14 papers
Mask-Compliant Clipping-Aware Precoding for Multi-User MIMO-OFDM Systems
Navid Reyhanian, Parisa Ramezani, Emil Björnson +1
Orthogonal frequency-division multiplexing (OFDM) is widely adopted in frequency-selective channels for its ability to simplify equalization, yet it also causes large signal peaks,…
Swarm and Evolutionary Computation for Near-Field Localization
Parisa Ramezani, Seyed Jalaleddin Mousavirad, Mattias O'Nils +1
Near-field localization has attracted significant attention in recent years due to the move toward higher frequencies and extremely large aperture arrays, which expand the near-fie…
A Primer on Evolutionary Optimization Frameworks for Near-Field Multi-Source Localization
Seyed Jalaleddin Mousavirad, Parisa Ramezani, Mattias O'Nils +1
This paper introduces evolutionary optimization as a grid-free training-free continuous-domain search mechanism for near-field multi-source localization, addressing the major limit…
Joint Spatial and Spectral Hybrid Precoding for Multi-User MIMO-OFDM Systems
Navid Reyhanian, Reza Ghaderi Zefreh, Parisa Ramezani +1
Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems operate over wide bandwidths and frequency-selective channels, making orthogonal frequency-division multiplex…
Symbol-Level Mask-Compliant Hybrid Precoding for Multi-User MIMO-OFDM Systems
Navid Reyhanian, Parisa Ramezani, Emil Björnson
Millimeter-wave (mmWave) technology is a crucial enabler for next-generation networks because it offers substantially greater available bandwidth. mmWave multiple-input multiple-ou…
Joint and Streamwise Distributed MIMO Satellite Communications with Multi-Antenna Ground Users
Parisa Ramezani, Emil Björnson
We consider a low Earth orbit downlink communication, where multiple satellites jointly serve multi-antenna ground users, transmitting multiple spatial streams per user. Using a li…