Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels

By Quentin H. Spencer, A. L. Swindlehurst, Martin Haardt. IEEE Transactions on Signal Processing, 2004

3,320 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8cafdaf8aa75381e65bc31414598f318447f8fef

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Citations in the corpus

Fluid Antenna Systems (2020, background): “Since then, MIMO has continued to drive the development of wireless technology, taking the form of multiuser MIMO [7], [8] and most recently massive MIMO in the fifth generation (5G) [9], [10].”
Zero-Forcing Precoding and Generalized Inverses (2008, methodology): “Due to its simplicity, ZF precoding is also an appealing transmission method in multiple-input multiple-output (MIMO) broadcast channels [12]–[17].”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “An important special case is so-called zero-forcing beamforming9 [23, 46, 85, 115, 252, 297, 305], where the beamforming vectors are selected to cause zero interference to nonintended users.”
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (2014, methodology): “like coordinated Tx-Rx block diagonalization [26], may have more relaxed dimension constraints.”
The evolution to 4G cellular systems: LTE-Advanced (2010, background): “Precoding based on maximization of signal-to-leakage ratio [43] is another candidate approach to design the beamforming vectors that does not impose a restriction on the number of available transmit antennas and so is Block Diagonalization (BD) [44].”
Hybrid Block Diagonalization for Massive Multiuser MIMO Systems (2015, methodology): “precoding/combining scheme in [12] can be extended to the hybrid processing in MU-MIMO systems through decomposing the solution to the traditional BD scheme (the precoder MS and the MMSE combiners in [6]) via orthogonal matching pursuit where the BS and MSs choose the array response vectors of the c”
A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs (2024, methodology): “Since then, MIMO systems have been upgraded to multiuser MIMO, first in [58], [59] and then in the classical results [60], [61].”
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels (2007, background): “Other works have proposed schemes for perfectly canceling the CCI for each user (also referred to as zero-forcing solutions) [5], [6], [7], [8].”
Shifting the MIMO Paradigm (2007, background): “Assuming that H̃k is full rank, the transmitter requires that the number of transmit antennas is at least the sum of all users’ receive antennas to satisfy the dimensionality constraint required to cancel interference for each user [16].”
A Deep Learning Framework for Optimization of MISO Downlink Beamforming (2019, methodology): “To evaluate the performance of the proposed BNNs, we carry out numerical simulations to compare the BNNs with several benchmark solutions (when available), including the optimal beamforming, the ZF beamforming [58], the RZF beamforming [59], and the WMMSE algorithm.”
Performance metrics and design considerations for a free-space optical orbital-angular-momentum–multiplexed communication link (2015, positive): “The effects of lateral displacement and receiver angular error could be reduced if using such algorithms [33,34].”
A Survey of In-Band Full-Duplex Transmission: From the Perspective of PHY and MAC Layers (2015, methodology): “proposed a ZF method limited to the downlink channel only for the sake of simplicity [148].”
Joint Spatial Division and Multiplexing—The Large-Scale Array Regime (2012, positive): “Following the approach of [27], we define”
Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System (2013, methodology): “As a simple and practical alternative, zero-forcing beamforming (ZFBF) has been used to achieve maximum capacity under perfect channel state information at the transmitter (CSIT) [6]-[9].”
Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array (2017, methodology): “Therefore, we also consider another precoding scheme that exploits all of the beamspace channel vectors of users in the same beam, which is inspired by the precoding scheme used in conventional MU-MIMO systems [35].”
Degrees of Freedom Region of the MIMO $X$ Channel (2008, background): “One can create noninterfering channels through spatial zero forcing [10], i.”