TY - GEN
T1 - A simple SNR representation method for AMC schemes of MIMO systems with ML detector
AU - Kim, Jihoon
AU - Lee, Kyoung Jae
AU - Lee, Inkyu
PY - 2009
Y1 - 2009
N2 - Adaptive modulation and coding (AMC) is a powerful technique to enhance the link performance by adjusting the transmission power, channel coding rates and modulation levels according to channel state information. In order to efficiently utilize the AMC scheme, an accurate signal-to-noise ratio (SNR) value is normally required for determining the AMC level. In this paper, we propose a simple method to represent the SNR values for maximum likelihood (ML) detector in multi-input multi-output (MIMO) systems. By analyzing the relation between the upper bound and the lower bound of the ML detector performance, we introduce an efficient way to determine the SNR for the ML receiver. Based on the proposed SNR representation, an AMC scheme for single antenna systems can be extended to MIMO systems with ML detector. From computer simulations, we confirm that the proposed SNR representation allows us to achieve almost the same system throughput as the optimum AMC systems in frequency selective channels with reduced complexity.
AB - Adaptive modulation and coding (AMC) is a powerful technique to enhance the link performance by adjusting the transmission power, channel coding rates and modulation levels according to channel state information. In order to efficiently utilize the AMC scheme, an accurate signal-to-noise ratio (SNR) value is normally required for determining the AMC level. In this paper, we propose a simple method to represent the SNR values for maximum likelihood (ML) detector in multi-input multi-output (MIMO) systems. By analyzing the relation between the upper bound and the lower bound of the ML detector performance, we introduce an efficient way to determine the SNR for the ML receiver. Based on the proposed SNR representation, an AMC scheme for single antenna systems can be extended to MIMO systems with ML detector. From computer simulations, we confirm that the proposed SNR representation allows us to achieve almost the same system throughput as the optimum AMC systems in frequency selective channels with reduced complexity.
UR - http://www.scopus.com/inward/record.url?scp=77951454979&partnerID=8YFLogxK
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U2 - 10.1109/VETECF.2009.5379000
DO - 10.1109/VETECF.2009.5379000
M3 - Conference contribution
AN - SCOPUS:77951454979
SN - 9781424425150
T3 - IEEE Vehicular Technology Conference
BT - Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
T2 - 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
Y2 - 20 September 2009 through 23 September 2009
ER -