EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
WCDMA for UMTS: HSPA Evolution and LTE
WCDMA for UMTS: HSPA Evolution and LTE
Performance analysis of transmit beamforming for MISO systems with imperfect feedback
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Adaptive PSAM accounting for channel estimation and prediction errors
IEEE Transactions on Wireless Communications
Quantifying the power loss when transmit beamforming relies on finite-rate feedback
IEEE Transactions on Wireless Communications
Adaptive OFDM Systems With Imperfect Channel State Information
IEEE Transactions on Wireless Communications
Optimal Pilot Spacing and Power in Rate-Adaptive MIMO Diversity Systems with Imperfect CSI
IEEE Transactions on Wireless Communications
Transmit Beamforming with Analog Channel State Information Feedback
IEEE Transactions on Wireless Communications
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Block-error rate model for DPSK in Rayleigh- and sub-Rayleigh-fading channels
IEEE Journal on Selected Areas in Communications
On broadcasting with cooperative diversity in multi-hop wireless networks
IEEE Journal on Selected Areas in Communications
Hi-index | 35.68 |
Average packet error probability (PEP) is an important error statistic for wireless communication system designers. In this paper, we address the problem of analytically quantifying the effect of channel estimation errors, feedback delay and channel vector quantization on the PEP of transmit beamforming multiple-input-single-output (MISO) systems in a spatially independent slow-fading wireless channel environment. We develop an accurate characterization of estimation errors as well as errors due to feedback delay, and tools relevant for deriving analytical expressions for the PEP. The modeling highlights the distinction between errors that arise due to channel estimation from those that arise due to feedback delay and represents an important departure from past work. Analytical expressions are derived for the PEP with BPSK signaling. The derived approximated closed-form analytical expression is complemented by simulations.