A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization

By Christian B. Peel, Bertrand M. Hochwald, A. L. Swindlehurst. IEEE Transactions on Communications, 2005

1,733 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4fddf3a1dde6b9a1e04aaf4a916e962f233bc943

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Citations in the corpus

Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes] (2014, background): “(17) The heuristic beamforming in (17) is known as regularized zero-forcing beamforming [10] since the identity matrix acts as a regularization of the ZFBF in (14).”
Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems (2013, background): “…with respect to net spectral-efficiency and radiated energy-efficiency in a simplified single-cell scenario where propagation is governed by independent Rayleigh fading, and where channel-state information (CSI) acquisition and data transmission are both performed during a short coherence interval.”
AirSync: Enabling Distributed Multiuser MIMO With Full Spatial Multiplexing (2012, methodology): “tation simplicity, and nearoptimal performance when allowing for exible user selection [9,38]. In the future we plan to experiment with more sophisticated precoding techniques, such as regularized ZF [22], lattice reduction precoding [37] and modied Tomlinson-Harashima precoding [5], which can be re”
Exploiting Known Interference as Green Signal Power for Downlink Beamforming Optimization (2015, background): “On the other hand, linear precoding schemes based on channel inversion [7]–[13] offer the least complexity, but their performance is far from achieving the optimummaximum likelihood bound for small scale MIMO systems, while the contrary has been shown for large scale MIMO [14]–[16].”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “The definition of zero-forcing beamforming is based on [23, 203].”
MIMO Broadcast Channels With Finite-Rate Feedback (2006, background): “The use of the regularization constant M P is well motivated by results in [ 30 ] as well as the optimal MMSE”
5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice (2017, background): “…usually based on established techniques such as matched ﬁltering (MF, F = H H D MF ), zero-forcing (ZF, F = H H ( HH H ) − 1 D ZF ), regularized ZF [119] (RZF, F = H H (α I + HH H ) − 1 D RZF ), signal to leakage based pre-coding (SLNR) and block diagonalization (BD), where the diagonal matrices,…”
MIMO techniques in WiMAX and LTE: a feature overview (2010, methodology): “Zero-forcing MU-MIMO [ 9 ] is one linear MU-MIMO technique commonly assumed in both standards, where the precoding matrix at the transmitter is not unitary.”
A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation (2005, methodology): “As shown in [1], plain channel inversion performs poorly, because has a badly behaved large eigenvalue.”
Generic Optimization of Linear Precoding in Multibeam Satellite Systems (2011, background): “In terms of precoding techniques, THP was studied in [9] and [12], while linear precoding such as ZF and R-ZF were evaluated in [1], [9].”
Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts (2019, background): “2 Based on the results in [25], the beamformer can be given by”