrate the feasibility of using them for cross-border scenarios. Latency results are obtained in order to evaluate the performance penalty of the proposed solution.
{"title":"Vehicular Message Exchange in Cross-border Scenarios Using Public Cloud Infrastructure","authors":"R. Vilalta, R. Casellas, R. Sedar, F. V. Gallego, R. Martínez, S. K. Datta, Mathieu Lefebvre, Frédéric Gardes, Jean-Marc Odinot, Jérôme Härri, J. Alonso-Zarate, R. Muñoz","doi":"10.1109/5GWF49715.2020.9221221","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221221","url":null,"abstract":"Cross-border scenarios are of extreme importance in current research work on 5G networks for connected vehicles. Network services and applications for connected vehicles, which are in specific cases expected to run on Mobile Edge Computing (MEC) infrastructure, might experience problems through country borders due to inter-domain. Given that cross-border scenarios typically imply a change of network operator, deployed MEC services need to work in such environments and, where applicable, different entities need to synchronize their input/output vehicular messages and work seamlessly in such a multi-operator context. One of most significant MEC services is vehicular message brokering. It consists on the controlled publishing and notification mechanisms to create awareness to all subscribed vehicles concerning their position as well as other significant events that may arise, such as hazardous events.This paper presents an architecture and method for vehicular message exchange, based on current Intelligent Transport Systems (ITS) standards, and proposes a novel hierarchical message brokering approach with the purpose of solving cross-domain scenarios, which can be applied not only in the aforementioned cross-border case but also in other scenarios where there is no single domain (i.e., with multiple vendors). Message Queuing Telemetry Transport (MQTT) servers are used in a hierarchical approach (locating a parent MQTT broker in a public cloud) in order to demonstrate the feasibility of using them for cross-border scenarios. Latency results are obtained in order to evaluate the performance penalty of the proposed solution.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"69 6 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":"126772201","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: 10.1109/5GWF49715.2020.9221090
M. SheebaKumari, Navin Kumar, R. Prasad
The millimeter (mmWave) 5G new radio (NR) aims to provide orders of magnitude greater capacity through increased bandwidth and beamforming assisted narrow beam transmissions. The assumption of directional antennas with narrow radiating beams will reduce the number of contributing multipaths causing the channel to be sparser and simpler than the omnidirectional microwave channel. In this paper, we used a custom ray tracing model to study the behavior of directional mmWave urban micro (UMi) street canyon (SC) links. The proposed channel model harnesses the higher attenuation in high frequency mmWaves and the spatial filtering of directional antennas to reduce ray tracing complexity. The potential of this low complexity model has been evaluated through comprehensive simulation for both line of sight and non-line of sight mmWave communications at ranges up to 200m with different transmitter and receiver geometries. The impact of crossroad gaps on channel performance in a real urban SC 5G outdoor network design is also formulated. Several interesting insights have been derived. The strength of the proposed model constitutes path loss predictions at varying positions, frequency, and street orientation with/ without sidewall discontinuities.
{"title":"Performance of mmWave Ray Tracing Outdoor Channel Model Exploiting Antenna Directionality","authors":"M. SheebaKumari, Navin Kumar, R. Prasad","doi":"10.1109/5GWF49715.2020.9221090","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221090","url":null,"abstract":"The millimeter (mmWave) 5G new radio (NR) aims to provide orders of magnitude greater capacity through increased bandwidth and beamforming assisted narrow beam transmissions. The assumption of directional antennas with narrow radiating beams will reduce the number of contributing multipaths causing the channel to be sparser and simpler than the omnidirectional microwave channel. In this paper, we used a custom ray tracing model to study the behavior of directional mmWave urban micro (UMi) street canyon (SC) links. The proposed channel model harnesses the higher attenuation in high frequency mmWaves and the spatial filtering of directional antennas to reduce ray tracing complexity. The potential of this low complexity model has been evaluated through comprehensive simulation for both line of sight and non-line of sight mmWave communications at ranges up to 200m with different transmitter and receiver geometries. The impact of crossroad gaps on channel performance in a real urban SC 5G outdoor network design is also formulated. Several interesting insights have been derived. The strength of the proposed model constitutes path loss predictions at varying positions, frequency, and street orientation with/ without sidewall discontinuities.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"29 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":"115218358","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: 10.1109/5GWF49715.2020.9221401
I. Ahmed, H. Sadjadpour, S. Yousefi
It is known that adopting Variable-Resolution (VR) ADCs in millimeter-wave (mmWave) Massive Multiple-Input Multiple-Output (MaMIMO) receivers improves Energy Efficiency (EE). However, the effect of imperfect channel state information (CSI) at the receiver is detrimental in achieving the EE. None of the previous works consider imperfect CSI for designing ADC Bit Allocation (BA) for MaMIMO receivers. We propose a deep learning based framework to achieve a near-optimal EE for MaMIMO receivers. The contributions of this paper include a machine learning approach to arrive at a BA that achieves near-optimal EE by training the framework for a combination of perfect and imperfect channels using the conditions derived for capacity maximization. Using simulations, we show that the EE obtained using our proposed approach is very close to that of the brute force both for perfect and imperfect channels. Also, through simulations, we claim a computational complexity advantage using the proposed approach compared to brute force after sufficient learning of the channels presented to the system.
