SNR-based adaptive modulation for wireless LAN systems

Adaptive modulation is a link adaptation technique that dynamically adjusts modulation level and code rate to the time-varying channel conditions in order to obtain considerably high data rates. In this paper, we propose a new adaptive modulation algorithm in which an modulation and coding scheme level is selected by the received SNR plus the offset value obtained from the transmission results. Simulations, which are done in the IEEE 802.11n environment, show that the proposed algorithm performs better than the well-known adaptive modulation algorithms such as auto rate fallback and general SNR-based techniques. Particularly, the proposed algorithm has more robust throughput performance while satisfying the target packet error ratio for fast fading channels.