1 citations · 1 across the 11 of their papers we have counts for
11 papers
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…
Manifold Optimization-based Pilot Allocation for Cell-Free Massive MIMO ISAC Systems
Getuar Rexhepi, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu
We address the challenge of pilot design in cell-free massive multiple input multiple output (CF-mMIMO) integrated sensing and communications (ISAC) systems. We propose a novel pil…
Low-complexity Leakage Minimization Beamforming for Large-scale Multi-user Cell-Free Massive MIMO
Iván Alexander Morales Sandoval, Marko Fidanovski, Getuar Rexhepi +2
We propose a low-complexity beamforming (BF) scheme for secrecy-rate maximization in multi-user (MU) cell-free massive multiple-input multiple-output (CF-mMIMO) systems, where legi…
Quantum Manifold Optimization: A Design Framework for Future Communications Systems
Getuar Rexhepi, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu
Inspired by recent developments in various areas of science relevant to quantum computing, we introduce quantum manifold optimization (QMO) as a promising framework for solving con…
Blinding the Wiretapper: RIS-Enabled User Occultation in the ISAC Era
Getuar Rexhepi, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu +1
An undesirable consequence of the foreseeable proliferation of sophisticated integrated sensing and communications (ISAC) technologies is the enabling of spoofing, by malicious age…
Tone Reservation-Based PAPR Reduction Using Manifold Optimization for OFDM-ISAC Systems
Getuar Rexhepi, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +1
We consider the peak-to-average power ratio (PAPR) reduction challenge of orthogonal frequency division multiplexing (OFDM) systems utilizing tone reservation (TR) under a sensing-…
PAPR-optimized OFDM Design for Opportunistic Communications and Sensing
Getuar Rexhepi, Kengo Ando, Giuseppe Thadeu Freitas de Abreu
We consider the problem of peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems via optimized sparsification of tone reservatio…