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A new volume-based user selection algorithm with low complexity is proposed for a multiuser multiple-input and multiple-output downlink system based on block diagonalisation precoding. The new algorithm achieving this reduced computational complexity is compared with other user selection algorithms, such as semi-orthogonal user selection (SUS) and capacity-based user selection algorithms. The proposed...
Free Probability Theory (FPT) portrays a strong link between free probability and eigenvalue distributions of large random matrices. The FPT can be utilized to the digital communication systems that can be modelled by the random matrices. Especially, the asymptotic behaviour of the systems can be described by the FPT. In this paper, a new FPT detection scheme for spectrum sensing is proposed for a...
We investigate a MIMO double-scattering model with both local and remote scatterers, aiming to investigate the effect of scatterer density on channel performances, such as capacity, correlation, and the condition number of the channel matrix in flat and frequency-selective fading channels. The investigations are carried out in terms of scatterer density. It is shown that in flat fading channels the...
An improved scheduling algorithm is proposed for optimizing the sum-rate gain in a multiuser Multiple-Input and Multiple-Output (MU-MIMO) downlink system with limited feedback and Block Diagonalization (BD) precoding. A low bits feedback for user selection is followed by a high bits feedback to improve the system sum-rate capacity. Based on our analysis and the simulation result, it shows that the...
A new volume-based scheduling algorithm for user selection is proposed for a multiuser multiple-input and multiple-output downlink system based on block diagonalization precoding. The proposed algorithm has the advantage of the reduced computational complexity achieved by using the new volume-based user selection method that uses the product of the diagonal elements in the upper-triangular matrix...
A new scheduling algorithm with low complexity for user selection is proposed for a multiuser multiple-input and multiple-output (MU-MIMO) downlink system based on block diagonalization (BD) precoding. The new algorithm provides equivalent system performance evaluated as sum-rate capacity in comparison with other user selection algorithms, such as semiorthogonal user selection (SUS) and capacity-based...
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