2019
Maicon Kist, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville, Juergen Rochol, Luiz A DaSilva, Cristiano Bonato Both
Flexible fine-grained baseband processing with network functions virtualization: Benefits and impacts Journal Article
In: Elsevier Computer Networks, 151 , pp. 158–165, 2019, ISSN: 1389-1286.
Abstract Links BibTeX Tags: 5G Cloud Radio Access Networks (C-RAN) Network Functions Virtualization (NFV) Software-Defined Radio (SDR) Wireless Networks
@article{journal/cn/Kist19,
title = {Flexible fine-grained baseband processing with network functions virtualization: Benefits and impacts},
author = {Maicon Kist and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville and Juergen Rochol and Luiz A DaSilva and Cristiano Bonato Both},
url = {http://www.sciencedirect.com/science/article/pii/S1389128619301033},
doi = {10.1016/j.comnet.2019.01.021},
issn = {1389-1286},
year = {2019},
date = {2019-01-01},
journal = {Elsevier Computer Networks},
volume = {151},
pages = {158--165},
abstract = {The increasing demand for wireless broadband connectivity is leading mobile network operators towards new means to expand their infrastructures efficiently and without increasing the cost of operation. Network Functions Virtualization (NFV) is a step towards virtualization-based, low-cost flexible and adaptable networking services. In the context of centralized baseband architectures, virtualization is already employed to run baseband processing units as software on top of conventional data center hardware. However, current virtualization solutions consider atomic virtualization, i.e., single virtual machines implementing all baseband functionalities. In this article, we propose the fine-grained virtualization of baseband processing to achieve a more flexible distribution of the processing workload in centralized architectures. We also evaluate the benefits of our approach in terms of: (i) The bandwidth requirements for each fine-grained distribution option, (ii) the latency experienced by mobile users for each fine-grained distribution option, and (iii) the total CPU usage of each fine-grained baseband processing function.},
keywords = {5G, Cloud Radio Access Networks (C-RAN), Network Functions Virtualization (NFV), Software-Defined Radio (SDR), Wireless Networks},
pubstate = {published},
tppubtype = {article}
}
2017
Marcelo Antonio Marotta, Maicon Kist, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville, Juergen Rochol, Cristiano Bonato Both
Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks Journal Article
In: Springer Journal of Internet Services and Applications, 8 (1), pp. 1–18, 2017, ISSN: 1867-4828.
Abstract Links BibTeX Tags: 5G Cloud Radio Access Networks (C-RAN) Software-Defined Networking (SDN) Software-Defined Radio (SDR)
@article{DBLP:journals/jisa/MarottaKWGRB17,
title = {Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks},
author = {Marcelo Antonio Marotta and Maicon Kist and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville and Juergen Rochol and Cristiano Bonato Both},
url = {https://doi.org/10.1186/s13174-017-0068-x},
doi = {10.1186/s13174-017-0068-x},
issn = {1867-4828},
year = {2017},
date = {2017-01-01},
journal = {Springer Journal of Internet Services and Applications},
volume = {8},
number = {1},
pages = {1--18},
abstract = {The fifth generation (5G) cellular infrastructure is envisaged as a dense and heterogeneous deployment of small cells overlapping with existing macrocells in the Radio Access Network (RAN). Densification and heterogeneity, however, pose new challenges such as dealing with interference, accommodating massive signaling traffic, and managing increased energy consumption. Heterogeneous Cloud Radio Access Networks (H-CRAN) emerges as a candidate architecture for a sustainable deployment of 5G. In addition, the application of SDN concepts to wireless environments motivated recent research in the so-called Software-Defined Wireless Networking (SDWN). In this article, we discuss how SDWN can support the development of a flexible, programmable, and sustainable infrastructure for 5G. We also present a case study based on SDWN to perform frequency assignment, interference, and handover control in an H-CRAN environment. Results allow the establishment of a tradeoff between wireless communication capacity gains and signaling overhead added by the employment of SDWN concepts to H-CRAN.},
keywords = {5G, Cloud Radio Access Networks (C-RAN), Software-Defined Networking (SDN), Software-Defined Radio (SDR)},
pubstate = {published},
tppubtype = {article}
}