Block Diagonalization
Lattice reduction aided with block diagonalization for multiuser MIMO systems
... The block diagonalization (BD) precoding technique is a well-known linear transmit strategy for multiuser multi-input multi-output (MU-MIMO) systems. The MU-MIMO broadcast channel is decomposed into ...
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Performance Analysis of Low Density Parity Check Codes Aided Block Diagonalization using Space Time Block Codes for MIMO Systems
... LDPC is an efficient encoding technique when compared with TCM, BD reduces the effect of MUI and STBCs reduces signal fading effects. In this paper, we proposed LDPC aided Block Diagonalization technique ...
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Performance of Block Diagonalization Broadcasting Scheme for Multiuser MIMO System Operating in Presence of Spatial Correlation and Mutual Coupling
... ing and decoding. An alternative strategy is the block diagonalization (BD) [5,6]. Compared with DPC sche- me, BD is a suboptimal technique with much reduced complexity. Using this technique, signals are ...
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Performance of Block Diagonalization Scheme for Downlink Multiuser MIMO System with Estimated Channel State Information
... the block diagonalization is illustrated as a function of data SNR and channel estimation ...the block diagonalization while the co-channel interference introduced by channel estimation errors ...
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Constrained power allocation schemes for coordinated base station transmission using block diagonalization
... RESEARCH Open Access Constrained power allocation schemes for coordinated base station transmission using block diagonalization Ana Garc?a Armada1*, Matilde S?nchez Fern?ndez1 and Roberto Corvaja2 Abs[.] ...
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Block diagonalization for Multi user MIMO Beamforming Performance over Rician Channel
... mobile communication faces adversities due to noise and fading. At same cell, users can cause the co-channel interference (CCI) between each other. Thereby, CCI can deteriorate the downlink channel’s capacity. Depending ...
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Block Diagonalization with Multiuser Beamforming for Coordinated Multi-Point Transmission
... In this paper, we proposed an enhancement to block diagonalization that uses information about the CCI covariance matrix for each user to improve the sum rate. Numerical examples verified that the proposed ...
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Mode Switching for the Multi-Antenna Broadcast Channel Based on Delay and Channel Quantization
... or block- diagonalization (BD) precoding, it was shown in [7, 13] that the quantization codebook size for limited feedback needs to increase linearly with SNR (in dB) and the num- ber of transmit ...
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Non-unitary matrix joint diagonalization for complex independent vector analysis
... joint block diagonalization approaches are shown to be effective methods for solving the ISA problem, ...joint block diagonalization approaches do not take the intrinsic structure of the IVA ...
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Performance Enhancement of Multi cell Multiuser MIMO
... In this paper, I describe the MU-MIMO system model firstly. Then I analyzed linear precoding schemes such as zero forcing (ZF), regularized channel inversion (also called MMSE), block diagonalization (BD) ...
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Downlink Precoding Methods for Multi-user Multiple Input-Multiple Output (MU-MIMO). Trapti Saxena1 and Akant Kumar Raghuwanshi2
... coding, Block diagonalization (BD) and Minimum mean square error pre coding (MMSE) and zero compelling (ZF), and in Non Linear pre coding, Tomlinson Harashima Pre coding (THP) and Dirty Paper Coding (DPC) ...
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A Novel DOA Estimation Approach for Unknown Coherent Source Groups with Coherent Signals
... constructs the data vector which contains all DOA information. Then, it constructs rotation matrix and finally estimates signal DOAs. In [12], Joint Approximate Diagonalization of Eigenmatrices (JADE) and MUSIC ...
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HungDangPRC82(2010)044316
... operators on the kth orbitals, respectively. The subscripts k here imply the single-particle states in the deformed basis. This Hamiltonian describes a system of N particles (protons or neu- trons) interacting via a ...
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Joint DOD and DOA Estimation for Bistatic MIMO Radar Without Eigenvalue Decomposition
... Abstract—A low computational complexity direction of departure (DOD) and direction of arrival (DOA) estimation method is derived for bistatic multiple-input multiple-output (MIMO) radar. In this method, we propose a ...
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Machine learning density functional theory for the Hubbard model
... We have used here machine learning to construct the exact energy functional for the inhomogeneous Hubbard model. This is provided by a convolutional neural network con- structed over exact results obtained by exact ...
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Zero energy modes and valley asymmetry in the Hofstadter spectrum of bilayer graphene van der Waals heterostructures with hBN
... Examples of the zero magnetic field K-valley band- structure of moir´ e perturbed BLG with θ = 0 are dis- played in the left panels of Fig. 1. These spectra were calculated by numerical diagonalization of the ...
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Small world spectra in mean field theory
... Collective dynamics on small-world networks emerge in a broad range of systems with their spectra characterizing fundamental asymptotic features. Here we derive analytic mean field predictions for the spectra of ...
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Single channel noise reduction using unified joint diagonalization and optimal filtering
... joint diagonalization of the desired and noise signal covariance ...joint diagonalization is used, the method will work for all kinds of noise, as opposed to, ...
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A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
... joint diagonalization with a non-orthogonal transformation, we avoid the problematic pre-whitening step and obtain an estimate of the mixing matrix A = V −1 by applying our FFD IAG algorithm directly to the ...
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Bethe ansatz for quantum strings
... Abstract: We propose Bethe equations for the diagonalization of the Hamiltonian of quantum strings on AdS5 ×S 5 at large string tension and restricted to certain large charge states from[r] ...
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