{"title":"Energy Efficient ADC Bit Allocation for Massive MIMO: A Deep-Learning Approach","authors":"I. Ahmed, H. Sadjadpour, S. Yousefi","doi":"10.1109/5GWF49715.2020.9221401","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221401","url":null,"abstract":"It is known that adopting Variable-Resolution (VR) ADCs in millimeter-wave (mmWave) Massive Multiple-Input Multiple-Output (MaMIMO) receivers improves Energy Efficiency (EE). However, the effect of imperfect channel state information (CSI) at the receiver is detrimental in achieving the EE. None of the previous works consider imperfect CSI for designing ADC Bit Allocation (BA) for MaMIMO receivers. We propose a deep learning based framework to achieve a near-optimal EE for MaMIMO receivers. The contributions of this paper include a machine learning approach to arrive at a BA that achieves near-optimal EE by training the framework for a combination of perfect and imperfect channels using the conditions derived for capacity maximization. Using simulations, we show that the EE obtained using our proposed approach is very close to that of the brute force both for perfect and imperfect channels. Also, through simulations, we claim a computational complexity advantage using the proposed approach compared to brute force after sufficient learning of the channels presented to the system.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"84 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":"116675235","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: 10.1109/5gwf49715.2020.9221125
The novel design of 5G New Radio (NR) air interface on one side and the demand for wider ranges and more types of spectrum access for different verticals and use cases on the other side provides both urgencies and opportunities to realize spectrum reuse through active/passive sharing and coexistence. This tutorial provides a technical overview of key technology components in 5G standards which facilitate spectrum reuse and sharing both within and across different categories of wireless systems. Features such as flexible time and frequency structure and bandwidth parts, resource reservations, Remote Interference Management and NR-unlicensed will be discussed. Also prospect of spectrum reuse between access, back-haul and front-haul and also non-terrestrial networks will be treated. In addition, we will discuss how the 5G NR technical solutions may fit within current and emerging spectrum sharing regulations.
{"title":"Message from the Committee","authors":"","doi":"10.1109/5gwf49715.2020.9221125","DOIUrl":"https://doi.org/10.1109/5gwf49715.2020.9221125","url":null,"abstract":"The novel design of 5G New Radio (NR) air interface on one side and the demand for wider ranges and more types of spectrum access for different verticals and use cases on the other side provides both urgencies and opportunities to realize spectrum reuse through active/passive sharing and coexistence. This tutorial provides a technical overview of key technology components in 5G standards which facilitate spectrum reuse and sharing both within and across different categories of wireless systems. Features such as flexible time and frequency structure and bandwidth parts, resource reservations, Remote Interference Management and NR-unlicensed will be discussed. Also prospect of spectrum reuse between access, back-haul and front-haul and also non-terrestrial networks will be treated. In addition, we will discuss how the 5G NR technical solutions may fit within current and emerging spectrum sharing regulations.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"25 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":"123569732","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: 10.1109/5GWF49715.2020.9221295
M. Kutila, K. Kauvo, Petri Aalto, V. Martinez, M. Niemi, Yinxiang Zheng
This article discusses the results of supporting transition towards fully automated driving with remote operator support via the novel V2X channels. Automated passenger cars are equipped with multiple sensors (radars, cameras, LiDARs, inertia, GNSS, etc.), the operation of which is limited by weather, detection range, processing power and resolution. The study explores the use of a dedicated network for supporting automated driving needs. The MEC server latencies and bandwidths are compared between the Tampere, Finland test network and studies conducted in China to support remote passenger car operation. In China the main aim is to evaluate the network latencies in different communication planes, whereas the European focus is more on associated driving applications, thus making the two studies mutually complementary.5G revolutionizes connected driving, providing new avenues due to having lower and less latency variation and higher bandwidths. However, due to higher operating frequencies, network coverage is a challenge and one base station is limited to a few hundred meters and thus they deployed mainly to cities with a high population density. Therefore, the transport solutions are lacking so-called C-V2X (one form of 5G RAT) to enable data exchanges between vehicles (V2V) and also between vehicles and the digital infrastructure (V2I). The results of this study indicate that new edge-computing services do not cause a significant increase in latencies $(lt 100$ ms), but that latency variation (11 - 192 ms) remains a problem in the first new network configurations.
{"title":"5G Network Performance Experiments for Automated Car Functions","authors":"M. Kutila, K. Kauvo, Petri Aalto, V. Martinez, M. Niemi, Yinxiang Zheng","doi":"10.1109/5GWF49715.2020.9221295","DOIUrl":"https://doi.org/10.1109/5GWF49715.2020.9221295","url":null,"abstract":"This article discusses the results of supporting transition towards fully automated driving with remote operator support via the novel V2X channels. Automated passenger cars are equipped with multiple sensors (radars, cameras, LiDARs, inertia, GNSS, etc.), the operation of which is limited by weather, detection range, processing power and resolution. The study explores the use of a dedicated network for supporting automated driving needs. The MEC server latencies and bandwidths are compared between the Tampere, Finland test network and studies conducted in China to support remote passenger car operation. In China the main aim is to evaluate the network latencies in different communication planes, whereas the European focus is more on associated driving applications, thus making the two studies mutually complementary.5G revolutionizes connected driving, providing new avenues due to having lower and less latency variation and higher bandwidths. However, due to higher operating frequencies, network coverage is a challenge and one base station is limited to a few hundred meters and thus they deployed mainly to cities with a high population density. Therefore, the transport solutions are lacking so-called C-V2X (one form of 5G RAT) to enable data exchanges between vehicles (V2V) and also between vehicles and the digital infrastructure (V2I). The results of this study indicate that new edge-computing services do not cause a significant increase in latencies $(lt 100$ ms), but that latency variation (11 - 192 ms) remains a problem in the first new network configurations.","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"161 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113989075","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: 10.1109/5gwf49715.2020.9221449
{"title":"[Copyright notice]","authors":"","doi":"10.1109/5gwf49715.2020.9221449","DOIUrl":"https://doi.org/10.1109/5gwf49715.2020.9221449","url":null,"abstract":"","PeriodicalId":232687,"journal":{"name":"2020 IEEE 3rd 5G World Forum (5GWF)","volume":"10 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":"124450434","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：