Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Adaptive Modulation over Nakagami Fading Channels
Wireless Personal Communications: An International Journal
IEEE Transactions on Wireless Communications
Adaptive PSAM accounting for channel estimation and prediction errors
IEEE Transactions on Wireless Communications
Diversity with practical channel estimation
IEEE Transactions on Wireless Communications
Optimal Pilot Spacing and Power in Rate-Adaptive MIMO Diversity Systems with Imperfect CSI
IEEE Transactions on Wireless Communications
Largest eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems
IEEE Journal on Selected Areas in Communications
Adaptive beamforming with dimension reduction in spatially correlated MISO channels
IEEE Transactions on Wireless Communications
A novel, balanced, and energy-efficient training method for receive antenna selection
IEEE Transactions on Wireless Communications
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The impact of imperfect channel state information (CSI) on the performance of transmit-beamforming (TB) over multiple-input multiple-output (MIMO) Rayleigh fading channels when using constant-power rate-adaptive pilot symbol assisted modulation (PSAM) is investigated. Specifically, imperfect CSI is accounted for with respect to both estimation and prediction errors, thereby allowing to quantify the performance degradation of the adaptive PSAM-based TB system due to both channel estimation and prediction errors. Such errors entail a mismatch between the optimal transmit/receive beamforming weights and the transmission rate implied by the true CSI on the one hand, and the actual values of these quantities as determined based on the estimated and predicted CSI, on the other hand. The compound effect of both estimation and prediction errors on the overall system performance is assessed in terms of the achievable average spectral efficiency, average bit error probability and outage probability, for which approximate closed-form expressions are derived for arbitrary numbers of transmit and receive antennas. Furthermore, the latter metrics are used to optimize the PSAM parameters, namely the power allocation between data and pilot symbols as well as the pilot spacing in order to maximize the achievable average spectral efficiency while adhering to a fixed target bit error probability.