A Framework for Joint Wireless Network Virtualization and Cloud Radio Access Networks for Next Generation Wireless Networks
A Framework for Joint Wireless Network Virtualization and Cloud Radio Access Networks for Next Generation Wireless Networks
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DOI：
10.1109/access.2017.2746666
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发表时间：
2017-08
期刊：
影响因子：
3.9
通讯作者：
Mohamad Kalil;A. Al-Dweik;Mohamed Abu Sharkh;A. Shami;A. Refaey
中科院分区：
文献类型：
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作者：
Mohamad Kalil;A. Al-Dweik;Mohamed Abu Sharkh;A. Shami;A. Refaey
无线网络虚拟化(WNV)和云无线接入网络(CRAN)是有潜力的技术，有可能改变第五代(5G)无线网络的游戏规则。特别是，这些技术可能会对5G网络的资本支出、服务提供质量以及频谱效率产生重大影响。在以前的工作中，这两种技术大多是分开考虑的。然而，本文调查了将西尼罗河病毒与CRAN集成的好处和要求。在本文中，我们提出了用于CRAN的WNV方案，其中的目标是最大化系统吞吐量和最小化延迟。所提出的方案旨在保持移动网络运营商(MNO)之间的高度隔离，这允许不同MNO部署不同的调度策略，并管理小区间干扰，这可能导致显著的吞吐量增加。总体而言，本文的结果表明，当MNO具有不平衡的负载时，联合CRAN-WNV体系结构可以是高效的，因为具有高负载的MNO可以无缝地访问负载不足的MNO的未充分利用的资源。与静态共享相比，使用最优共享方案时，不平衡负载下的吞吐量收益可高达50%，而与没有CRAN的WNV相比，吞吐量收益约为18%。建立了CRAN-WNV联合网络资源分配问题的数学模型，给出了最优解和低复杂度次优解。结果表明，将两种技术融合在一个联合架构中可以显著提高网络性能。然而，与最优共享相比，通过采用高效的共享技术来降低复杂性可能会对吞吐量产生明显的影响。
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.