ABSTRACT Wireless channels change due to the mobility of users, which coupled with system delays, causes outdated channel state information (CSI) to be used for transmitter optimization techniques such as adaptive modulation. Channel prediction allows the system to adapt modulation methods to an estimated future CSI. The primary contribution of this paper is a low complexity channel prediction method using polynomial approximation. Temporal variation and frequency selectivity of wireless channels constitute a major drawback to the attainment of high gains in capacity and reliability offered by multiple antennas at the transmitter and receiver of a mobile communication system. Limited feedback and adaptive transmission schemes such as adaptive modulation and coding, antenna selection, power allocation and scheduling have the potential to provide the platform of attaining the high transmission rate, capacity and QoS requirements in current and future wireless communication systems. Theses schemes require both the transmitter and receiver to have accurate knowledge of Channel State Information (CSI). In Time Division Duplex (TDD) systems, CSI at the transmitter can be obtained using channel reciprocity. In Frequency Division Duplex (FDD) systems, however, CSI is typically estimated at the receiver and fed back to the transmitter via a low-rate feedback link. Due to the inherent time delays in estimation, processing and feedback, the CSI obtained from the receiver may become outdated before its actual usage at the transmitter. Accurate knowledge of time-varying wireless channel characteristics is important for current and future wireless communication systems where the channel power may vary by several orders of magnitude over a very short spatial distance traveled by the mobile terminal. These schemes consider the time-varying channel as a stochastic wide sense stationary (WSS) process and use the knowledge of the temporal autocorrelation function for prediction without explicitly modeling the physical scattering phenomenon causing the fading.