Results

@inproceedings{Kandukuri2021,

title = {Software-defined Transmit Array Radio Platform for 5G Wireless Communications},

author = {Somasekhar Kandukuri and Jean-Baptiste Dor\'{e} and David Demmer and Benoit Miscopein

},

year  = {2021},

date = {2021-11-03},

urldate = {2021-11-03},

booktitle = {IEEE International Conference on Communications 2022, ICC22

},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Chung2021b,

title = {Demonstration of service continuity based on multi-connectivity with cellular and satellite access networks},

author = {Heesang Chung and Junhyeong Kim and Gosan Noh and Seok Ho Won and Taesang Choi and Ilgyu Kim

},

doi = {10.1109/ICTC52510.2021.9621102},

year  = {2021},

date = {2021-10-24},

urldate = {2021-10-24},

booktitle = {2021 International Conference on Information and Communication Technology Convergence (ICTC)},

abstract = {Multi-connectivity (MC) with multi-RAT (Radio Access Technology) can be used to enhance data throughput and reliability of wireless communication systems. A Korea-EU joint research named 5G-ALLSTAR has been pursuing a variety of service scenarios with multi-connectivity, and service continuity is one of the most important ones to be proven. The multi-RAT in the 5G-ALLSTAR is comprised of a mmWave-based 5G cellular access network and a satellite access network. We integrated these systems into an MC testbed and validated it to prove the concept and the feasibility of the service continuity. Specifically, we focused on the demonstration of video streaming services which the service continuity can be clearly verified with. To aggregate the data traffic of each RAT, an IP layer traffic controller has been adopted. Testing with the integrated MC testbed showcased the concept of the service continuity successfully.

},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Dor\'{e}2021b,

title = {FPGA Implementation of a Wideband Multi-Gb/s 5G BF-OFDM Transceiver},

author = {Jean-Baptiste Dor\'{e} and Marc Laugeois and Nicolas Cassiau and Xavier Popon

},

doi = {10.1109/EuCNC/6GSummit51104.2021.9482424},

year  = {2021},

date = {2021-07-28},

urldate = {2021-07-28},

booktitle = {2021 Joint European Conference on Networks and Communications   6G Summit (EuCNC/6G Summit)},

pages = {502--507},

publisher = {IEEE},

abstract = {This paper describes a Field Programmable Gate Array (FPGA) implementation of a multi-Gb/s Block Filtered (BF) OFDM transceiver, fully 5G NR compatible. The main obstacles for such a work are (i) the support of multiple configurations and parameters, (ii) the high bandwidth w.r.t the board clock frequency and (iii) the intrinsic complexity of BF-OFDM. We prove that despite these barriers an hardware implementation of this waveform is possible, even with a bandwidth up to 400 MHz. We based our developments on the following pillars: smart layout of the basic modules, parallelization of dedicated functions design and ad hoc architecture. Measurements and complexity analysis demonstrate the high flexibility of BF-OFDM.},

keywords = {5G, BF-OFDM, FPGA, parallelization, wideband},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Hierarchical RL for Load Balancing and QoS Management in Multi-Access Networks},

author = {Antonio Ornatelli and Andrea Tortorelli and Alessandro Giuseppi and Francesco Delli Priscoli

},

doi = {10.1109/MED51440.2021.9480246},

year  = {2021},

date = {2021-07-15},

urldate = {2021-07-15},

booktitle = {2021 29th Mediterranean Conference on Control and Automation (MED)

},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {A Distributed Reinforcement Learning approach for Power Control in Wireless Networks},

author = {Antonio Ornatelli and Andrea Tortorelli and Francesco Liberati

},

doi = {10.1109/AIIoT52608.2021.9454208},

year  = {2021},

date = {2021-06-21},

urldate = {2021-06-21},

booktitle = {2021 IEEE World AI IoT Congress (AIIoT)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks},

author = {Antonio Ornatelli and Andrea Tortorelli and Alessandro Giuseppi

},

doi = {10.1109/UEMCON51285.2020.9298113},

year  = {2020},

date = {2020-12-25},

urldate = {2020-12-25},

booktitle = {2020 11th IEEE Annual Ubiquitous Computing, Electronics \& Mobile Communication Conference (UEMCON)

