System architecture and key technologies for 5G heterogeneous cloud radio access networks

By Mugen Peng, Yong Li, Zhongyuan Zhao, Chonggang Wang. IEEE Network, 2014

447 citations recorded by the source corpus.

Compared with fourth generation cellular systems, fifth generation wireless communication systems are anticipated to provide spectral and energy efficiency growth by a factor of at least 10, and the area throughput growth by a factor of at least 25. To achieve these goals, a H-CRAN is presented in this article as the advanced wireless access network paradigm, where cloud computing is used to fulfill the centralized large-scale cooperative processing for suppressing co-channel interferences. The state-of-the-art research achievements in the areas of system architecture and key technologies for H-CRANs are surveyed. Particularly, Node C as a new communication entity is defined to converge the existing ancestral base stations and act as the base band unit pool to manage all accessed remote radio heads. Also, the software-defined H-CRAN system architecture is presented to be compatible with software-defined networks. The principles, performance gains, and open issues of key technologies, including adaptive large-scale cooperative spatial signal processing, cooperative radio resource management, network function virtualization, and self-organization, are summarized. The major challenges in terms of fronthaul constrained resource allocation optimization and energy harvesting that may affect the promotion of H-CRANs are discussed as well.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b4a2912a0f58b9fb1c02a660a6bf940a879e8952

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, background): “Moreover, to suppress the co-channel interference and achieve the cooperative process among different base stations (BSs), the authors in [34] summarized the system architecture and key technologies of heterogeneous CRANs (H-CRANs).”
Fog-computing-based radio access networks: issues and challenges (2015, background): “The core idea is to take full advantages oflocal radio signal processing, cooperative radio resource management, and distributed storing capabilities in edge devices, which can decrease the heavy burden on fronthaul and avoid large-scale radio signal processing in the centralized baseband unit pool.”
A Survey of 5G Network: Architecture and Emerging Technologies (2015, background): “Recent advances in Cloud radio access network is given in [98]–[102].”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, background): “MIMO [27] and CR [28], the convergence of different RANs [29], [30], as well as the utilization of edge computing and storing capabilities [31].”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “Software-defined H-CRAN design with new entity ‘Node C’, for different RANs of legacy communication is proposed in [214].”
Ultra-Dense Networks: A Survey (2016, unknown): “speed fiber or microwave links [21].”
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues (2018, background): “siderable increase in data rates, coverage and the number of connected devices with latency and energy consumption significantly reduced [2], [3], [4], [5].”
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends (2022, background): “Considering practical cooperative multi-cell networks with non-ideal limited fronthaul capacity, C-RAN has attracted intense research interests [176].”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “[42] An overview of radio access networks in 5G.”
Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption (2020, background): “Prior to the deployment and commercialization of 5G NR, extensive theoretical modeling or simulation study have been performed, from various perspectives such as flatten radio access architecture [79], software-defined core network [26], ultra-dense picocell [40] to multi-radio (cloud) access [67], ”