Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188286
S. P. Sanon, C. Lipps, H. Schotten
Fully Homomorphic Encryption (FHE) is a cryp-tographic technique that enables secure computation over en-crypted data. It has been considered as a promising solution to provide secure and privacy-preserving Fifth Generation (5G) wireless network traffic prediction. However, one of the main challenges of using FHE is the precision loss occurring during the homomorphic computations which can have an impact on network planning and optimization, Quality of Service (QoS) management, and security monitoring. Therefore, this paper discusses the effect of precision loss in 5G wireless network traffic prediction. The result of the underlying study provides experimental upper and lower bounds of the precision loss as well as the selection of an appropriate precision parameter to balance the trade-off between performance and computational cost. All practical FHE schemes are based on a mathematical problem that appears to be resistant to quantum computers meaning that the work in this paper will be valid for future wireless generations even in the quantum era.
{"title":"Fully Homomorphic Encryption: Precision Loss in Wireless Mobile Communication","authors":"S. P. Sanon, C. Lipps, H. Schotten","doi":"10.1109/EuCNC/6GSummit58263.2023.10188286","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188286","url":null,"abstract":"Fully Homomorphic Encryption (FHE) is a cryp-tographic technique that enables secure computation over en-crypted data. It has been considered as a promising solution to provide secure and privacy-preserving Fifth Generation (5G) wireless network traffic prediction. However, one of the main challenges of using FHE is the precision loss occurring during the homomorphic computations which can have an impact on network planning and optimization, Quality of Service (QoS) management, and security monitoring. Therefore, this paper discusses the effect of precision loss in 5G wireless network traffic prediction. The result of the underlying study provides experimental upper and lower bounds of the precision loss as well as the selection of an appropriate precision parameter to balance the trade-off between performance and computational cost. All practical FHE schemes are based on a mathematical problem that appears to be resistant to quantum computers meaning that the work in this paper will be valid for future wireless generations even in the quantum era.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"164 1","pages":"466-471"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86437246","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188265
Frank von Schoettler, Eike Lyczkowski, Z. Hua, Patrick Matalla, S. Randel
The advent of industry 4.0 sets high and divers requirements for wireless communications. Visible light communication (VLC) is a technology that is able to address a set of those requirements. Within the area of VLC, we focus on optical camera communication (OCC) with a light emitting diode (LED) as sender and a complementary metal-oxide-semiconductor (CMOS) image sensor as receiver. The rolling shutter mechanism of the CMOS image sensor allows the system to achieve higher symbol rate than the frame rate. However, the sampling frequency of the rolling shutter is an unknown parameter that varies between smartphone models and therefore needs to be estimated if the system is required to work with a wide range of CMOS cameras. In this work, a non-data aided (NDA) digital timing synchronization algorithm employing a rolling shutter image sensor was analyzed using a spectral approach for application in an OCC system. The algorithm viability and wide applicability was demonstrated using the cameras of six different smartphone models.
{"title":"Timing Synchronization for Smartphone-Based Optical Camera Communication","authors":"Frank von Schoettler, Eike Lyczkowski, Z. Hua, Patrick Matalla, S. Randel","doi":"10.1109/EuCNC/6GSummit58263.2023.10188265","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188265","url":null,"abstract":"The advent of industry 4.0 sets high and divers requirements for wireless communications. Visible light communication (VLC) is a technology that is able to address a set of those requirements. Within the area of VLC, we focus on optical camera communication (OCC) with a light emitting diode (LED) as sender and a complementary metal-oxide-semiconductor (CMOS) image sensor as receiver. The rolling shutter mechanism of the CMOS image sensor allows the system to achieve higher symbol rate than the frame rate. However, the sampling frequency of the rolling shutter is an unknown parameter that varies between smartphone models and therefore needs to be estimated if the system is required to work with a wide range of CMOS cameras. In this work, a non-data aided (NDA) digital timing synchronization algorithm employing a rolling shutter image sensor was analyzed using a spectral approach for application in an OCC system. The algorithm viability and wide applicability was demonstrated using the cameras of six different smartphone models.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"4 1","pages":"311-316"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74420307","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188252
Christopher Mollén, Gábor Fodor, R. Baldemair, J. Huschke, Julia Vinogradova
Joint communication and sensing (JCAS) systems use the same spectrum, hardware and antenna resources to jointly provide spectrally efficient communication, localization and sensing services. While previous work has analyzed the performance of communication with connected objects and localization of unconnected (passive) objects, the joint positioning of both connected and passive objects is less studied. In this paper, we consider a JCAS cellular system using orthogonal frequency-division multiplexing, in which the uplink communication signal is scattered on a moving target towards multiple receiving base stations. In this setting, multistatic sensing by cooperating base stations makes it possible to position the moving target while also positioning the transmitting user equipment based on the received communication signal at the base stations. We propose a channel model that can characterize the propagation of both the communication and sensing signals, and algorithms that facilitate the estimation of direction of arrivals and range, which in turn enables the system to infer the positions of both the communicating user and the passive target. We also show some illustrative results from the algorithms that indicate what such joint positioning practically can look like.