},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Giuseppi2020e,

title = {Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems},

author = {Alessandro Giuseppi and Syed Maaz Shahid and Emanuele De Santis and Seok Ho Won and Sungoh Kwon and Taesang Choi},

doi = {10.1109/ICTC49870.2020.9289485},

issn = {2162-1233},

year  = {2020},

date = {2020-12-21},

booktitle = {2020 International Conference on Information and Communication Technology Convergence (ICTC)},

publisher = {IEEE},

abstract = {This paper introduces algorithms for the multi-RAT load balancing function to maximize QoE in terrestrial and satellite combined system developed in the 5G-ALLSTAR project. The pros and cons of the considered algorithms are described and the simulator is also described in the paper with the on-going performance evaluation processes.},

keywords = {5G, load-balancing, multi-connectivity, multi-RAT, Satellite-terrestrial communication},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Jaeckel2020,

title = {A 5G-NR Satellite Extension for the QuaDRiGa Channel Model},

author = {Stephan Jaeckel and Leszek Raschkowski and Lars Thiele},

url = {https://arxiv.org/abs/2010.01002},

year  = {2020},

date = {2020-10-01},

urldate = {2020-10-01},

booktitle = {IEEE 93rd Vehicular Technology Conference: VTC2021-Spring},

abstract = {Low Earth orbit (LEO) satellite networks will become an integral part of the global telecommunication infrastructure. Modeling the radio-links of these networks and their interaction with existing terrestrial systems is crucial for the design, planning and scaling of these networks. The 3rd generation partnership project (3GPP) addressed this by providing guideline for such a radio-channel model. However, the proposed model lacks a satellite orbit model and has some inconsistencies in the provided parameters. This is addressed in this paper. We provide a non-geostationary-satellite model that can be integrated into geometry-based stochastic channel models (GSCMs) such as QuaDRiGa. We then use this model to obtain the GSCM parameters from a simplified environment model and compare the results to the 3GPP parameter-set. This solves the inconsistencies, but our simplified approach does not consider many propagation effects. Future work must therefore rely on measurements or accurate Ray-tracing models to obtain the parameters.},

keywords = {5G, channel model, QuaDRiGa, satellite},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Ornatelli2020b,

title = {User-aware centralized resource allocation in heterogeneous networks},

author = {Antonio Ornatelli and Alessandro Giuseppi and Vincenzo Suraci and Andrea Tortorelli},

doi = {10.1109/MED48518.2020.9183080},

year  = {2020},

date = {2020-09-01},

urldate = {2020-09-01},

booktitle = {2020 28th Mediterranean Conference on Control and Automation},

abstract = {In the last two years, in Europe, 5G networks and services proliferated. The integration of 5G networks with other radio access networks is considered one of the key enablers for matching the challenging 5G Quality of Service requirements. In particular, the integration with high throughput satellites promises to increase the network performances in terms of resilience and Quality of Service. The present work addresses this problem and presents a user-aware resource allocation methodology for heterogeneous networks. Said methodology is articulated in two-steps: at first, the Analytical Hierarchy Process is used for deciding the network over which traffic is steered and, then, a Cooperative Game for allocating resources within the network is set up. Simulations are presented for validating the proposed approach.},

keywords = {heterogeneous network, resource allocation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Giuseppi2020f,

title = {Traffic steering and network selection in 5G networks based on Reinforcement Learning},

author = {Alessandro Giuseppi and Antonio Pietrabissa and Francesco Liberati and Roberto German\`{a} and Francesco Delli Priscoli},

doi = {10.23919/ECC51009.2020.9143837},

year  = {2020},

date = {2020-07-20},

urldate = {2020-07-20},

booktitle = {European Control Conference 2020},

abstract = {This paper presents a controller for the problem of Network Selection in 5G Networks, based on Reinforcement Learning. The problem of Network Selection and Traffic Steering is modeled as a Markov Decision Process and a Q- Learning based control solution is designed to meet 5G requirements, such as Quality of Experience (QoE) maximization, Quality of Service (QoS) assurance and load balancing. Numerical simulations preliminarily validate the proposed approach on a simulated scenario considered in the European project H2020 5G-ALLSTAR.},

keywords = {5G, Network Selection, reinforcement learning, traffic steering},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ma2020a,

