Cognitive radio based adaptive SON for LTE-A heterogeneous networks

This paper presents a novel scheme of adaptive self-organization network (SON) by integrating cognitive radio (CR) with inter-cell interference coordination (ICIC) for LTE-A heterogeneous networks (HetNets). Particularly, we take advantage of the spectrum sensing function from CR and the radio resource layering function from ICIC. Our work addresses the issues of smart low-power node (SLPN) development, which associates appropriate sectorization with radio resource allocation during the self-organization process. We further develop a Hungary algorithm based self-organization strategy to improve the SLPN adaptive optimization. Simulation results show that our proposed scheme can achieve considerable gain in terms of throughput and coverage, with extra rewards of high flexibility and low complexity in HetNet SON.

[1]  Rose Qingyang Hu,et al.  Intracell Cooperation and Resource Allocation in a Heterogeneous Network With Relays , 2013, IEEE Transactions on Vehicular Technology.

[2]  K. Spaey,et al.  Self-organisation in wireless networks: use cases and their interrelations , 2009 .

[3]  Che-Sheng Chiu,et al.  Combined Partial Reuse and Soft Handover in OFDMA Downlink Transmission , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[4]  Masood Maqbool,et al.  Analytical evaluation of various frequency reuse schemes in cellular OFDMA networks , 2008, VALUETOOLS.

[5]  Yang Yang,et al.  Self-configuration and self-optimization for LTE networks , 2010, IEEE Communications Magazine.

[6]  Juan Sanchez-Gonzalez,et al.  A roadmap from UMTS optimization to LTE self-optimization , 2011, IEEE Communications Magazine.

[7]  Ari Hottinen,et al.  Increasing downlink cellular throughput with limited network MIMO coordination , 2009, IEEE Transactions on Wireless Communications.

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

[9]  Rose Qingyang Hu,et al.  Optimal Fractional Frequency Reuse and Power Control in the Heterogeneous Wireless Networks , 2013, IEEE Transactions on Wireless Communications.

[10]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[11]  Yusheng Ji,et al.  Simulation based performance evaluation of ICI mitigation schemes for broadband wireless access networks , 2008, CNS '08.

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

[13]  Muhammad Ali Imran,et al.  A Survey of Self Organisation in Future Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[14]  Rose Qingyang Hu,et al.  Heterogeneous Cellular Networks: Hu/Heterogeneous , 2013 .

[15]  Dong Liang,et al.  Self-configuration and self-optimization in LTE-advanced heterogeneous networks , 2013, IEEE Communications Magazine.

[16]  Juan Ramiro,et al.  Self-Organizing Networks (SON): Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE , 2012 .

[17]  Yikang Xiang,et al.  Inter-cell Interference Mitigation through Flexible Resource Reuse in OFDMA based Communication Networks , 2007 .

[18]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.