Models, Methods, and Solutions for Multicasting in 5G/6G mmWave and Sub-THz Systems

Chukhno, Nadezhda; Chukhno, Olga; Moltchanov, Dmitri; Pizzi, Sara; Gaydamaka, Anna; Samuylov, Andrey; Molinaro, Antonella; Koucheryavy, Yevgeni; Iera, Antonio; Araniti, Giuseppe

doi:10.1109/comst.2023.3319354

Cited by 7 publications

(5 citation statements)

References 197 publications

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“…Thus, thoughtfully designed networks that facilitate user-centric base station cooperation in hybrid wireless systems have the potential to offer both ultra-high transmission rates and ample coverage range. Chukhno et al [267] explored optimization strategies for the performance of mmWave and THz systems, examining multicast techniques for 5G/6G systems. This investigation encompassed technologies like Reconfigurable RIS, 5G sidelink technology, and mobile edge enhancements.…”

Section: Terahertzmentioning

confidence: 99%

A Survey on Video Streaming for Next-Generation Vehicular Networks

Huang,

Cheng,

Lien

et al. 2024

Electronics

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As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia technology has given rise to immersive video experiences. In addition to conventional 2D videos, 360° videos are gaining popularity, and volumetric videos, which can offer users a better immersive experience, have been discussed. However, these applications place high demands on network capabilities, leading to a dependence on next-generation wireless communication technology to address network bottlenecks. Therefore, this study provides an exhaustive overview of the latest advancements in video streaming over vehicular networks. First, we introduce related work and background knowledge, and provide an overview of recent developments in vehicular networking and video types. Next, we detail various video processing technologies, including the latest released standards. Detailed explanations are provided for network strategies and wireless communication technologies that can optimize video transmission in vehicular networks, paying special attention to the relevant literature regarding the current development of 6G technology that is applied to vehicle communication. Finally, we proposed future research directions and challenges. Building upon the technologies introduced in this paper and considering diverse applications, we suggest a suitable vehicular network architecture for next-generation video transmission.

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Section: Terahertzmentioning

confidence: 99%

A Survey on Video Streaming for Next-Generation Vehicular Networks

Huang,

Cheng,

Lien

et al. 2024

Electronics

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“…It is a promising technology to reduce the latency of future advanced applications [12]. • The proximity technology Device-to-Device (D2D) [10] underlaid multicasting (D2DM) is a cost-effective solution for group-oriented communications with users in proximity, reducing latency, handling diversity, enabling alternative links, and extending the coverage. • The slicing paradigm adds flexibility, prioritization, and isolation by creating several logical network slices (NSs) utilizing a shared physical infrastructure.…”

Section: A Enabling Mbs Technologiesmentioning

confidence: 99%

“…Recent studies surveyed O-RAN [6]- [8], the RRM, and multicast use cases [9], [10] In the remainder, we cover the intersection of MBS, MLbased RRM solutions, and the disaggregated O-RAN architecture as technical enablers for 6G. First, we comprehensively review the MBS paradigms, enabling O-MBS technologies, and related RRM challenges.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-based Multicasting Radio Resource Management over 6G O-RAN Framework

Fontes Pupo,

Carballo Gonzalez,

Iradier

et al. 2023

Preprint

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<p> The upcoming 6G will represent a complete paradigm shift for global communications. Addressing the critical research verticals toward the envisioned 2030 will require a compelling mix of enabling radio access technologies (RAT) and native softwarized, disaggregated, and intelligent conceptions such as the Open Radio Access Network (O-RAN) architecture. Integrating the Multicast/Broadcast Services (MBS) capability is an appealing feature to overcome the ever-growing traffic demands, disruptive multimedia services, massive connectivity, and low-latency applications. This article discusses the insertion of machine learning (ML)–based multicasting Radio Resource Management (RRM) solutions in the 6G O-RAN. We review the expected evolution of the MBS capability, including enabling technologies and challenges for the IMT-2030 framework. Moreover, we cover essential aspects at the intersection of MBS, ML-based RRM solutions, and the disaggregated O-RAN architecture, identifying possible scenarios as feature extensions of O-RAN. We present the outcomes of a comprehensive MBS use case simulation oriented to validate our approach, highlighting critical remarks and conclusions. </p>

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“…Despite being important, the area of mURLLC has not been well addressed in the literature. Many works evaluate the performance of new multicast mechanisms [ 12 , 13 , 14 , 15 ] and propose new transmission parameters selection algorithms [ 16 , 17 , 18 , 19 , 20 ]. However, these works only consider multicast broadband traffic (e.g., file transfer, IPTV) with moderate latency and reliability requirements, while mURLLC imposes much stricter requirements.…”

Section: Introductionmentioning

confidence: 99%

Resource-Efficient Multicast URLLC Service in 5G Systems

Krasilov,

Lebedeva,

Yusupov

et al. 2024

Sensors

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Many emerging applications, such as factory automation, electric power distribution, and intelligent transportation systems, require multicast Ultra-Reliable Low-Latency Communications (mURLLC). Since 3GPP Release 17, 5G systems natively support multicast functionality, including multicast Hybrid Automatic Repeat Request and various feedback schemes. Although these features can be promising for mURLLC, the specifications and existing studies fall short in offering guidance on their efficient usage. This paper presents the first comprehensive system-level evaluation of mURLLC, leveraging insights from 3GPP specifications. It points out (i) how mURLLC differs from traditional multicast broadband wireless communications, and (ii) which approaches to provide mURLLC require changing the paradigm compared with the existing solutions. Finally, the paper provides recommendations on how to satisfy strict mURLLC requirements efficiently, i.e., with low channel resource consumption, which increases the capacity of 5G systems for mURLLC. Simulation results show that proper configuration of multicast mechanisms and the corresponding algorithms for mURLLC traffic can reduce resource consumption up to three times compared to the baseline solutions proposed for broadband multicast traffic, which significantly increases the system capacity.

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Models, Methods, and Solutions for Multicasting in 5G/6G mmWave and Sub-THz Systems

Cited by 7 publications

References 197 publications

A Survey on Video Streaming for Next-Generation Vehicular Networks

A Survey on Video Streaming for Next-Generation Vehicular Networks

Machine Learning-based Multicasting Radio Resource Management over 6G O-RAN Framework

Resource-Efficient Multicast URLLC Service in 5G Systems

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