Envisioning Spectrum Management in Virtualised C-RAN

Imad Al-Samman; Matteo Artuso; Henrik Lehrmann Christiansen; Angela Doufexi; Mark Beach

doi:10.1109/WCNC.2017.7925555

Envisioning Spectrum Management in Virtualised C-RAN

Imad Al-Samman, Matteo Artuso, Henrik Lehrmann Christiansen, Angela Doufexi, Mark Beach

University of Bristol

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

572 Downloads (Pure)

Abstract

Cloud Radio Access Network (C-RAN) has attracted a worldwide attention in both academia and industry. This network architecture re-forming has been considered as a potential solution to meet the increasing capacity demands for future mobile data traffic. In addition, Network Virtualisation is a promising technique for efficient resource utilisation. This paper proposes a customisable resource virtualisation algorithm for multi user data scheduling in a Long Term Evolution (LTE) C- RAN deployment. The algorithm is based on the hypervisor specific assignment of air resources allocation between the virtual operators (VOs) dynamically, based on either joint scheduling or per cell schemes. The objective is to improve the resource allocation mechanism based on traffic conditions and a database of pre-defined services priorities. Two distinctive scenarios are considered and evaluated against standard Round Robin (RR) C-RAN scheduling technique. Simulation results show improvements in the overall traffic throughput and reduction in end-to-end delay for delay sensitive applications. In addition, an assessment of fairness guarantee is considered across all users.

Original language	English
Title of host publication	2017 IEEE Wireless Communications and Networking Conference (WCNC)
Number of pages	6
Publisher	IEEE
Publication date	2017
ISBN (Print)	978-1-5090-4183-1
DOIs	https://doi.org/10.1109/WCNC.2017.7925555
Publication status	Published - 2017
Event	2017 IEEE Wireless Communications and Networking Conference - Hyatt Regency San Francisco hotel, San Francisco, United States Duration: 19 Mar 2017 → 22 Mar 2017 https://ieeexplore.ieee.org/xpl/conhome/7924448/proceeding

Conference

Conference	2017 IEEE Wireless Communications and Networking Conference
Location	Hyatt Regency San Francisco hotel
Country/Territory	United States
City	San Francisco
Period	19/03/2017 → 22/03/2017
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7924448/proceeding

Keywords

Long Term Evolution
radio access networks
resource allocation
telecommunication network management
telecommunication scheduling
telecommunication traffic
virtualisation
spectrum management
virtualised C-RAN
cloud radio access network
mobile data traffic
network virtualisation
long term evolution
hypervisor specific assignment
resource allocation mechanism
round robin C-RAN scheduling technique
Resource management
Mathematical model
Mobile communication
Algorithm design and analysis
Computational modeling
Virtual machine monitors
Radio access systems
Mobile radio systems
Network management

Access to Document

10.1109/WCNC.2017.7925555

Envisioning Spectrum Management in Virtualised C RANAccepted author manuscript, 684 KB

OpenUrl availability

Full text

Cite this

@inproceedings{9753c2eb775744329921c91ebc73bb1a,

title = "Envisioning Spectrum Management in Virtualised C-RAN",

abstract = "Cloud Radio Access Network (C-RAN) has attracted a worldwide attention in both academia and industry. This network architecture re-forming has been considered as a potential solution to meet the increasing capacity demands for future mobile data traffic. In addition, Network Virtualisation is a promising technique for efficient resource utilisation. This paper proposes a customisable resource virtualisation algorithm for multi user data scheduling in a Long Term Evolution (LTE) C- RAN deployment. The algorithm is based on the hypervisor specific assignment of air resources allocation between the virtual operators (VOs) dynamically, based on either joint scheduling or per cell schemes. The objective is to improve the resource allocation mechanism based on traffic conditions and a database of pre-defined services priorities. Two distinctive scenarios are considered and evaluated against standard Round Robin (RR) C-RAN scheduling technique. Simulation results show improvements in the overall traffic throughput and reduction in end-to-end delay for delay sensitive applications. In addition, an assessment of fairness guarantee is considered across all users.",

