Zero-Forcing Precoding and Generalized Inverses
By Ami Wiesel, Yonina C. Eldar, Shlomo Shamai. IEEE Transactions on Signal Processing, 2008
618 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/4759700c1136dffb385e53d2a89dbe30d63d9693
How researchers see this paper
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In Computer Networks and Communications
- Emil Björnson
- Luca Sanguinetti
- Merouane Debbah
- T. Marzetta
- Erik G. Larsson
- Alexei E. Ashikhmin
- Björn E. Ottersten
- Eduard Axel Jorswieck
In Electrical and Electronic Engineering
- Emil Björnson
- Luca Sanguinetti
- Erik G. Larsson
- Merouane Debbah
- Rui Zhang
- T. Marzetta
- Jakob Hoydis
- Wei Yu
Citations in the corpus
- Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays (2017, background): “…in designing transceivers for mmWave system using large-scale antenna arrays is that the implementation of the conventional fully-digital beamforming schemes such as in [8]–[10] may not be practical because fully-digital beamforming schemes require one separate RF chain for each antenna element.”
- Precoding and Power Optimization in Cell-Free Massive MIMO Systems (2017, background): “In [28], it was pointed out that this ZF precoder is in general suboptimal for the power control problem subject to per antenna power constraints and finding an optimal precoder involves numerical algorithms.”
- Generic Optimization of Linear Precoding in Multibeam Satellite Systems (2011, methodology): “The channel pseud o inverse provides one simple solution to realize ZF precodin g [6].”
- Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback (2009, background): “It has been shown in [4], [9]–[11], that suboptimal linear precoders can achieve a large portion of the BC rate region while featuring low computational complexity.”
- Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, methodology): “ZF methods facilitate obtaining closed-form, tractable, and interpretable precoders [58], [69].”
- Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges (2017, methodology): “References [37] and [41] proposed another AN precoding technologies, called orthogonal blinding, to achieve Q for secrecy MIMO communications, where a transmitter needs at least two antennas in order to send noise into an orthogonal channel of the main channel by precoding.”
- Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, methodology): “In [142] and [157], orthogonal blinding, another AN pre-coding technique was introduced to achieve positive secrecy in MIMO communication systems, where a transmitter requires at least two antennas to send noise into an orthogonal channel of the main channel by precoding.”
- Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “Under general power constraints and flexible power allocation, the channel inverse becomes a generalized inverse [297] and lacks a simple closed-form expression.”