{"title":"Joint Multistatic Sensing of Transmitter and Target in OFDM-Based JCAS System","authors":"Christopher Mollén, Gábor Fodor, R. Baldemair, J. Huschke, Julia Vinogradova","doi":"10.1109/EuCNC/6GSummit58263.2023.10188252","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188252","url":null,"abstract":"Joint communication and sensing (JCAS) systems use the same spectrum, hardware and antenna resources to jointly provide spectrally efficient communication, localization and sensing services. While previous work has analyzed the performance of communication with connected objects and localization of unconnected (passive) objects, the joint positioning of both connected and passive objects is less studied. In this paper, we consider a JCAS cellular system using orthogonal frequency-division multiplexing, in which the uplink communication signal is scattered on a moving target towards multiple receiving base stations. In this setting, multistatic sensing by cooperating base stations makes it possible to position the moving target while also positioning the transmitting user equipment based on the received communication signal at the base stations. We propose a channel model that can characterize the propagation of both the communication and sensing signals, and algorithms that facilitate the estimation of direction of arrivals and range, which in turn enables the system to infer the positions of both the communicating user and the passive target. We also show some illustrative results from the algorithms that indicate what such joint positioning practically can look like.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"47 1","pages":"144-149"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75066966","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188337
Anastasios-Stavros Charismiadis, Jorge Moratinos Salcines, D. Tsolkas, David Artunedo Guillen, Javier Garcia Rodrigo
The 3GPP Common API Framework (CAPIF) has been an integral part of the 3GPP SA6 specifications. It has been defined to facilitate the network core exposure, towards new application enablers of various vertical industries (including, Unmanned aerial systems, Edge data networks, Factories of the future, and Vehicular communication systems). Beyond its initial target, we believe that CAPIF can be used as a key standardized API-management framework for secure and interoperable interaction among any API providers and API consumers. In this direction, we developed the CAPIF services, and we provide them as open-source code. Beyond its full compliance with the specifications, our implementation is accompanied by test plans and ready to use templates. Finally, as a proof-of-concept evaluation, we describe how CAPIF services have been applied successfully to an event management system.
{"title":"The 3GPP Common API framework: Open-source release and application use cases","authors":"Anastasios-Stavros Charismiadis, Jorge Moratinos Salcines, D. Tsolkas, David Artunedo Guillen, Javier Garcia Rodrigo","doi":"10.1109/EuCNC/6GSummit58263.2023.10188337","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188337","url":null,"abstract":"The 3GPP Common API Framework (CAPIF) has been an integral part of the 3GPP SA6 specifications. It has been defined to facilitate the network core exposure, towards new application enablers of various vertical industries (including, Unmanned aerial systems, Edge data networks, Factories of the future, and Vehicular communication systems). Beyond its initial target, we believe that CAPIF can be used as a key standardized API-management framework for secure and interoperable interaction among any API providers and API consumers. In this direction, we developed the CAPIF services, and we provide them as open-source code. Beyond its full compliance with the specifications, our implementation is accompanied by test plans and ready to use templates. Finally, as a proof-of-concept evaluation, we describe how CAPIF services have been applied successfully to an event management system.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"9 1","pages":"472-477"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77428316","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188248
Cara Watermann, Philipp Geuer, H. Wiemann, Roman Zhohov, Alexandros Palaios
As cellular networks evolve towards the 6th generation, new schemes are proposed in the area of Quality of Service (QoS) assurance. In recent years, predicting QoS gained some momentum as a way of satisfying specific connectivity requirements, supporting service assurance, and estimating the Quality of Experience (QoE). The QoS requirements to guarantee a certain QoE differ per use case, and hence depend on a multitude of factors, e.g., selecting an appropriate cell that can guarantee specific QoS requirements. Machine Learning (ML) is proposed as a method to improve network capabilities for QoE assurance by the use of predictive Quality of Service (pQoS). This in return can improve the offered QoS, reduce latency by selecting the most appropriate cell quickly, and improve the load-balancing at the network. The adoption of ML depends heavily on removing some of the roadblocks of applying ML in commercial networks. For example, ML-based algorithms are known to depend on a large amount of data, which might increase the usage of signaling and the battery consumption at the User Equipment (UE). We present an ML framework that can enable many of the aforementioned network capabilities, which does not require the introduction of new signaling types or proprietary data collection procedures. We showcase the benefits of the ML framework on an inter-frequency load balancing use case and discuss how ML can improve UE and network performance. Finally, we highlight the need to introduce the expected interference to the UE as an input feature for further improving QoS prediction performance. We test the performance of the prediction framework on data coming from a test network and evaluate the effects of e.g., different prediction thresholds.
