Comparative evaluation of fixed and adaptive soft handoff parameters using fuzzy inference systems in CDMA mobile communication systems

Two presented soft handoff (SHO) algorithms based on a fuzzy inference system (FIS) aim to increase the values of T-DROP and SHO Window (SHW), and T-ADD, in the first and second proposed algorithms, respectively in order to release the traffic channel at high traffic loads for increasing the carried traffic, and to decrease those values in the proposed algorithms in order to add the traffic channel in an active set at low traffic loads for increasing the quality of the traffic channel. These proposed FIS SHO algorithms can reduce the new call blocking probability (P_B) and handoff call blocking probability (P_HO) when compared with IS-95A, IS-95B/cdma2000 SHO and FIS SHO with various fixed SHW and adapted T-DROP while still keeping an acceptable low outage probability