Cloud RAN for Mobile Networks—A Technology Overview

By Aleksandra Checko, Henrik Lehrmann Christiansen, Ying Yan, L. Scolari, Georgios Kardaras, M. Berger, L. Dittmann. IEEE Communications Surveys and Tutorials, 2015

1,525 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e50db41ef56a0c33832ac35b269e4b1139903dcb

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Citations in the corpus

Ultra-Dense Networks: A Survey (2016, background): “In other words, Cloud-RAN is an appealing solution for the operator with free or cheap already available fiber resources [106].”
Robust Decentralized Joint Precoding using Team Deep Neural Network (2018, background): “Future networks are expected to have a more flexible architecture with TXs taking the form of street-lights, other devices, or even UAVs [5].”
A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, background): “(M2M) communications [5], Internet-of-Things (IoT) [6], cloud radio access networks (CRANs) [7], mobile edge computing (MEC) [8], cloud computing [9], unmanned”
Mobile Edge Computing: A Survey on Architecture and Computation Offloading (2017, background): “ing the cloud capabilities into the mobile network is Cloud Radio Access Network (C-RAN) [21].”
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges (2022, background): “From the signal processing point of view, there is an extensive body on research that beneﬁts from C-RAN and virtualized, centralized CUs and DUs [36], [161].”
Holistic Network Virtualization and Pervasive Network Intelligence for 6G (2023, background): “In the era of 5G, as networks become more heterogeneous than ever while services become diversiﬁed, various network architecture innovations have been proposed towards ﬂexible service-oriented networking, including software deﬁned networking (SDN) [16], cloud radio access network (C-RAN) [17], and n”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “While Cloudlets or Fog nodes are mostly managed by individuals and can be deployed at any appropriate location, MEC servers are owned by mobile operators and need to be located near the base stations in order to provide an access to the mobile network users over the RAN [100].”
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (2018, background): “Cloud-RAN (CRAN) technology [280] centralizes and virtualizes the BBU functions such that a given BBU can connect to and serve several RRHs.”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “Virtual BBU pools further facilitate scalability, cost reduction, integration of different services and reduction in time consumption for field trials [46].”
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “Spurred by the impressive spread of cloud computing, cloud-RAN (C-RAN) is based on the idea that many functions that are currently performed in the BS, can be actually transferred to a remote data-center and implemented via software [17], [152], [153].”
A Survey of the Functional Splits Proposed for 5G Mobile Crosshaul Networks (2019, methodology): “ Simpler implementation and easy maintenance of on-site RRHs [4].”
Hybrid SDN Networks: A Survey of Existing Approaches (2018, background): “Similarly, OpenRadio [359], SoftRAN [360], CloudRAN [361] are some additional examples”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, background): “While in [14], a high-level overview of C-RANs is provided, including the architecture, transport network techniques, virtualization and challenges.”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “In summary, the ﬁndings investigated in this survey target the user-centric cell-free MIMO architecture, and they are comprehensive compared to the surveys in the literature.”
End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications (2017, background): “Initiatives such as SoftAir [40], Cloud RAN [41], OpenRadio [42] and several others are still at the conceptual or prototype level.”
A survey on 5G: The next generation of mobile communication (2015, background): “A detailed review of C-RANs is given in [33].”
Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Toward 6G (2021, background): “• Mobile edge computing (MEC): While cloud computing and cloud RAN [341, 342] offer unquestionable economies of scale, MEC enjoys compute and storage resources close to the end users, typically within or at the boundary of operator networks.”