title = {Characterization for High-Speed Railway Channel enabling Smart Rail Mobility at 22.6 GHz},

author = {Lei Ma and Ke Guan and Dong Yan and Danping He and Bo Ai and Junhyeong Kim and Heesang Chung},

doi = {10.1109/WCNC45663.2020.9120474},

issn = {1558-2612},

year  = {2020},

date = {2020-05-01},

urldate = {2020-05-01},

booktitle = {2020 IEEE Wireless Communications and Networking Conference (WCNC)},

pages = {1-6},

abstract = {The millimeter wave (mmWave) communication with large bandwidth is a key enabler for both the fifth-generation mobile communication system (5G) and smart rail mobility. Thus, in order to provide realistic channel fundamental, the wireless channel at 22.6 GHz is characterized for a typical high-speed railway (HSR) environment in this paper. After importing the three-dimensional environment model of a typical HSR scenario into a self-developed high-performance cloud-computing Ray-Tracing platform \textendash CloudRT, extensive raytracing simulations are realized. Based on the results, the HSR channel characteristics are extracted and analyzed, considering the extra loss of various weather conditions. The results of this paper can help for the design and evaluation for the HSR communication systems enabling smart rail mobility.},

keywords = {5G, High-speed railway, mmWave, radio propagation, ray-tracing, smart rail mobility},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kim2020,

title = {5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G and Beyond},

author = {Junhyeong Kim and Guido Casati and Antonio Pietrabissa and Alessandro Giuseppi and Emilio Calvanese Strinati and Nicolas Cassiau and Gosan Noh and Heesang Chung and Ilgyu Kim and Marjorie Thary and Jean-Michel Houssin and Federico Pigni and Sylvain Colombero and Pierre Dal Zotto and Leszek Raschkowski and Stephan Jaeckel},

doi = {10.1109/WCNCW48565.2020.9124751},

year  = {2020},

date = {2020-04-01},

urldate = {2020-04-01},

booktitle = {2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)},

pages = {1-6},

abstract = {This paper provides an overview of recent research activities of the 5G AgiLe and fLexible integration of SaTellite And cellulaR (5G-ALLSTAR) project which aims to develop Multi-Connectivity technology that integrates the cellular and satellite networks to provide seamless, reliable and ubiquitous broadband services. 5G-ALLSTAR also entails developing millimeter-wave (mmWave) 5G New Radio (NR)-based cellular access system and investigating the feasibility of NR-based satellite access for providing broadband and reliable 5G services. In addition, spectrum sharing between cellular and satellite networks is studied. With all the technologies developed, 5G-ALLSTAR will showcase the first fully integrated satellite and cellular prototype system for 5G and beyond 5G (B5G) services at a big event (e.g., sporting event like Roland-Garros) in 2021. This paper also provides a preliminary techno-economic analysis on potential use cases targeting vertical markets, and introduces recent standardization activities of relevance.},

keywords = {5G-ALLSTAR, millimeter wave, multi-connectivity, New Radio, satellite, vehicular communications},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Giuseppi2020b,

title = {Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning},

author = {Alessandro Giuseppi and Emanuele De Santis and Francesco Delli Priscoli and Seok Ho Won and Taesang Choi and Antonio Pietrabissa},

doi = {10.1109/WCNCW48565.2020.9124723},

year  = {2020},

date = {2020-04-01},

urldate = {2020-04-01},

booktitle = {2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)},

pages = {1-5},

abstract = {This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a distributed control architecture that sees the various access points compete for the allocation of the connection requests. Numerical simulations validate conceptually the approach, developed in the scope of the EU-Korea project 5G-ALLSTAR},

keywords = {5G, Markov Games, Multi-Agent Reinforcement Learning, Network Selection},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2020,

title = {Millimeter-Wave Channel Characterization for Vehicle-to-Infrastructure Communication},

author = {Lina Wu and Danping He and Ke Guan and Bo Ai and Junhyeong Kim and Heesang Chung},

