On Achievable Data Rates and Optimal Power Allocation in Fading Channels with Imperfect Channel State Information

Authors:
Khaled Almustafa;Serguei Primak;Tricia Willink;Kareem Baddour
Affiliations:
Department of Electrical and Computer Engineering, The University of Western Ontario, London, Canada N6A 5B9;Department of Electrical and Computer Engineering, The University of Western Ontario, London, Canada N6A 5B9;Communications Research Centre, Ottawa, Canada K2H 8S2;Communications Research Centre, Ottawa, Canada K2H 8S2
Venue:
Wireless Personal Communications: An International Journal
Year:
2009

Citing 8
Cited 2

Elements of information theory

Elements of information theory
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise

Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Optimal training for time-selective wireless fading channels using cutoff rate

EURASIP Journal on Applied Signal Processing
Adaptive PSAM accounting for channel estimation and prediction errors

IEEE Transactions on Wireless Communications
The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel

IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?

IEEE Transactions on Information Theory
Capacity and power allocation for fading MIMO channels with channel estimation error

IEEE Transactions on Information Theory

On energy efficiency of pilot assisted modulation schemes

Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Performance Comparison of MIMO-STBC Systems with Adaptive Semiblind Channel Estimation Scheme

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Achievable rates of wireless communication systems with pilot-based channel estimation are investigated for the case of time-selective fading. Novel analytical expressions for the maximum achievable rates of such systems are derived in terms of the system signal-to-noise ratio (SNR), fading rate and estimation scheme deployed. The frame size is optimized jointly based on the SNR and the fading rate. The maximum rate achieving coding scheme is suggested and shown to be a modified version of the classical water-filling algorithm that accounts for imperfect channel state information (CSI) at the transmitter. The impact of the estimation scheme and the angular spread of the received signal on the quality of estimation and achievable rates is evaluated. A number of numerical simulations are provided to illustrate the dependence of the optimal block length and achievable rates on SNR, fading rate, estimation scheme and angular spread of the channel.