Adaptive Radio Resource Management in Heterogeneous Wireless Networks

In this paper, adaptive channel management approach fuzzy neural networks in heterogeneous wireless networks (ACM-FNN) is presented to efficient resource allocation, and admission control schemes are needed to guarantee quality-of-service (QoS) for differentiated services. The channel management in a two-tier such as micro cell or macro cell wireless networks. Effective reliability and efficiently schemes are also needed to make network services more reliable and efficient. In a wireless networks for uneven traffic load may occur creating a hot spots. So the two-tier wireless cellular system should be able to cope with such traffic load in certain cells. To keep the handoff calls in a two-tier wireless networks at an acceptable level with low mobility users should undergo handoff calls at micro cell boundaries, and hight mobility users should undergo hand off calls at macro cell. In wireless network, the calls arrival rate, the call duration , the mobility speed and the communication overhead between the base station and the mobile switch center are vague and uncertain. Therefore, we propose a new efficient channel allocation scheme in heterogeneous wureless networks based on ACM-FNN. The proposed scheme exhibits better learning abilities, optimization abilities, robustness, and fault-tolerant capability thus yielding better performance compared with other algorithms. The results show that our algorithm has lower new calls blocking rate, lower call handoff calls dropping rate, less update messages overhead, and shorter channel acquisition delays. Keywords— Dynamic channel allocation, dynamic load balancing, fuzzy neural networks, radio resource rmanagement, heterogeneous wireless networks.