Comparison of computational complexity of adaptive equalization and OFDM for indoor wireless networks

Abstract

The computational requirements are investigated of conventional decision-feedback adaptive equalization using the least-mean-square (LMS) algorithm and orthogonal frequency division multiplexing (OFDM). This comparison was initiated to determine the least computationally intensive way of countering multipath effects in indoor wireless networks. Data rates examined ranged from 10 Mbits/s to 100 Mbits/s. For these data rates it was found that OFDM presents a significantly lower computational burden.