Dynamic load balancing architecture in heterogeneous wireless network environment

This paper discusses load balancing architecture among heterogeneous wireless networks (HWNs). Load balancing is an important issue for efficient use of radio resources not only in a single network but among different Radio Access Technologies (RATs) in HWNs. Cooperative management of radio resources among heterogeneous RATs is considered to reduce imbalance of utilization of radio resources and enhance availability of the system. For effective load balancing, we define a “community” concept, in which radio resources of various RATs are managed together. Radio resource management functional entities of RATs cooperatively work in the community. We present a load balancing architecture applied to 3GPP LTE, WiBro and WLAN and describe architectural considerations. We also present a straightforward load balancing algorithm that takes account of bandwidth usage and received signal to noise ratio. The load balancing algorithm of community radio resource management enhances utilization of radio resources and reduces call blocking probability of individual RATs in the community and further enhances average performance of the whole community.

[1]  Oriol Sallent,et al.  A novel on-demand cognitive pilot channel enabling dynamic spectrum allocation , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[2]  Hiroshi Harada,et al.  Architecture and enablers for optimized radio resource usage in heterogeneous wireless access networks: The IEEE 1900.4 Working Group , 2009, IEEE Communications Magazine.

[3]  Oriol Sallent,et al.  A Novel Approach for Joint Radio Resource Management Based on Fuzzy Neural Methodology , 2008, IEEE Transactions on Vehicular Technology.

[4]  P. Hakalin,et al.  Adaptive load balancing between multiple cell layers , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[5]  Michael E. Theologou,et al.  Evolution in wireless systems management concepts: from composite radio environments to reconfigurability , 2004, IEEE Communications Magazine.

[6]  P. Cordier,et al.  Development of a Radio Enabler for Reconfiguration Management within the IEEE P1900.4 Working Group , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[7]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[8]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[9]  Bruno Müller-Clostermann,et al.  Modeling of common radio resource management scenarios , 2007, SpringSim '07.

[10]  Brian M. Sadler,et al.  Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy , 2006, ArXiv.

[11]  Hwang Soo Lee,et al.  Wibro Usage Scenarios and Requirements in Tactical Environment , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.