Multiuser MIMO achievable rates with downlink training and channel state
IEEE Transactions on Information Theory
Noncooperative cellular wireless with unlimited numbers of base station antennas
IEEE Transactions on Wireless Communications
Three-dimensional spatial fading correlation models for compact MIMO receivers
IEEE Transactions on Wireless Communications
On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error
IEEE Transactions on Wireless Communications
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
On the distribution of SINR for the MMSE MIMO receiver and performance analysis
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Polarized MIMO channels in 3-D: models, measurements and mutual information
IEEE Journal on Selected Areas in Communications
Transceiver Design for MIMO Systems with Improper Modulations
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
A Novel CSI Feedback Method for Dynamic SU/MU MIMO Adaptation
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
Three-dimensional (3D) multiple-input multiple-output (MIMO) systems exploit spatial richness and provide another degree of freedom to transmit signals and eliminate spatial interference. Currently, however, there is no 3D codebook for two-dimensional (2D) antenna array MIMO systems with limited feedback. In this paper, based on the existing 2D codebook, we present a limited feedback and transmission scheme for 2D antenna array MIMO systems. In this scheme, the mobile station (MS) has imperfect channel knowledge, and the base station (BS) only acquires partial information relating the channel instantiation. MS must feed back two channel state information (CSI) instances, i.e., the horizontal and vertical CSIs. After receiving the two CSI instances, the BS interpolates a new vertical precoding vector using the vertical CSI. Then, the BS re-constructs a 3D beamforming vector using horizontal and vertical precoding vectors and compensates the reported horizontal channel quality indicator. System level simulation is employed, and the simulation results show that the proposed method improves the system spectral efficiency and the cell-edge SE significantly.