{"title":"Towards a 3GPP Network-based Framework for Improving Service Assurance and Load Balancing","authors":"Cara Watermann, Philipp Geuer, H. Wiemann, Roman Zhohov, Alexandros Palaios","doi":"10.1109/EuCNC/6GSummit58263.2023.10188248","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188248","url":null,"abstract":"As cellular networks evolve towards the 6th generation, new schemes are proposed in the area of Quality of Service (QoS) assurance. In recent years, predicting QoS gained some momentum as a way of satisfying specific connectivity requirements, supporting service assurance, and estimating the Quality of Experience (QoE). The QoS requirements to guarantee a certain QoE differ per use case, and hence depend on a multitude of factors, e.g., selecting an appropriate cell that can guarantee specific QoS requirements. Machine Learning (ML) is proposed as a method to improve network capabilities for QoE assurance by the use of predictive Quality of Service (pQoS). This in return can improve the offered QoS, reduce latency by selecting the most appropriate cell quickly, and improve the load-balancing at the network. The adoption of ML depends heavily on removing some of the roadblocks of applying ML in commercial networks. For example, ML-based algorithms are known to depend on a large amount of data, which might increase the usage of signaling and the battery consumption at the User Equipment (UE). We present an ML framework that can enable many of the aforementioned network capabilities, which does not require the introduction of new signaling types or proprietary data collection procedures. We showcase the benefits of the ML framework on an inter-frequency load balancing use case and discuss how ML can improve UE and network performance. Finally, we highlight the need to introduce the expected interference to the UE as an input feature for further improving QoS prediction performance. We test the performance of the prediction framework on data coming from a test network and evaluate the effects of e.g., different prediction thresholds.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"282 1","pages":"430-435"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76808628","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188278
Charbel Lahoud, Shahab Ehsanfar, K. Moessner
In this paper, we present a comprehensive evaluation of two prominent low-power wide-area networks (LPWAN) tech-nologies, low power long range alliance (LoRa) and narrow-band internet-of-things (NB-IoT), which are widely used in the internet-of-things (IoT) sector. We investigate their performance under challenging conditions, specifically in a scenario where the signal is subject to non-line-of-sight (NLOS) reception caused by signal diffraction. Additionally, we analyze the potential application challenges and use cases for each technology and provide insight into which technology is more suitable for specific scenarios. Our findings aim to inspire future researchers and manufacturers in the field of LPWAN and IoT.
{"title":"An Experimental Comparison of LoRa versus NB-IoT over Unlicensed Spectrum using Software Defined Radio","authors":"Charbel Lahoud, Shahab Ehsanfar, K. Moessner","doi":"10.1109/EuCNC/6GSummit58263.2023.10188278","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188278","url":null,"abstract":"In this paper, we present a comprehensive evaluation of two prominent low-power wide-area networks (LPWAN) tech-nologies, low power long range alliance (LoRa) and narrow-band internet-of-things (NB-IoT), which are widely used in the internet-of-things (IoT) sector. We investigate their performance under challenging conditions, specifically in a scenario where the signal is subject to non-line-of-sight (NLOS) reception caused by signal diffraction. Additionally, we analyze the potential application challenges and use cases for each technology and provide insight into which technology is more suitable for specific scenarios. Our findings aim to inspire future researchers and manufacturers in the field of LPWAN and IoT.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"1 1","pages":"652-657"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79921388","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188306
Enrique T. R. Pinto, V. Tapio, Markku J. Juntti
Signal degradation caused by receiver in-phase/quadrature (IQ) processing branch imbalance (IQI) is known to increase bit error rates, and deteriorate both angle of arrival (AoA) and ranging estimation accuracies. In this paper, we present an IQI compensation procedure that leverages a pilot sequence to propose an IQI compensation method, which tolerates time synchronization errors. We then explore a single anchor positioning problem and show that the proposed procedure is effective in improving the position estimation accuracy. We evaluate its performance via computer simulations. The results show that the scheme outperforms an earlier method, which is blind in the sense that it does not capitalize the pilot sequence availability.
