METHOD AND APPARATUS FOR REDUCED COMPLEXITY CQI FEEDBACK IN WIRELESS COMMUNICATION SYSTEMS

Adaptive Modulation and Coding Scheme (MCS) selection is used in many wireless communication systems. The goal of Adaptive MCS selection is to use the most suitable MCS for any particular channel conditions. Often, the MCS selection is based on channel measurements by the client terminal. The relationship between the block error rate (BLER) and the Signal-to-Interference-plus-Noise Ratio (SINR) is not linear. The BLER is often determined by the lowest SINR rather than the average SINR experienced by the set of bits that are part of the block. The Exponential Effective SINR Mapping (EESM) method is often used to compute effective SINR for adaptive MCS selection. However, the complexity of selecting the optimum channel feedback from the client terminal to the base station is typically high. A method and apparatus are disclosed that enable EESM for selecting the most suitable MCS with reduced complexity and reduced power consumption.