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Multibit Quantized Precoding for MU-mMIMO
Getuar Rexhepi, Shreesal Shrestha, Christoph Studer +1
We propose a novel multibit quantized precoding method for the downlink of multi-user massive MIMO systems with low-resolution digital-to-analog converters. The new method, termed…
Low Rank Tensor Completion via Adaptive ADMM
Niclas Führling, Getuar Rexhepi, Giuseppe Thadeu Freitas de Abreu
We consider a novel algorithm, for the completion of partially observed low-rank tensors, as a generalization of matrix completion. The proposed low-rank tensor completion (TC) met…
Regularized Approximate Message Passing for Overloaded Discrete Linear Inversion
Shreesal Shrestha, Getuar Rexhepi, Kuranage Roche Rayan Ranasinghe +2
We propose regularized approximate message passing (RAMP), a low-complexity algorithm for discrete signal detection in overloaded multiple-input multiple-output (MIMO) systems wher…
1-bit Quantized Continuous Aperture Arrays
Kuranage Roche Rayan Ranasinghe, Getuar Rexhepi, Zhaolin Wang +1
Continuous aperture arrays (CAPAs) have emerged as a promising physical-layer paradigm for sixth generation (6G) systems, offering spatial degrees of freedom beyond those of conven…
Discrete Aware Tensor Completion via Convexized -Norm Approximation
Niclas Führling, Getuar Rexhepi, Giuseppe Abreu
We consider a novel algorithm, for the completion of partially observed low-rank tensors, where each entry of the tensor can be chosen from a discrete finite alphabet set, such as…