19 citations · 21 across the 8 of their papers we have counts for
9 papers
Mask-Compliant Clipping-Aware Precoding for Multi-User MIMO-OFDM Systems
Navid Reyhanian, Parisa Ramezani, Emil Björnson
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,…
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…
Precoding for Uplink RIS-Assisted Cell-Free MIMO-OFDM Systems with Hardware Impairments
Navid Reyhanian, Reza Ghaderi Zefreh, Parisa Ramezani +1
This paper studies a reconfigurable intelligent surface (RIS)-assisted cell-free massive multiple-input multiple-output (CF-mMIMO) system with multiple RISs. Joint design of transm…
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…
Data-Driven Adaptive Network Slicing for Multi-Tenant Networks
Navid Reyhanian, Zhi-Quan Luo
Network slicing to support multi-tenancy plays a key role in improving the performance of 5G networks. In this paper, we propose a two time-scale framework for the reservation-base…
Resource Reservation in Backhaul and Radio Access Network with Uncertain User Demands
Navid Reyhanian, Hamid Farmanbar, Zhi-Quan Luo
Resource reservation is an essential step to enable wireless data networks to support a wide range of user demands. In this paper, we consider the problem of joint resource reserva…
Online Stochastic Gradient Descent Learns Linear Dynamical Systems from A Single Trajectory
Navid Reyhanian, Jarvis Haupt
This work investigates the problem of estimating the weight matrices of a stable time-invariant linear dynamical system from a single sequence of noisy measurements. We show that i…
A Linearly Convergent Doubly Stochastic Gauss-Seidel Algorithm for Solving Linear Equations and A Certain Class of Over-Parameterized Optimization Problems
Meisam Razaviyayn, Mingyi Hong, Navid Reyhanian +1
Consider the classical problem of solving a general linear system of equations . It is well known that the (successively over relaxed) Gauss-Seidel scheme and many of its var…
On Capacity Regions of Two-Receiver Broadcast Packet Erasure Channels with Feedback and Memory
Michael Heindlmaier, Navid Reyhanian, Shirin Saeedi Bidokhti
The two-receiver broadcast packet erasure channel with feedback and memory is studied. Memory is modeled using a finite-state Markov chain representing a channel state. Outer and i…