doi = {10.23919/EuCAP48036.2020.9136022},

year  = {2020},

date = {2020-03-01},

urldate = {2020-03-01},

booktitle = {2020 14th European Conference on Antennas and Propagation (EuCAP)},

pages = {1-5},

abstract = {The vehicle-to-infrastructure (V2I) communication can capture infrastructure data and provide travelers with real-time traffic information, which can significantly improve road safety. Millimeter-wave (mmWave) with large bandwidth has been introduced as a key technology to achieve ultra-reliable, low latency, and high-data-rate V2I communication. In this paper, the V2I communication in mmWave band (22.1GHz-23.lGHz) is characterized for typical urban and highway scenarios. By considering the different deployments involving overtaking and traffic flow, the simulations are conducted by employing the self-developed ray-tracing. The key channel parameters, including received power, Rician K-factor, root-mean-square delay spread and angular spreads, are analyzed and compared between different deployments. Moreover, the impacts of the multiple antennas and beam switching technologies at the vehicle are evaluated as well. This work aims to help the researchers understand the channel characteristics of the V2I communication in mmWave band and support communication system design for vehicular communications.},

keywords = {mmWave, radio propagation, ray-tracing, V2I communication},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cassiau:hal-02864733,

title = {Satellite and terrestrial multi-connectivity for 5G: making spectrum sharing possible},

author = {Nicolas Cassiau and Gosan Noh and Stephan Jaeckel and Leszek Raschkowski and Jean-Michel Houssin and Laurent Combelles and Marjorie Thary and Junhyeong Kim and Jean-Baptiste Dor\'{e} and Marc Laugeois},

url = {https://hal.archives-ouvertes.fr/hal-02864733},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

booktitle = {IEEE Wireless Communications and Networking Conference (WCNC 2020)},

address = {Seoul, South Korea},

abstract = {This paper reports the first results of the 5G-ALLSTAR project [1] aiming at providing solutions and enablers for spectrum sharing in a 5G cellular and satellite multi-connectivity context. First, we present an exhaustive study of the frequency bands eligible for these systems in the short and medium term. A ray-tracing based and a geometry-based stochastic channel models developed in the project are then described. These models can be used to simulate systems involving terrestrial and non-terrestrial networks. We then describe three different ways investigated in the project for managing interference: signal processing (hardware implementation of a 5G New Radio compatible physical layer), beamforming (steering and switching beams in order to avoid the interference while preserving the spectral efficiency) and radio resource management (tool designed for joint optimization of satellite and terrestrial resource sharing).},

keywords = {5G, multi-connectivity, satellite, spectrum sharing},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Choi2020,

title = {Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G},

author = {Taesang Choi and Seok Ho Won and Alessandro Giuseppi and Antonio Pietrabissa and Sungoh Kwon},

doi = {10.1109/ICOIN48656.2020.9016484},

issn = {1976-7684},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

booktitle = {2020 International Conference on Information Networking (ICOIN)},

pages = {40-45},

abstract = {Multi-RAT access network, or heterogeneous access network, is considered to be the key enabling technology to satisfy the 5G requirements, such as high data rate, ultra-low latency and reliability. To make efficient use of all the available network resources, various research activities on multi-connectivity have been proposed to simultaneously connect, steer, and orchestrate across multiple different radio access technologies. Standardization of the management and orchestration of multi-connectivity environment, however, has just been initiated, thus further research and development is required. This paper proposes a novel management and orchestration architecture for integrated access of satellite and terrestrial in 5G. It especially focuses on the traffic steering and load-balancing of heterogeneous multi-RAT access environment.},

keywords = {5G, Computer architecture, heterogeneous network, high data rate, integrated access, load-balancing, management and orchestration, management standardization, mobility management (mobile radio), multi-connectivity, multiple different radio access technologies, network resources, orchestration architecture, QoS/QoE management, Quality of experience, Quality of service, radio access networks, Rats, reliability, satellite, telecommunication traffic, traffic steering, ultra-low latency},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kim2019a,

title = {A Study on Frequency Planning of MN System for 5G Vehicular Communications},

author = {Junhyeong Kim and Sung-Woo Choi and Gosan Noh and Heesang Chung and Ilgyu Kim},

doi = {10.1109/ICTC46691.2019.8939787},

issn = {2162-1233},

year  = {2019},

date = {2019-10-01},

urldate = {2019-10-01},

booktitle = {2019 International Conference on Information and Communication Technology Convergence (ICTC)},