{"title":"IQ Imbalance Compensation with a Pilot Sequence","authors":"Enrique T. R. Pinto, V. Tapio, Markku J. Juntti","doi":"10.1109/EuCNC/6GSummit58263.2023.10188306","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188306","url":null,"abstract":"Signal degradation caused by receiver in-phase/quadrature (IQ) processing branch imbalance (IQI) is known to increase bit error rates, and deteriorate both angle of arrival (AoA) and ranging estimation accuracies. In this paper, we present an IQI compensation procedure that leverages a pilot sequence to propose an IQI compensation method, which tolerates time synchronization errors. We then explore a single anchor positioning problem and show that the proposed procedure is effective in improving the position estimation accuracy. We evaluate its performance via computer simulations. The results show that the scheme outperforms an earlier method, which is blind in the sense that it does not capitalize the pilot sequence availability.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"16 1","pages":"138-143"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89052300","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188325
Benoît-Marie Robaglia, M. Coupechoux, D. Tsilimantos, Apostolos Destounis
Recent studies suggest that Multi-Agent Reinforcement Learning (MARL) can be a promising approach to tackle wireless telecommunication problems and Multiple Access (MA) in particular. The most relevant MARL algorithms for distributed MA are those with “decentralized execution”, where an agent's actions are only functions of their own local observation history and agents cannot exchange any information. Centralized- Training-Decentralized-Execution (CTDE) and Independent Learning (IL) are the two main families in this category. However, while the former suffers from high communication overhead during the centralized training, the latter suffers from various theoretical shortcomings. In this paper, we first study the performance of these two MARL frameworks in the context of Ultra Reliable Low Latency Communication (URLLC), where MA is constrained by strict deadlines. Second, we propose a new distributed MARL framework, namely SeqDQN, leveraging the constraints of our URLLC problem to train agents in a more efficient way. We demonstrate that not only does our solution outperform the traditional random access baselines, but it also outperforms state-of-the-art MARL algorithms in terms of performance and convergence time.
{"title":"SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines","authors":"Benoît-Marie Robaglia, M. Coupechoux, D. Tsilimantos, Apostolos Destounis","doi":"10.1109/EuCNC/6GSummit58263.2023.10188325","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188325","url":null,"abstract":"Recent studies suggest that Multi-Agent Reinforcement Learning (MARL) can be a promising approach to tackle wireless telecommunication problems and Multiple Access (MA) in particular. The most relevant MARL algorithms for distributed MA are those with “decentralized execution”, where an agent's actions are only functions of their own local observation history and agents cannot exchange any information. Centralized- Training-Decentralized-Execution (CTDE) and Independent Learning (IL) are the two main families in this category. However, while the former suffers from high communication overhead during the centralized training, the latter suffers from various theoretical shortcomings. In this paper, we first study the performance of these two MARL frameworks in the context of Ultra Reliable Low Latency Communication (URLLC), where MA is constrained by strict deadlines. Second, we propose a new distributed MARL framework, namely SeqDQN, leveraging the constraints of our URLLC problem to train agents in a more efficient way. We demonstrate that not only does our solution outperform the traditional random access baselines, but it also outperforms state-of-the-art MARL algorithms in terms of performance and convergence time.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"31 1","pages":"623-628"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88463328","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188287
B. Ahmad, D. Riviello, A. Guidotti, A. Vanelli-Coralli
In this paper, we study the user scheduling prob-lem in a Low Earth Orbit (LEO) Multi-User Multiple-Input-Multiple-Output (MIMO) system. We propose an iterative graph-based maximum clique scheduling approach, in which users are grouped together based on a dissimilarity measure and served by the satellite via space-division multiple access (SDMA) by means of Minimum Mean Square Error (MMSE) digital beamforming on a cluster basis. User groups are then served in different time slots via time-division multiple access (TDMA). As dissimilarity measure, we consider both the channel coefficient of correlation and the users' great circle distance. A heuristic optimization of the optimal cluster size is performed in order to maximize the system capacity. To further validate our analysis, we compare our proposed graph-based schedulers with the well-established algorithm known as Multiple Antenna Downlink Orthogonal clustering (MADOC). Results are presented in terms of achievable per-user capacity and show the superiority in performance of the proposed schedulers w.r.t. MADOC.
