SDN Based Wireless Heterogeneous Network Management

The proliferation of novel network access devices and demand for high quality of service by the end users are proving to be insufficient for existing wireless heterogeneous networks, due to their inflexible and expensive equipment as well as complex and non-agile control plane. This article presents an architecture vision to address the challenges placed on future heterogeneous networks. Software defined networking is emerging as a solution for decoupling the control plane. Furthermore, it enables network function virtualization and network programmability which is very promising for meeting the high demands of end user. In this article, we present an SDN based management framework for cognitive heterogeneous networks. Moreover, we discuss the architectural changes, its control function and its interaction in detail. The proposed management framework enables optimal power control, resource allocation, interference management and provides end to end quality of service for its user.

[1]  Gerhard Fettweis,et al.  5G: Personal mobile internet beyond what cellular did to telephony , 2014, IEEE Communications Magazine.

[2]  Jungwon Lee,et al.  Advanced interference management for 5G cellular networks , 2014, IEEE Communications Magazine.

[3]  Zhengang Pan,et al.  Toward green and soft: a 5G perspective , 2014, IEEE Communications Magazine.

[4]  Xiqi Gao,et al.  Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.

[5]  Rose Qingyang Hu,et al.  An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems , 2014, IEEE Communications Magazine.

[6]  Junyi Li,et al.  Network densification: the dominant theme for wireless evolution into 5G , 2014, IEEE Communications Magazine.

[7]  Shanzhi Chen,et al.  The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication , 2014, IEEE Communications Magazine.

[8]  Choong Seon Hong,et al.  Cross-Layer Optimization for Congestion and Power Control in OFDM-Based Multi-Hop Cognitive Radio Networks , 2012, IEEE Transactions on Communications.

[9]  Jan Markendahl,et al.  EU FP7 INFSO-ICT-317669 METIS, D1.1 Scenarios, requirements and KPIs for 5G mobile and wireless system , 2013 .

[10]  Sachin Katti,et al.  SoftRAN: software defined radio access network , 2013, HotSDN '13.

[11]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[12]  Choong Seon Hong,et al.  Joint rate adaption, power control, and spectrum allocation for OFDMA-based multi-hop CRNs , 2011 .

[13]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.