An Algorithm of Optimizing Neighbor Cell List in CDMA System

Abstract

In the CDMA cellular mobile communication system, the order of neighbor cell list (NCL) determines whether the mobile station can make a success handoff to the best neighbor in time. Therefore, the success rate of handoff depends on the suitability of the NCL's management, which directly affects network performance. Traditional NCL algorithm used the method of manual observation and was adjusted by the long-term performance data. This paper presents a new algorithm of optimizing NCL, which based on the pilot signal interference ratio (Ec / Io) from daily test data and realizes it in a real CDMA network. The simulation results show that this algorithm reduces manual labor and also considerably has reference value for daily optimization.