keywords = "Long Term Evolution, radio access networks, resource allocation, telecommunication network management, telecommunication scheduling, telecommunication traffic, virtualisation, spectrum management, virtualised C-RAN, cloud radio access network, mobile data traffic, network virtualisation, long term evolution, hypervisor specific assignment, resource allocation mechanism, round robin C-RAN scheduling technique, Resource management, Mathematical model, Mobile communication, Algorithm design and analysis, Computational modeling, Virtual machine monitors, Radio access systems, Mobile radio systems, Network management",

author = "Imad Al-Samman and Matteo Artuso and Christiansen, {Henrik Lehrmann} and Angela Doufexi and Mark Beach",

year = "2017",

doi = "10.1109/WCNC.2017.7925555",

language = "English",

isbn = "978-1-5090-4183-1",

booktitle = "2017 IEEE Wireless Communications and Networking Conference (WCNC)",

publisher = "IEEE",

address = "United States",

note = "2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 ; Conference date: 19-03-2017 Through 22-03-2017",

url = "https://ieeexplore.ieee.org/xpl/conhome/7924448/proceeding",

}

TY - GEN

T1 - Envisioning Spectrum Management in Virtualised C-RAN

AU - Al-Samman, Imad

AU - Artuso, Matteo

AU - Christiansen, Henrik Lehrmann

AU - Doufexi, Angela

AU - Beach, Mark

PY - 2017

Y1 - 2017

N2 - Cloud Radio Access Network (C-RAN) has attracted a worldwide attention in both academia and industry. This network architecture re-forming has been considered as a potential solution to meet the increasing capacity demands for future mobile data traffic. In addition, Network Virtualisation is a promising technique for efficient resource utilisation. This paper proposes a customisable resource virtualisation algorithm for multi user data scheduling in a Long Term Evolution (LTE) C- RAN deployment. The algorithm is based on the hypervisor specific assignment of air resources allocation between the virtual operators (VOs) dynamically, based on either joint scheduling or per cell schemes. The objective is to improve the resource allocation mechanism based on traffic conditions and a database of pre-defined services priorities. Two distinctive scenarios are considered and evaluated against standard Round Robin (RR) C-RAN scheduling technique. Simulation results show improvements in the overall traffic throughput and reduction in end-to-end delay for delay sensitive applications. In addition, an assessment of fairness guarantee is considered across all users.

AB - Cloud Radio Access Network (C-RAN) has attracted a worldwide attention in both academia and industry. This network architecture re-forming has been considered as a potential solution to meet the increasing capacity demands for future mobile data traffic. In addition, Network Virtualisation is a promising technique for efficient resource utilisation. This paper proposes a customisable resource virtualisation algorithm for multi user data scheduling in a Long Term Evolution (LTE) C- RAN deployment. The algorithm is based on the hypervisor specific assignment of air resources allocation between the virtual operators (VOs) dynamically, based on either joint scheduling or per cell schemes. The objective is to improve the resource allocation mechanism based on traffic conditions and a database of pre-defined services priorities. Two distinctive scenarios are considered and evaluated against standard Round Robin (RR) C-RAN scheduling technique. Simulation results show improvements in the overall traffic throughput and reduction in end-to-end delay for delay sensitive applications. In addition, an assessment of fairness guarantee is considered across all users.

KW - Long Term Evolution

KW - radio access networks

KW - resource allocation

KW - telecommunication network management

KW - telecommunication scheduling

KW - telecommunication traffic

KW - virtualisation

KW - spectrum management

KW - virtualised C-RAN

KW - cloud radio access network

KW - mobile data traffic

KW - network virtualisation

KW - long term evolution

KW - hypervisor specific assignment

KW - resource allocation mechanism

KW - round robin C-RAN scheduling technique

KW - Resource management

KW - Mathematical model

KW - Mobile communication

KW - Algorithm design and analysis

KW - Computational modeling

KW - Virtual machine monitors

KW - Radio access systems

KW - Mobile radio systems

KW - Network management

U2 - 10.1109/WCNC.2017.7925555

DO - 10.1109/WCNC.2017.7925555

M3 - Article in proceedings

SN - 978-1-5090-4183-1

BT - 2017 IEEE Wireless Communications and Networking Conference (WCNC)

PB - IEEE

T2 - 2017 IEEE Wireless Communications and Networking Conference

Y2 - 19 March 2017 through 22 March 2017

ER -

Envisioning Spectrum Management in Virtualised C-RAN

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this