Research and Implementation of eCPRI Processing Module for Fronthaul Network on FPGA in 5G – NR gNodeB Base Station

Kiet, Dang Tuan; Hieu, Tran Minh; Hưng, Nguyễn Quang; Cương, Nguyễn Văn; Van, Vo Thanh; Cuong, Pham Ngoc

doi:10.1109/sigtelcom49868.2020.9199019

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [156], the CPRI to eCPRI replacement have been implemented. Based on the specification of eCPRI, data has been encapsulated in eCPRI format to create eCPRI packets.…”

Section: Ecprimentioning

confidence: 99%

See 1 more Smart Citation

Survey on 5G Second Phase RAN Architectures and Functional splits

Khan¹,

Nidhi²,

OdetAlla³

et al. 2022

Preprint

View full text Add to dashboard Cite

<p>The Radio Access Network (RAN) architecture evolves with different generations of mobile communication technologies and forms an indispensable component of the mobile network architecture. The main component of the RAN infrastructure is the base station, which includes a Radio Frequency unit and a baseband unit. The RAN is a collection of base stations connected to the core network to provide coverage through one or more radio access technologies. The advancement towards cloudnative networks has led to centralizing the baseband processing of radio signals. There is a trade-off between the advantages of RAN centralization (energy efficiency, power cost reduction, and the cost of the fronthaul) and the complexity of carrying traffic between the data processing unit and distributed antennas. 5G networks hold high potential for adopting the centralized architecture to reduce maintenance costs while reducing deployment costs and improving resilience, reliability, and coordination. Incorporating the concept of virtualization and centralized RAN architecture enables to meet the overall requirements for both the customer and Mobile Network Operator. Functional splitting is one of the key enablers for 5G networks. It supports Centralized RAN, virtualized Radio Access Network, and the recent Open Radio Access Networks. This survey provides a comprehensive tutorial on the paradigms of the RAN architecture evolution, its key features, and implementation challenges. It provides a thorough review of the 3rd Generation Partnership Project functional splitting complemented by associated challenges and potential solutions. The survey also presents an overview of the fronthaul and its requirements and possible solutions for implementation, algorithms, and required tools whilst providinga vision of the evaluation beyond 5G second phase.</p>

show abstract

“…In [156], the CPRI to eCPRI replacement have been implemented. Based on the specification of eCPRI, data has been encapsulated in eCPRI format to create eCPRI packets.…”

Section: Ecprimentioning

confidence: 99%

“…Based on the specification of eCPRI, data has been encapsulated in eCPRI format to create eCPRI packets. The system in [156] supports the raw Ethernet header, in which the payload contains one eCPRI message.…”

Section: Ecprimentioning

confidence: 99%

Survey on 5G Second Phase RAN Architectures and Functional splits

Khan¹,

Nidhi²,

OdetAlla³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

View full text Add to dashboard Cite

Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.

show abstract

Research and Implementation of eCPRI Processing Module for Fronthaul Network on FPGA in 5G – NR gNodeB Base Station

Cited by 2 publications

References 3 publications

Survey on 5G Second Phase RAN Architectures and Functional splits

Survey on 5G Second Phase RAN Architectures and Functional splits

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

Contact Info

Product

Resources

About