Capacity enhancement in MCCDMA-MIMO system using iterative water filling approach based power distribution method

Abstract

Multicarrier CDMA (MC-CDMA) technology is the one of the major key solution for the development in future wireless communication systems. The further improvement of data transmission with the limited bandwidth is achieved by multiple-input multiple-output (MIMO) structure. The MC-CDMA system is subject to limiting factors such as multiple-access Interference (MAI) and inters carrier interference (ICI) and these interferences diminish attainable throughput performance. The transmission strategy to avoid the interference noise is by its power allocation to each user. The Game theory is an effective tool for examining power control problem in the MCCDMA technology with imperfect channel state information. The water filling algorithm in game theory is used to allocate proper power for every sub-channel in order to improve channel capacity. In this paper iterative water filling power control algorithm to allocate power for each user is adopted in MCCDMA-MIMO system. The water filling algorithm distributes power among all users with the help of SINR that is received by the transmitter instead of getting full channel state information. The capacity enhancement in MCCDMA is evaluated with and without water filling algorithm and further performance improvements are analyzed by transmitting through MIMO system.