Adaptive modulation and coding for MIMO-OFDM systems using LMS channel prediction and CQI table adaptation

Authors:
Jin Whan Kang;Won Seok Park;Sang-Hyo Kim
Affiliations:
Sungkyunkwan University, Suwon, Republic of Korea;Sungkyunkwan University, Suwon, Republic of Korea;Sungkyunkwan University, Suwon, Republic of Korea
Venue:
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Year:
2011

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Abstract

In this paper, we propose an effective adaptive modulation and coding (AMC) scheme using channel prediction in MIMO-OFDM systems. In order to prevent utilization of outdated channel state information at transmitter (CSIT) due to feedback delay, we consider least mean square (LMS) channel prediction. LMS prediction can be implemented without any requirements of data on temporal statistics of fading channels, which is a burden of Wiener filter, and follow temporal optimum by adaptive adjustments of the filter coefficients. As enabling practical implementation, partial feedback, channel quality indicator (CQI), is considered and adaptive utilization of CQI mapping table is proposed to compensate limited LMS predictability in fast fading channels. Simulation results using different prediction parameters show that the proposed method improves system throughput at a target error rate when compared with the application of the Wiener filter.