pages = {1442-1445},

abstract = {Recently in Korea, a research project has been launched to develop Moving Network (MN) system, which is a millimeter-wave (mmWave)-band vehicular communications system aiming to provide public transportation (e.g., city buses, express buses) with broadband mobile wireless backhaul (MWB). The MN system is designed to operate in Flexible Access Common Spectrum (FACS), which is the unlicensed band of 22-23.6 GHz that has been designated by the Korean government, thereby allowing onboard passengers to use Gigabit Wi-Fi for free. Although it is possible to utilize a very high bandwidth of 1.6 GHz in FACS, it is necessary to investigate the proper frequency planning (FP) for MN system that can effectively mitigate inter-cell interference (ICI) so as to optimize the system performance. For this reason, in this paper, we investigate three different FP strategies for MN system and conduct a simple performance evaluation. Simulation results show that as inter-site distance (ISD) gets closer, the reverse frequency reuse (R-FR)-based FP achieves better signal-to-interference-plus-noise ratio (SINR) and capacity performances than the other FPs.},

keywords = {5G, frequency planning, frequency reuse, Moving Network, vehicular communications},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8891407,

title = {A Spatially Consistent Geometric D2D Small-Scale Fading Model for Multiple Frequencies},

author = {Stephan Jaeckel and Leszek Raschkowski and Frank Burkhardt and Lars Thiele},

doi = {10.1109/VTCFall.2019.8891407},

issn = {2577-2465},

year  = {2019},

date = {2019-09-01},

urldate = {2019-09-01},

booktitle = {2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)},

pages = {1-5},

abstract = {The 3rd generation partnership project (3GPP) new radio (NR) channel model introduced spatial consistency and a correlation model for multiple frequencies. Future extensions of this model will incorporate mobility at both ends of the link. These features are essential for many emerging wireless technologies in the 5G era. However, the existing small-scale-fading (SSF) model does not integrate these features coherently. To solve this problem, we propose a new SSF model that seamlessly integrates with the remaining NR model and allows the simultaneous simulation of all three features. We demonstrate this integration by showing that the output of the new SSF model agrees well with large-scale fading (LSF) parameter distributions provided by 3GPP. This enables the simulation of new wireless technology proposals that were difficult to realize with existing geometry-based stochastic channel models (GSCMs).},

keywords = {channel model, D2D, spatial consistency},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8757021,

title = {Millimeter-Wave Communications for Smart Rail Mobility: From Channel Modeling to Prototyping},

author = {Ke Guan and Danping He and Bo Ai and Bile Peng and Andrej Hrovat and Junhyeong Kim and Zhangdui Zhong and Thomas K\"{u}rner},

doi = {10.1109/ICCW.2019.8757021},

issn = {2474-9133},

year  = {2019},

date = {2019-05-01},

urldate = {2019-05-01},

booktitle = {2019 IEEE International Conference on Communications Workshops (ICC Workshops)},

pages = {1-6},

abstract = {In this paper, we present an integration solution from channel modeling to prototyping, to realize millimeter-wave (mmWave) communications for smart rail mobility. In order to involve the railway features in the channel models, two mmWave channel models are established based on ray-tracing simulations in realistic railway scenarios. Moreover, the challenges raised by mmWave directional network under high mobility is overcome by our solutions concerning handover scheme, random access procedure, and beamforming strategies. By integrating these key enabling technologies, we prototype the mobile hotspot network (MHN) system which realizes 1.25 Gbps downlink data throughput in a subway line with the train speed of 80 km/h.},

keywords = {channel model, mmWave},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pham-Viet2019,

title = {Current Development of Vector Tracking Loops for Stand-Alone GNSS Receivers in Urban Canyons},