{"title":"Graph-Based User Scheduling Algorithms for LEO-MIMO Non-Terrestrial Networks","authors":"B. Ahmad, D. Riviello, A. Guidotti, A. Vanelli-Coralli","doi":"10.1109/EuCNC/6GSummit58263.2023.10188287","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188287","url":null,"abstract":"In this paper, we study the user scheduling prob-lem in a Low Earth Orbit (LEO) Multi-User Multiple-Input-Multiple-Output (MIMO) system. We propose an iterative graph-based maximum clique scheduling approach, in which users are grouped together based on a dissimilarity measure and served by the satellite via space-division multiple access (SDMA) by means of Minimum Mean Square Error (MMSE) digital beamforming on a cluster basis. User groups are then served in different time slots via time-division multiple access (TDMA). As dissimilarity measure, we consider both the channel coefficient of correlation and the users' great circle distance. A heuristic optimization of the optimal cluster size is performed in order to maximize the system capacity. To further validate our analysis, we compare our proposed graph-based schedulers with the well-established algorithm known as Multiple Antenna Downlink Orthogonal clustering (MADOC). Results are presented in terms of achievable per-user capacity and show the superiority in performance of the proposed schedulers w.r.t. MADOC.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"8 1","pages":"270-275"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87552026","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188333
H. Kokkinen, A. Piemontese, Arto Reis-Kivinen, Lukasz Kulacz, Nathan Borios, Carla Amatetti
Satellite communication systems are fundamental components to deploy the future smart and sustainable networks and to achieve the ambitious goal of bringing wireless connectivity anywhere, anytime, at any device. In this new role, one of the main challenges that satellite communication component has to face is the maximization of the spectrum usage. 3GPP communication technologies are extended from Terrestrial Networks (TNs) to Non-Terrestrial Networks (NTNs), but so far the standardisation efforts have been focused on systems where TNs and NTNs operate in their dedicated frequency bands. In this paper, a dynamic spectrum sharing model between NTN elements, in a Non Geostationary orbit, and TN is proposed. A Proof of Concept (PoC) is developed, in order to carry out the interference protection computation. We show that the developed spectrum sharing model can enable spectrum sharing between NTN and TN when their coverage areas do not have to overlap, that the sharing arrangement increases significantly the service coverage in the frequency band and slightly improves the spectrum utilization efficiency. It is also shown that the spectrum management system is able to manage the interference level and to keep the interference-to-noise ratio at the TN user equipment below the specified limit. In fact, the aggregate interference caused by the sharing arrangement does not decrease the capacity of the TN downlink.
{"title":"Proof of Concept for Spectrum Sharing between Terrestrial and Satellite Networks","authors":"H. Kokkinen, A. Piemontese, Arto Reis-Kivinen, Lukasz Kulacz, Nathan Borios, Carla Amatetti","doi":"10.1109/EuCNC/6GSummit58263.2023.10188333","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188333","url":null,"abstract":"Satellite communication systems are fundamental components to deploy the future smart and sustainable networks and to achieve the ambitious goal of bringing wireless connectivity anywhere, anytime, at any device. In this new role, one of the main challenges that satellite communication component has to face is the maximization of the spectrum usage. 3GPP communication technologies are extended from Terrestrial Networks (TNs) to Non-Terrestrial Networks (NTNs), but so far the standardisation efforts have been focused on systems where TNs and NTNs operate in their dedicated frequency bands. In this paper, a dynamic spectrum sharing model between NTN elements, in a Non Geostationary orbit, and TN is proposed. A Proof of Concept (PoC) is developed, in order to carry out the interference protection computation. We show that the developed spectrum sharing model can enable spectrum sharing between NTN and TN when their coverage areas do not have to overlap, that the sharing arrangement increases significantly the service coverage in the frequency band and slightly improves the spectrum utilization efficiency. It is also shown that the spectrum management system is able to manage the interference level and to keep the interference-to-noise ratio at the TN user equipment below the specified limit. In fact, the aggregate interference caused by the sharing arrangement does not decrease the capacity of the TN downlink.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"72 1","pages":"276-281"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87807801","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：