A fuzzy-based dynamic channel borrowing scheme for wireless cellular networks

In this paper, a fuzzy-based dynamic channel-borrowing scheme (FDCBS) is presented to maximize the number of served calls in distributed wireless cellular network. The uneven traffic load may create hot-spot cells and possibly causes a high blocking rate in the hot-spot cells. Most conventional method use load indices with a threshold value to determine the load status of a cell. However, it exists a ping-pong effect as loads are around the threshold value. This result causes an unstable system and unnecessary message passed overhead. In addition, the estimation of traffic load is difficult and time-consuming. Thus, an intelligent prediction mechanism is needed. In this paper, we develop a method to predict the cell load and to solve the channel-borrowing problem based on the fuzzy logic control. The FDCBS exhibits better adaptability, robustness and fault-tolerant capability thus yielding better performance compared with other algorithms. Through simulations, we evaluate the blocking rate, update overhead, and channel acquisition delay time of the proposed method. The results demonstrate that our algorithm has lower blocking rate, less update overhead and shorter channel acquisition delays.