author = {Hung Pham-Viet and Sungoh Kwon and Seok Ho Won},

url = {https://www.eiric.or.kr/literature/ser_view.php?SnxGubun=INKO\&mode=total\&searchCate=literature\&gu=INME011A9\&cmd=qryview\&SnxIndxNum=221111\&rownum=\&totalCnt=1\&rownum=1\&q1_t=Q3VycmVudCBEZXZlbG9wbWVudCBvZiBWZWN0b3IgVHJhY2tpbmcgTG9vcHMgZm9yIFN0YW5kLUFsb25lIEdOU1MgUmVjZWl2ZXJzIGluIFVyYmFuIENhbnlvbnM=\&listUrl=L3NlYXJjaC9yZXN1bHQucGhwP1NueEd1YnVuPUlOS08mbW9kZT10b3RhbCZzZWFyY2hDYXRlPWxpdGVyYXR1cmUmcTE9Q3VycmVudCUyMERldmVsb3BtZW50JTIwb2YlMjBWZWN0b3IlMjBUcmFja2luZyUyMExvb3BzJTIwZm9yJTIwU3RhbmQtQWxvbmUlMjBHTlNTJTIwUmVjZWl2ZXJzJTIwaW4lMjBVcmJhbiUyMENhbnlvbnM=\&q1=Current+Development+of+Vector+Tracking+Loops+for+Stand-Alone+GNSS+Receivers+in+Urban+Canyons},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {KICS Winter Conference 2019},

publisher = {KICS},

abstract = {Recently, with the development of signal processing methods the accuracy of global navigation satellite system (GNSS) services has been improved. However, in urban environment, since the main challenges are multipath, non-line-ofsight (NLOS), weak signals and low accessibility to satellite in the sky, the positioning is unreliable, inaccuracy, therefore, it decreases the potential for various positioning applications. Vector-based tracking has been applied in modern GNSS receivers as the perfect approach instead of conventional tracking. This paper reviews the literature regarding the performance of vector-based methods applied in GNSS receivers under harsh environments. Under a range of conditions, the vector tracking loops demonstrate their robustness against many error sources in GNSS applications. Moreover, the development as well as the application of different methods based on vector tracking loop also rises a promising for further researches. The goad of paper is to provide the state of art relating to vector tracking loop for future approaches in positioning in urban canyons.},

keywords = {GNSS, satellite, vector tracking loops},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{miscopein:cea-01986524,

title = {Air Interface Challenges and Solutions for future 6G Networks},

author = {Benoit Miscopein and Jean-Baptiste Dor\'{e} and Emilio Calvanese Strinati and Dimitri Kt\'{e}nas and Sergio Barbarossa},

url = {https://hal-cea.archives-ouvertes.fr/cea-01986524},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {1st 6G Wireless Summit},

abstract = {5G networks are expected to be deployed in 2020 and are considered as a global game changer from a technological, economic, societal and environmental perspective with very aggressive performance levels in terms of latency, energy efficiency, wireless broadband capacity, elasticity, etc. Many experts say that the next big step for cellular networks is not 5G but its cloudification that will support the explosion of radically new services and applications ranging from immersive five-sense media to ambient sensing intelligence and a pervasive introduction of artificial intelligence. In our vision, the next generation of wireless systems will transform the 5G service-oriented networks into user and machine ad-hoc dynamic (re)configuration of network slices. This will be enabled by software-defined end-to-end solutions from the core to the radio access network, including the air interface as well as the RF and antenna systems which are envisioned as one of the keys to meet the user/service requirements. Users and machines will be indeed able to dynamically (re)configure network slices thanks to intelligent personal edges. This paper presents our perspective of the 6G air interface and raise the concept of software defined artificial intelligence and air interface (SD-AI 2) as a framework of 6G air interface. This concept is an extension of the one initially proposed for 5G [1]. Instead of a global optimized air interface, we envisage to bring agility and flexibility to air interface with the help of artificial intelligence and learning techniques to improve efficiency. The paper describes the proposed context and highlights the technical challenges at different levels.},

keywords = {6G, air interface, artificial intelligence, beyond 5G, mobile edge cloud},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lisi2019,

title = {Multi-Connectivity in 5G terrestrial-Satellite Networks: the 5G-ALLSTAR Solution},

author = {Federico Lisi and Giacinto Losquadro and Andrea Tortorelli and Antonio Ornatelli and Manuel Donsante},

url = {https://arxiv.org/abs/2004.00368

http://proceedings.kaconf.org/papers/2019/ka17_2.pdf},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {Ka and Broadband Communications, Navigation and Earth Observation Conference},

