Equal gain transmission in multiple-input multiple-output wireless systems

By D. J. Love, Robert W. Heath. Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE, 2002

386 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/60d9e3a67c8ce3af199ac0bcf5441e605e372469

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Hybrid Block Diagonalization for Massive Multiuser MIMO Systems (2015, background): “A single-stream communication under the Rayleigh fading MI MO channels achieves the full diversity order through the equal gain transmission/combi ning (EGT/EGC) in [7], while the multiple-stream transmission under MIMO channels is propo sed in [8].”
Spatially Sparse Precoding in Millimeter Wave MIMO Systems (2013, background): “The work in [20]–[25] develops iterative precoding algorithms for systems that leverage analog processing, and [26] further proposes simple analytical solutions.”
Multiuser Two-Way Amplify-and-Forward Relay Processing and Power Control Methods for Beamforming Systems (2010, methodology): “where can be designed from the CSI to obtain diversity gain [25].”
End-to-End Simulation of 5G mmWave Networks (2017, methodology): “Beamforming vectors can then be computed from the maximal eigenvectors of the covariance matrices [62].”
Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems (2014, background): “Works in [4]–[7], however, do not consider the multiuser scenario and are not aimed to maximize the capacity performance in the large array regime.”
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection (2005, background): “For , the optimization problem in (5) is constrained to the so-called -torus [37], and the formulation is also known as equal gain combining (EGC) [38].”
Multimode antenna selection for spatial multiplexing systems with linear receivers (2005, background): “Related work on quantized precoding has focused on quantized beamforming [24]–[ 26 ] and quantized precoding for spatial multiplexing systems [27].”
On the performance of random vector quantization limited feedback beamforming in a MISO system (2007, background): “Recent work has extended the concept of limited feedback beamforming to quantized equal gain transmission [ 3 ] and to more general Grassmannian beamforming [4]‐[6].”
An overview of limited feedback in wireless communication systems (2008, methodology): “Fourie r concepts for codebook design were first introduced in [199].”