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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...
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...
We evaluate traffic scheduling and QoS via a simulation model for wireless multimedia applications. This model utilizes a scheduling mechanism for performance assessment for different users carrying different applications. The scheduling mechanism is verified via simulations with a variety traffic characteristics and performance metrics. A toolbox for the model has been developed in MATLAB environment,...
This paper develops three kinds of possibility fuzzy chance constrained (PFCC) mixed-integer nonlinear programming models (MINLP) and the solution methods for the integrated problem of refinery short-term crude oil scheduling and storage management under demands uncertainty of CDUs (Crude-oil Distillation Units). To reduce the calculation complexity of these models, they are transformed into its equivalent...
A stochastic chance constrained mixed-integer nonlinear programming (SCC-MINLP) model is developed in this paper to solve the integrated problem of refinery short term crude oil scheduling, blending and storage management under demands uncertainty of crude oil distillation units (CDUs). It is the first time that the uncertain CDUs' demands in this problem are set as random variables which have discrete...
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