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Zero Forcing in triangulations
Journal of Computational and Applied Mathematics, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carlos G. Hernández +2 more
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NOMA With Zero-Forcing V-BLAST
IEEE Communications Letters, 2020In this study, power-domain non-orthogonal multiple access (NOMA) is combined with zero-forcing (ZF) vertical Bell Labs layered space-time (V-BLAST) technique. Motivated by the fact that the successive interference cancellation (SIC) is a pivotal element in either technique, we thoroughly investigate the impact of SIC on inter-user and inter-layer ...
Serdar Özyurt +2 more
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Prior Zero Forcing for Cognitive Relaying
IEEE Transactions on Wireless Communications, 2013Relaying primary signals by cognitive base-stations (CBSs) can help the primary system and thus win CBSs a higher chance to transmit their own signals. For this purpose, conventional zero-forcing (CZF) beamforming is a straightforward solution where the primary and cognitive signals are transmitted from a multi-antenna CBS without causing interference ...
Shenghui Song 0001 +2 more
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Robust transmit zero-forcing filters
ITG Workshop on Smart Antennas (IEEE Cat. No.04EX802), 2005We present linear and nonlinear robust transmit zero-forcing filters for the downlink of multiuser multiple-input single-output (MU-MISO) time-division-duplex (TDD) systems which are robust with respect to errors in the channel state information (CSI) arising from channel estimation and time lags in mobile communications.
Raphael Hunger +3 more
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Zero-Forcing and MMSE Precoding for G.fast
2015 IEEE Global Communications Conference (GLOBECOM), 2014Hybrid copper/fiber networks bridge the gap between the fiber link at the distribution point and the customer by using copper wires over the last meters. The G.fast transmission technology has been designed to be used in such a fiber to the distribution point (FTTdp) network.
Rainer Strobel +2 more
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Leaky Zero-Forcing Adaptive Equalization
IEEE Signal Processing Letters, 2004Zero-forcing equalizer adaptation schemes are attractive because of their simplicity. We study their steady-state solution, and find that it is more poorly conditioned than that of least mean-square adaptation schemes. A simple yet effective solution to this problem, based on tap leakage, is proposed, analyzed, and exemplified for an idealized digital ...
Bergmans, J.W.M., Lin, M.Y.
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On the Zero Forcing Number of Bijection Graphs
2016The zero forcing number of a graph is a graph parameter based on a color change process, which starts with a state, where all vertices are colored either black or white. In the next step a white vertex turns black, if it is the only white neighbor of some black vertex, and this step is then iterated.
Denys Shcherbak +2 more
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Coordinated beamforming with relaxed zero forcing
2011 International Conference on Wireless Communications and Signal Processing (WCSP), 2011In this paper, a new beam design paradigm for coordinated beamforming (CB) for current and future cellular networks is proposed based on a relaxed zero-forcing (RZF) constraint. In the conventional zero-forcing (ZF) CB, each cooperating transmitter designs its transmit beamforming matrix to null out interference to undesired receivers completely.
Gilwon Lee +3 more
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On sparse multimode zero forcing transceivers
2015 IEEE International Conference on Digital Signal Processing (DSP), 2015This paper introduces sparse multimode zero forcing transceivers in which a combination of l 1 -norm minimization and the Farrow structure allows efficient low-cost channel equalization. Specifically, the Farrow structure (i) realizes multimode pulse shaping filters, and (ii) equalizes the amplitude distortion. The phase distortion is equalized using a
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The Performance of Zero Forcing DSL Systems
IEEE Signal Processing Letters, 2013DSL systems use multi-channel processing to mitigate the electromagnetic coupling between the wires in a binder and provide high data rates to multiple users. In recent years, most multichannel processing for DSL had focused on zero-forcing (ZF) processing that was proven to be near optimal.
Itsik Bergel, Amir Leshem
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