TY - JOUR
T1 - A Framework for Joint Wireless Network Virtualization and Cloud Radio Access Networks for Next Generation Wireless Networks
AU - Kalil, Mohamad
AU - Al-Dweik, Arafat
AU - Abu Sharkh, Mohamed F.
AU - Shami, Abdallah
AU - Refaey, Ahmed
N1 - Funding Information:
This work was supported by the Telecommunications Regulatory Authority, the ICT Fund, Abu Dhabi, United Arab Emirates, under Grant 11/15/TRAICTFund/KU.
Publisher Copyright:
© 2013 IEEE.
PY - 2017/8/30
Y1 - 2017/8/30
N2 - Wireless network virtualization (WNV) and cloud radio access networks (CRANs) are promising technologies with the potential to be game changing for the fifth generation (5G) wireless networks. In particular, these technologies may have significant impact on the capital expenditure, quality of service provisioning, as well as spectral efficiency in 5G networks. These two technologies are mostly considered separately in previous works. This paper, however, investigates both the gains and requirements of integrating WNV with CRAN. In this paper, we propose WNV schemes for CRAN, where the objective is to maximize the overall system throughput and minimize delay. The proposed schemes are designed to maintain a high level of isolation between mobile network operators (MNOs), which allows the deployment of different scheduling polices by different MNOs, and managing intercell interference, which may lead to significant throughput gain. Overall, the results presented in this paper reveal that a joint CRAN-WNV architecture can be highly efficient when MNOs have unbalanced loads, because MNOs with high loads can seamlessly access the underutilized resources of underloaded MNOs. The throughput gain in unbalanced loads can be as much as 50% using optimal sharing schemes when compared with static sharing, and about 18% when compared with the WNV without CRAN. The resource allocation problem in the joint CRAN-WNV is formulated, and both optimal and low complexity suboptimal solutions are derived. The obtained results show that integrating the two technologies in a joint architecture can significantly improve the network performance. However, reducing the complexity by adopting efficient sharing techniques may have tangible impact on the throughput when compared with optimal sharing.
AB - Wireless network virtualization (WNV) and cloud radio access networks (CRANs) are promising technologies with the potential to be game changing for the fifth generation (5G) wireless networks. In particular, these technologies may have significant impact on the capital expenditure, quality of service provisioning, as well as spectral efficiency in 5G networks. These two technologies are mostly considered separately in previous works. This paper, however, investigates both the gains and requirements of integrating WNV with CRAN. In this paper, we propose WNV schemes for CRAN, where the objective is to maximize the overall system throughput and minimize delay. The proposed schemes are designed to maintain a high level of isolation between mobile network operators (MNOs), which allows the deployment of different scheduling polices by different MNOs, and managing intercell interference, which may lead to significant throughput gain. Overall, the results presented in this paper reveal that a joint CRAN-WNV architecture can be highly efficient when MNOs have unbalanced loads, because MNOs with high loads can seamlessly access the underutilized resources of underloaded MNOs. The throughput gain in unbalanced loads can be as much as 50% using optimal sharing schemes when compared with static sharing, and about 18% when compared with the WNV without CRAN. The resource allocation problem in the joint CRAN-WNV is formulated, and both optimal and low complexity suboptimal solutions are derived. The obtained results show that integrating the two technologies in a joint architecture can significantly improve the network performance. However, reducing the complexity by adopting efficient sharing techniques may have tangible impact on the throughput when compared with optimal sharing.
KW - CRAN
KW - ICI management
KW - resource allocation
KW - Wireless resource virtualization
UR - https://www.scopus.com/pages/publications/85028717332
U2 - 10.1109/ACCESS.2017.2746666
DO - 10.1109/ACCESS.2017.2746666
M3 - Article
AN - SCOPUS:85028717332
SN - 2169-3536
VL - 5
SP - 20814
EP - 20827
JO - IEEE Access
JF - IEEE Access
M1 - 8022863
ER -