Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Probability Distributions Involving Gaussian Random Variables: A Handbook for Engineers, Scientists and Mathematicians
On the throughput of opportunistic beamforming with imperfect CSI
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
A design framework for scalar feedback in MIMO broadcast channels
EURASIP Journal on Advances in Signal Processing
Multimode antenna selection for spatial multiplexing systems with linear receivers
IEEE Transactions on Signal Processing - Part II
Design and Analysis of MIMO Spatial Multiplexing Systems With Quantized Feedback
IEEE Transactions on Signal Processing
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
Quantifying the power loss when transmit beamforming relies on finite-rate feedback
IEEE Transactions on Wireless Communications
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
Robust Rate, Power and Precoder Adaptation for Slow Fading MIMO Channels with Noisy Limited Feedback
IEEE Transactions on Wireless Communications
Performance of TDMA and SDMA based Opportunistic Beamforming
IEEE Transactions on Wireless Communications - Part 1
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
Fundamental Limits in MIMO Broadcast Channels
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
Limited feedback-based block diagonalization for the MIMO broadcast channel
IEEE Journal on Selected Areas in Communications
Achievable throughput of multi-mode multiuser MIMO with imperfect CSI constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Multi-mode transmission for MIMO broadcast channels with PU2RC
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Scheduling for multiuser MIMO broadcast systems: transmit or receive beamforming?
IEEE Transactions on Wireless Communications
Adaptive spatial intercell interference cancellation in multicell wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Wireless Personal Communications: An International Journal
Robust Non-linear Precoder for Multiuser MISO Systems Based on Delay and Channel Quantization
Wireless Personal Communications: An International Journal
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Imperfect channel state information degrades the performance of multiple-input multiple-output (MIMO) communications; its effects on single-user (SU) and multiuser (MU) MIMO transmissions are quite different. In particular, MU-MIMO suffers from residual interuser interference due to imperfect channel state information while SU-MIMO only suffers from a power loss. This paper compares the throughput loss of both SU and MU-MIMO in the broadcast channel due to delay and channel quantization. Accurate closed-form approximations are derived for achievable rates for both SU and MU-MIMO. It is shown that SU-MIMO is relatively robust to delayed and quantized channel information, while MU-MIMO with zero-forcing precoding loses its spatial multiplexing gain with a fixed delay or fixed codebook size. Based on derived achievable rates, a mode switching algorithm is proposed, which switches between SU and MU-MIMO modes to improve the spectral efficiency based on average signal-to-noise ratio (SNR), normalized Doppler frequency, and the channel quantization codebook size. The operating regions for SU and MU modes with different delays and codebook sizes are determined, and they can be used to select the preferred mode. It is shown that the MU mode is active only when the normalized Doppler frequency is very small, and the codebook size is large.