In the future communications, cell-free networks are considered very promising, owing to their robustness against inter-cell interference which degrades the user signal-to-interference-plus-noise-ratio (SINR). For an ...
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ISBN:
(纸本)9783903176607
In the future communications, cell-free networks are considered very promising, owing to their robustness against inter-cell interference which degrades the user signal-to-interference-plus-noise-ratio (SINR). For an efficient network to achieve an enhanced capacity at a minimized power consumption, reconfigurable intelligent surfaces (RIS) are promoted as a key candidate 6G technology. In this paper, a joint precoding RIS aided cell-free Multiple-Input-Multiple-Output (MIMO) network is considered, where a weighted sum rate (WSR) maximization problem is formulated and decoupled into subproblems. A feasible solution is then obtained using fractional programming (FP). Finally, the performance of passive RIS and active RIS is then compared.
This paper presents a quadraticconstraintquadratic estimation (QCQE) model for three-phase distribution network state estimation. The proposed model takes into account the measurements collected by SCADA and phasor ...
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ISBN:
(纸本)9781538685495
This paper presents a quadraticconstraintquadratic estimation (QCQE) model for three-phase distribution network state estimation. The proposed model takes into account the measurements collected by SCADA and phasor measurement units (PMUs). Rectangular coordination is adopted to decompose phasor measurement values and state variables into real and imaginary parts. By introducing intermediate variables and quadratic equality constraints, the measurement models proposed are quadratic polynomial in order to establish QCQE model, which can be solved by suitable optimization algorithm with sparse techniques. This method can decouple the modeling and the algorithm implementation of state estimation, reducing repeating work and enhancing the efficiency of algorithm implementation significantly. Numerical tests on the IEEE 33-bus system demonstrate that the proposed method is robust and efficient.
This paper proposes a robust adaptive beamforming method based on the l(1) norm sparse constraint. The solution of this algorithm involves introducing the l(1) norm to find better beamforming weight vectors. To contro...
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ISBN:
(纸本)9798350360332;9798350360325
This paper proposes a robust adaptive beamforming method based on the l(1) norm sparse constraint. The solution of this algorithm involves introducing the l(1) norm to find better beamforming weight vectors. To control the sidelobe level, the power constraint in the Direction of Arrival (DOA) of the Signal of Interest (SOI) is relaxed. We reformulate the adaptive beamforming problem as a quadratic constraint quadratic programming (QCQP) with an l(1) norm constraint, achieving better sparsity. The QCQP problem is solved using semi-definite relaxation. The beam pattern generated by the proposed algorithm exhibits low sidelobes and excellent robustness. Simulation results validate the effectiveness of the proposed adaptive beamforming algorithm.
This paper presents a quadraticconstraintquadratic estimation (QCQE) model for three-phase distribution network state estimation. The proposed model takes into account the measurements collected by SCADA and phasor ...
详细信息
This paper presents a quadraticconstraintquadratic estimation (QCQE) model for three-phase distribution network state estimation. The proposed model takes into account the measurements collected by SCADA and phasor measurement units (PMUs). Rectangular coordination is adopted to decompose phasor measurement values and state variables into real and imaginary parts. By introducing intermediate variables and quadratic equality constraints, the measurement models proposed are quadratic polynomial in order to establish QCQE model, which can be solved by suitable optimization algorithm with sparse techniques. This method can decouple the modeling and the algorithm implementation of state estimation, reducing repeating work and enhancing the efficiency of algorithm implementation significantly. Numerical tests on the IEEE 33-bus system demonstrate that the proposed method is robust and efficient.
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