journal = {arXiv preprint arXiv:2004.00368},

abstract = {The 5G-ALLSTAR project is aimed at integrating Terrestrial and Satellite Networks for satisfying the highly challenging and demanding requirements of the 5G use cases. The integration of the two networks is a key feature to assure the service continuity in challenging communication situations (e.g., emergency cases, marine, railway, etc.) by avoiding service interruptions. The 5G-ALLSTAR project proposes to develop Multi-Connectivity (MC) solutions in order to guarantee network reliability and improve the throughput and latency for each connection between User Equipment (UE) and network. In the 5G-ALLSTAR vision, we divide the gNB in two entities: 1) gNB-CU (Centralized Unit) and 2) gNB-DU (Distributed Unit) The gNB-CU integrates an innovative Traffic Flow Control algorithm able to optimize the network resources by coordinating the controlled gNB-DUs resources, while implementing MC solutions. The MC permits to connect each UE with simultaneous multiple access points (even different radio access technologies). This solution leads to have independent gNB-DU/s that contain the RLC, MAC and PHY layers. The 5G-ALLSTAR MC algorithms offer advanced functionalities to RRC layer (in the gNB-CU) that is, in turn, able to set up the SDAP, the PDCP and the lower layers in gNB-DU. In this regard, the AI-based MC algorithms, implemented in gNB-CU, by considering the network performances in the UE surrounding environment as well as the UE QoS requirements, will dynamically select the most promising access points able to guarantee the fulfilment of the requirements also enabling the optimal traffic splitting to cope with the connection reliability. In this paper, we present also an innovative AI-based framework, included within the Traffic Flow Control, able to address the MC objectives, by implementing a Reinforcement Learning algorithm in charge of solving the network control problem.},

keywords = {5G, multi-connectivity, satellite},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8644076,

title = {Realistic Channel Characterization for 5G Millimeter-Wave Railway Communications},

author = {Ke Guan and Danping He and Bo Ai and Andrej Hrovatz and Junhyeong Kim and Zhangdui Zhong and Thomas K\"{u}rner},

doi = {10.1109/GLOCOMW.2018.8644076},

year  = {2018},

date = {2018-12-01},

urldate = {2018-12-01},

booktitle = {2018 IEEE Globecom Workshops (GC Wkshps)},

pages = {1-6},

abstract = {In this paper, we characterize the channel for fifth-generation (5G) millimeter-wave (mmWave) railway communications. In order to involve the railway features in the channel models, we realize extensive ray-tracing simulations in the 60 GHz band with 8 GHz bandwidth in realistic mmWave railway scenarios. The four angular spreads - azimuth angular spread of arrival (ASA) and departure (ASD), elevation angular spread of arrival (ESA) and departure (ESD) - are extracted and analyzed in detail. This angular domain information together with our previous work on path loss exponent, shadow factor, Ricean K-factor, and root-mean-square (RMS) delay spread, characterize the 5G mmWave railway channel comprehensively. The two parameter tables can be input into the standard channel models.},

keywords = {mmWave},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8566834,

title = {Channel Characteristics in Rural Railway Environment at 28 GHz},

author = {Longhe Wang and Bo Ai and Ke Guan and Danping He and Zhangdui Zhong and Junhyeong Kim},

doi = {10.1109/ITST.2018.8566834},

year  = {2018},

date = {2018-10-01},

urldate = {2018-10-01},

booktitle = {2018 16th International Conference on Intelligent Transportation Systems Telecommunications (ITST)},

pages = {1-5},

abstract = {Nowadays, rail traffic is expected to evolve into a new era of "smart rail mobility", where trains, infrastructure, travelers and goods will be increasingly interconnected. Railway communications are required to support various high-data-rate applications, the communication system should be carefully designed, which makes railway scenario becomes an important communication scenario in the 5G era. Millimeter-wave (mmWave) bands and novel technologies like resource allocation, multiple access and multiple-output beam-forming are proposed in the realization of this goal. In this paper, the mmWave channel characteristics of rural railway scenario are studied via a calibrated ray-tracing simulator. The large-scale parameters of the channel characteristics, including the path loss, root-mean-square (RMS) delay spread, Rician K-factor, angular spreads, and cross-polarization ration (XPR) are explored. The statistical properties, decorrelation distance and cross-correlations are analyzed. The studied channel characteristics can be practically used to support the link level and system level design of the communication system in the similar environments.},

keywords = {mmWave},

pubstate = {published},

tppubtype = {inproceedings}

}