Cross entropy based soft handover in CDMA viral mobile communication network

One of key technologies for third generation (3G) broadband communication is the code division multiple access (CDMA). The fundamental advantage of CDMA is that there is no need for frequency planning while implementing the CDMA network. This unique feature of CDMA is used for the implementation of the adhoc network called as viral mobile communication (VMC) network. In case of CDMA, soft handover is the very crucial activity for the transmission of on-going call from one area to another geographical area. The speed of the mobile is the major concern to initiate the handover. In case of soft handover, the CDMA network requires two links for smooth migration of the call from old geographical area to new geographical area. This increases the burden on the network and results in an unbalanced network load. To balance the load and minimize the burden on the network, VMC network is implemented. In order to smoothly execute the soft handover and also reduce the burden on the network, the probability of VMC is calculated during soft handover. The proposed system employs network simulator version 2 (NS-2) to monitor the performance parameters of the CDMA based VMC network. The success rate of handover in the VMC network is calculated, and a mathematical analysis is conducted to determine the probability of handover in the geographical area, as well as the probability of VMC during the handover, using cross-entropy. The result shows that the performance metrics like packet delivery ratio and throughput with CDMA outperforms without CDMA based VMC network. Also, the probability of soft handover is 0.37. For a given probability of soft handover, the probability of VMC during handover is calculated using cross-entropy, resulting in an optimized value of 0.136. Consequently, the burden on the VMC-based CDMA network is reduced to 13.6%.