Adaptation using neural network in frequency selective MIMO-OFDM systems
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Cross-Layer Fast Link Adaptation for MIMO-OFDM Based WLANs
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
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In this paper, we study the problem of link adaptation based on adaptive modulation and coding for multiple antenna OFDM system in slow fading channel. Based on the extrinsic information transfer analysis, we give an accurate packet error rate prediction with channel estimation errors. This method uses Gaussian approximation to characterize the output of the detector and decoder. We also discuss approaches for searching and selecting the best modulation and coding scheme for the link adaptation algorithm. Finally, the performance of the proposed link adaptation algorithm is studied for the IEEE 802.11n multiple-antenna OFDM system. Good system throughput are achieved using the proposed method, compared to the SNR based algorithm.