Vector quantization and signal compression
Vector quantization and signal compression
Optimal transmitter eigen-beamforming and space-time block coding based on channel mean feedback
IEEE Transactions on Signal Processing
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations
IEEE Transactions on Information Theory
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
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
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This paper addresses a novel design scheme of the limited feedback codebook when channel estimation is not ideal in a Multiple Input Single Output (MISO) system. Transmit beamforming relies on the current channel knowledge, take the estimation error into the consideration of the codebook design can improve the system performance. We propose a simple codebook design algorithm that allows the codebook to be easily modified when either the spatial correlation or the channel estimation error changes. With the lower complexity and lighter storage burden, our scheme can reach almost the same ergodic capacity performance with the Lloyd algorithm. Numerical results verify the effectiveness of our proposed scheme.