Fuzzy Assisted Handoff Algorithm for Micro and Macro Cellular System

Abstract

Handoff is an essential part of any Mobile Communication Network. Efficient handoff algorithms provide cost-effective way for enhancing the capacity and QOS of cellular system. The work reported here in presents multi-criteria based hard handoff algorithm for micro and macro-cellular architecture. Fuzzy technique has been used as optimization engine. The fuzzy handoff algorithm based on Received Signal Strength (RSS), absolute threshold value, hysteresis level, slope ratios and speed of Mobile Terminal (MT) have been previously developed for conventional cellular networks. In this work the handoff algorithm has been improved by considering two new parameter, signalling delay and angle of motion of MT along with velocity as our input criteria. Two fuzzy models named Mamdani and Sugeno have been used for processing the input criteria. Further, ANFIS has also been used to tune the Sugeno model for parameter adjustment. The proposed fuzzy inference scheme uses triangular and trapezoidal membership function for fuzzification. The types of defuzzification method used are centriod and weighted average formula for Mamdani and Sugeno model respectively. Extensive simulation analysis has been used to validate the proposed technique. The results show that fuzzy is a viable option for handoff.