Integrated BS/ONU placement in hybrid EPON-WiMAX access networks

Authors:
Yu Liu;Chi Zhou;Yu Cheng
Affiliations:
Department of Electrical & Computer Engineering, Illinois Institute of Technology, Chicago, IL;Department of Electrical & Computer Engineering, Illinois Institute of Technology, Chicago, IL;Department of Electrical & Computer Engineering, Illinois Institute of Technology, Chicago, IL
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 5
Cited 1

Efficient integration of multihop wireless and wired networks with QoS constraints

IEEE/ACM Transactions on Networking (TON)
Gateway Placement with QoS Constraints in Wireless Mesh Networks

ICN '08 Proceedings of the Seventh International Conference on Networking
Fixed Mobile Convergence Architectures for Broadband Access: Integration of EPON and WiMAX [Topics in Optical Communications]

IEEE Communications Magazine
Gateway Placement Optimization in Wireless Mesh Networks With QoS Constraints

IEEE Journal on Selected Areas in Communications
Hybrid wireless-optical broadband access network (WOBAN): network planning and setup

IEEE Journal on Selected Areas in Communications - Part Supplement

S2U: An efficient algorithm for optimal integrated points placement in hybrid optical-wireless access networks

Computer Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Integrated optical and wireless networks are considered as the next generation access networks because of the potential benefits from both technologies. In this paper, we consider the integrated BS/ONU (IBO) placement problem in the hybrid EPON-WiMAX system to efficiently utilize network resources as well as reduce the system cost. We propose a modified clustering algorithm (MCA) to obtain the near-optimal result that minimizes the number of IBOs needed to support all wireless relay BSs residing in the wireless part of the integrated system, while satisfying several necessary quality-of-service (QoS) constraints, e.g., hop count, cluster size, etc. In contrast to the existing related work, our MCA approach forms the clusters starting from the network edge towards its center and the construction of clusters is not only based on the "greedy" idea but also considers the load balance. Simulation and numerical results show that the number of IBOs generated from our algorithm is always less than or equal to the best results known in the current literature, but our algorithm can achieve better network performance in terms of the reduced average transmission delay, lowered link failure probability and more balanced load.