5G NR Release 16: Start of the 5G Evolution

Blankenship, Yufei; Blasco, Ricardo; Dahlman, Erik; Fodor, Gábor; Grant, S.J.; Stare, Erik; Stattin, Magnus

doi:10.1109/mcomstd.011.1900018

Cited by 42 publications

(12 citation statements)

References 3 publications

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“…where 3) . The proposed Multi-Technology (MT) BM approach provides the best trade-off between training time and beamforming gain loss, as shown in Section V.…”

Section: Multi-technology (Mt) Methodsmentioning

confidence: 99%

“…The Sixth Generation (6G) of cellular communications is expected to support advanced mobile and vehicular services achieving unprecedented performance [1]. To guarantee these requirements, the 3rd Generation Partnership Project (3GPP) has recently established the use of Millimeter Waves (mmW) and sub-THz bands [2], [3]. Propagation at these frequencies is subject to higher path and penetration losses compared to currently deployed communication systems, calling for the usage of highly directive beams in Multi-Input-Multi-Output (MIMO) systems.…”

Section: Introductionmentioning

confidence: 99%

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Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Linsalata¹,

Tagliaferri²,

Rinaldi³

et al. 2022

Preprint

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Millimeter Waves (mmW) and sub-THz frequencies are the candidate bands for the upcoming Sixth Generation (6G) of communication systems. The use of collimated beams at mmW/sub-THz to compensate for the increased path and penetration loss arises the need for a seamless Beam Management (BM), especially for high mobility scenarios such as the Vehicle-to-Infrastructure (V2I) one. Recent research advances in Integrated Sensing and Communication (ISAC) indicate that equipping the network infrastructure, e.g., the Base Station (BS), with either a stand-alone radar or sensing capabilities using optimized waveforms, represents the killer technology to facilitate the BM. However, radio sensing should accurately localize the Vehicular Equipment (VE)'s antenna, which is not guaranteed in general. Differently, employing side information from VE's onboard positioning sensors might overcome this limitation at the price of an increased control signaling between VE and BS. This paper provides a pragmatic comparison between radar-assisted and position-assisted BM for mmW V2I systems in a typical urban scenario in terms of BM training time and beamforming gain loss due to a wrong BM decision. Simulation results, supported by experimental evidence, show that the point target approximation of a traveling VE does not hold in practical V2I scenarios with radar-equipped BS. Therefore, the true antenna position has a residual uncertainty that is independent of radar's resolution and implies 50 % more BM training time on average. Moreover, there is not a winning technology for BM between BS-mounted radar and VE's onboard positioning systems. They provide complementary performance, depending on position, although outperforming blind BM techniques compared to conventional blind methods. Thus, we propose to optimally combine radar and positioning information in a multi-technology integrated BM solution.

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“…where 3) . The proposed Multi-Technology (MT) BM approach provides the best trade-off between training time and beamforming gain loss, as shown in Section V.…”

Section: Multi-technology (Mt) Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Linsalata¹,

Tagliaferri²,

Rinaldi³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…The 3GPP Release 16, known as 5G NR, has been recently specified for both the uplink / downlink (i.e., V2I) and sidelink (i.e., V2V) communication modes [46,47,48]. With this release, the Uu (uplink/downlink) and PC5 (sidelink) interfaces of LTE are replaced by a brand new version entirely based on 5G NR air interface, thus setting the first milestone for future V2X standards [49]. Indeed, 5G NR can operate in strict interoperability with LTE networks (non-standalone mode), i.e., using the LTE radio access network as an overlay, or independently (standalone mode) [50,51].…”

Section: A Key Features Of 5g Nr Sidelinkmentioning

confidence: 99%

Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks

Mizmizi,

Linsalata,

Brambilla

et al. 2021

Preprint

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The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A radical transformation on the physical layer of vehicular communications is planned, with a paradigm shift towards beam-based millimeter Waves or sub-Terahertz communications, which require precise beam pointing for guaranteeing the communication link, especially in high mobility. A key design aspect is a fast and proactive Initial Access (IA) algorithm to select the optimal beam to be used. In this work, we investigate alternative IA techniques to fasten the current fifth-generation (5G) standard, targeting an efficient 6G design. First, we discuss cooperative position-based schemes that rely on the position information. Then, motivated by the intuition of a non-uniform distribution of the communication directions due to road topology constraints, we design two Probabilistic Codebook (PCB) techniques of prioritized beams. In the first one, the PCBs are built leveraging past collected traffic information, while in the second one, we use the Hough Transform over the digital map to extract dominant road directions. We also show that the information coming from the angular probability distribution allows designing non-uniform codebook quantization, reducing the degradation of the performances compared to uniform one. Numerical simulation on realistic scenarios shows that PCBs-based beam selection outperforms the 5G standard in terms of the number of IA trials, with a performance comparable to position-based methods, without requiring the signaling of sensitive information.Index termsvehicular communications; initial access; mmWaves; 5G NR; V2V; sidelink; 6G; beam-based communications I. INTRODUCTION Connected mobility is a flagship element of smart cities and a mandatory step in the evolution towards automated driving, to guarantee traffic safety, efficiency, user comfort and environmental sustainability [1,2,3,4]. Moreover, sales volume and market share of connected vehicles represent a radical breakthrough for telecommunication operators, unlocking new business models and strategies [5]. In this framework, vehicular communications represent the key technology to enable information sharing and thereby cooperation among road users, to augment the ego-vehicle sensing and control capabilities. The heterogeneity of envisioned mobility applications, spanning from driving-assistance to on-board entertainment [6], call for a vehicular network that is extremely reliable, fast and resilient.The European Telecommunications Standards Institute (ETSI) has identified connected services for active road safety and cooperative traffic efficiency, to be enabled by Vehicle-to-Everything (V2X) communications, either Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I), since 2009 [7]. Therein, the addressed use cases belong to the low levels of automation (levels 1 and 2, according to [1]), i.e., driver assistance and partial automation features. To en...

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“…The 5th Generation (5G) of wireless networks is at an early deployment stage, providing a single platform for a variety of services and vertical applications [1]. However, novel concepts as well as new services and related use cases, incorporating new enabling technologies to satisfy future needs [2], are already being identified for addressing the current predictions for the performance requirements of the next 6th Generation (6G) of connect-and-compute networks around 2030.…”

Section: Introductionmentioning

confidence: 99%

Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective

Strinati¹,

Alexandropoulos²,

Sciancalepore³

et al. 2021

Preprint

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The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 2030 horizon, 6G networks are poised to pave the way for sustainable human-centered smart societies and vertical industries, such that wireless networks will be transformed into a distributed smart connectivity infrastructure, where new terminal types are embedded in the daily environment. In this context, the RISE-6G project aims at investigating innovative solutions that capitalize on the latest advances in the emerging technology of Reconfigurable Intelligent Surfaces (RISs), which offers dynamic and goal-oriented radio wave propagation control, enabling the concept of the wireless environment as a service. The project will focus on: i) the realistic modeling of RIS-assisted signal propagation, ii) the investigation of the fundamental limits of RIS-empowered wireless communications and sensing, and iii) the design of efficient algorithms for orchestrating networking RISs, in order to implement intelligent, sustainable, and dynamically programmable wireless environments enabling diverse services that go well beyond the 5G capabilities. RISE-6G will offer two unprecedented proof-of-concepts for realizing controlled wireless environments in near-future use cases.

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5G NR Release 16: Start of the 5G Evolution

Cited by 42 publications

References 3 publications

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks

Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective

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