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Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading
By: Oien, G.E.; Hole, K.J.; Holm, H.;
2004 / IEEE
Description
This item was taken from the IEEE Periodical ' Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading ' Adaptive coded modulation (ACM) is a promising tool for increasing the spectral efficiency of time-varying mobile channels while maintaining a predictable bit-error rate (BER). An important restriction in systems with such a transmission scheme is that the transmitter needs to have accurate channel-state information (CSI). Earlier analysis of ACM systems usually assumes that the transmitter has perfect knowledge of the channel or that the CSI is accurate but outdated. In this paper, we investigate the effects of predicting the CSI using a linear fading-envelope predictor in order to enhance the performance of an ACM system. For the case in which multidimensional trellis codes are used on Rayleigh-fading channels, we obtain approximative closed-form expressions for BER and average spectral efficiency. Numerical examples are given for the case of Jakes correlation profile and maximum a posteriori-optimal predictor coefficients.
Related Topics
Adaptive Modulation
Modulation Coding
Adaptive Codes
Rayleigh Channels
Time-varying Channels
Error Statistics
Trellis Codes
Maximum Likelihood Estimation
Channel Estimation
Channel Coding
Jakes Correlation Profile
Channel Prediction
Rayleigh Fading Channels
Time-varying Channels
Mobile Channels
Bit-error Rate
Ber
Channel-state Information
Linear Fading-envelope Predictor
Multidimensional Trellis Codes
Maximum A Posteriori-optimal Predictor
Modulation Coding
Rayleigh Channels
Radio Transmitters
Bit Error Rate
Delay
Feedback
Closed-form Solution
Channel Estimation
Multidimensional Systems
Convolutional Codes
Mobile Communication
Aerospace
Transportation
Engineering
Adaptive Coded Modulation