Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies

By Mugen Peng, Yuan Li, Jiamo Jiang, Jian Li, Chonggang Wang. IEEE wireless communications, 2014

449 citations recorded by the source corpus.

To mitigate the severe inter-tier interference and enhance the limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in HetNets, H-CRANs are proposed as cost-efficient potential solutions through incorporating cloud computing into HetNets. In this article, state-of-the-art research achievements and challenges of H-CRANs are surveyed. In particular, we discuss issues of system architectures, spectral and energy efficiency performance, and promising key techniques. A great emphasis is given toward promising key techniques in HCRANs to improve both spectral and energy efficiencies, including cloud-computing-based coordinated multipoint transmission and reception, large-scale cooperative multiple antenna, cloud-computing-based cooperative radio resource management, and cloud-computing based self-organizing networks in cloud converging scenarios. The major challenges and open issues in terms of theoretical performance with stochastic geometry, fronthaul-constrained resource allocation, and standard development that may block 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/454dffd49e9737e176620cc4af0503a2bf9f6da6

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Citations in the corpus

Fog-computing-based radio access networks: issues and challenges (2015, background): “To overcome the disadvantages of C-RANs with the fronthaul c onstraints, heterogeneous cloud radio access networks (H-CRANs) have been proposed in [3].”
Network Function Virtualization: State-of-the-Art and Research Challenges (2015, unknown): “The User Equipment (UE) is connected to the EPC over the LTE access network (E-UTRAN).”
A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, methodology): “To provide a better illustration, we give a summary of RA in H-CRANs in Table VIII.”
Fronthaul-constrained cloud radio access networks: insights and challenges (2015, methodology): “Fortunately, heterogeneous cloud radio access networks (H-CRANs) have been proposed to fficiently support the control and data decoupling functions by incorporating macro base s tations (MBSs) in C-RANs, where MBSs are used to deliver the control signaling and provide se aml ss coverage [3].”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, methodology): “The social-aware D2D with the assistance of a BS requires the BS to deliver control signalling, which is hard to implement in C-RANs since RRHs are mainly deployed to provide high capacity in special zones [29].”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, methodology): “By combining advantages of HetNets, C-RAN and SDN, H-CRAN [231]”
System architecture and key technologies for 5G heterogeneous cloud radio access networks (2014, methodology): “…new breakthroughs anticipated in 5G systems, and overcome the aforementioned challenges in both C-RANs and HetNets, we presented heterogeneous cloud radio access networks (H-CRANs) as 5G RANs in our prior work [7], which are fully backward compatible with different kinds of C-RANs and HetNets.”