TY - JOUR
T1 - Fronthaul-constrained cloud radio access networks
T2 - Insights and challenges
AU - Peng, Mugen
AU - Wang, Chonggang
AU - Lau, Vincent
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2002-2012 IEEE.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - As a promising paradigm for fifth generation wireless communication systems, cloud radio access networks (C-RANs) have been shown to reduce both capital and operating expenditures, as well as to provide high spectral efficiency (SE) and energy efficiency (EE). The fronthaul in such networks, defined as the transmission link between the baseband unit and the remote radio head, requires a high capacity, but is often constrained. This article comprehensively surveys recent advances in fronthaul-constrained CRANs, including system architectures and key techniques. Particularly, major issues relating to the impact of the constrained fronthaul on SE/EE and quality of service for users, including compression and quantization, large-scale coordinated processing and clustering, and resource allocation optimization, are discussed together with corresponding potential solutions. Open issues in terms of software-defined networking, network function virtualization, and partial centralization are also identified.
AB - As a promising paradigm for fifth generation wireless communication systems, cloud radio access networks (C-RANs) have been shown to reduce both capital and operating expenditures, as well as to provide high spectral efficiency (SE) and energy efficiency (EE). The fronthaul in such networks, defined as the transmission link between the baseband unit and the remote radio head, requires a high capacity, but is often constrained. This article comprehensively surveys recent advances in fronthaul-constrained CRANs, including system architectures and key techniques. Particularly, major issues relating to the impact of the constrained fronthaul on SE/EE and quality of service for users, including compression and quantization, large-scale coordinated processing and clustering, and resource allocation optimization, are discussed together with corresponding potential solutions. Open issues in terms of software-defined networking, network function virtualization, and partial centralization are also identified.
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U2 - 10.1109/MWC.2015.7096298
DO - 10.1109/MWC.2015.7096298
M3 - Article
AN - SCOPUS:84929467968
VL - 22
SP - 152
EP - 160
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
SN - 1536-1284
IS - 2
M1 - 7096298
ER -