3 citations · 5 across the 9 of their papers we have counts for
15 papers
Cross-Field Channel Estimation for Ultra Massive-MIMO THz Systems
Simon Tarboush, Anum Ali, Tareq Y. Al-Naffouri
The large bandwidth combined with ultra-massive multiple-input multiple-output (UM-MIMO) arrays enables terahertz (THz) systems to achieve terabits-per-second throughput. The THz s…
Beam Management with Orientation and RSRP using Deep Learning for Beyond 5G Systems
Khuong N. Nguyen, Anum Ali, Jianhua Mo +3
Beam management (BM), i.e., the process of finding and maintaining a suitable transmit and receive beam pair, can be challenging, particularly in highly dynamic scenarios. Side-inf…
Mean-square Analysis of the NLMS Algorithm
Tareq Y. Al-Naffouri, Muhammad Moinuddin, Anum Ali
This work presents a novel approach to the mean-square analysis of the normalized least mean squares (NLMS) algorithm for circular complex colored Gaussian inputs. The analysis is…
Leveraging Sensing at the Infrastructure for mmWave Communication
Anum Ali, Nuria González-Prelcic, Robert W. Heath +1
Vehicle-to-everything (V2X) communication in the mmWave band is one way to achieve high data-rates for applications like infotainment, cooperative perception, and augmented reality…
Passive Radar at the Roadside Unit to Configure Millimeter Wave Vehicle-to-Infrastructure Links
Anum Ali, Nuria González-Prelcic, Amitava Ghosh
Millimeter wave (mmWave) vehicular channels are highly dynamic, and the communication link needs to be reconfigured frequently. In this work, we propose to use a passive radar rece…
Non-Stationarities in Extra-Large Scale Massive MIMO
Elisabeth De Carvalho, Anum Ali, Abolfazl Amiri +2
Massive MIMO, a key technology for increasing area spectral efficiency in cellular systems, was developed assuming moderately sized apertures. In this paper, we argue that massive…
Spatial Channel Covariance Estimation for Hybrid Architectures Based on Tensor Decompositions
Sungwoo Park, Anum Ali, Nuria González-Prelcic +1
Spatial channel covariance information can replace full instantaneous channel state information for the analog precoder design in hybrid analog/digital architectures. Obtaining spa…
Linear Receivers in Non-stationary Massive MIMO Channels with Visibility Regions
Anum Ali, Elisabeth de Carvalho, Robert W. Heath
In a massive MIMO system with large arrays, the channel becomes spatially non-stationary. We study the impact of spatial non-stationarity characterized by visibility regions (VRs)…
Spatial Covariance Estimation for Millimeter Wave Hybrid Systems using Out-of-Band Information
Anum Ali, Nuria González-Prelcic, Robert W. Heath
In high mobility applications of millimeter wave (mmWave) communications, e.g., vehicle-to-everything communication and next-generation cellular communication, frequent link config…
Millimeter Wave communication with out-of-band information
Nuria González-Prelcic, Anum Ali, Vutha Va +1
Configuring the antenna arrays is the main source of overhead in millimeter wave (mmWave) communication systems. In high mobility scenarios, the problem is exacerbated, as achievin…
Millimeter Wave Beam-Selection Using Out-of-Band Spatial Information
Anum Ali, Nuria González-Prelcic, Robert W. Heath
Millimeter wave (mmWave) communication is one feasible solution for high data-rate applications like vehicular-to-everything communication and next generation cellular communicatio…
Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems
Alam Zaib, Mudassir Masood, Anum Ali +2
Massive MIMO communication systems, by virtue of utilizing very large number of antennas, have a potential to yield higher spectral and energy efficiency in comparison with the con…
Nonlinear Distortion Reduction in OFDM from Reliable Perturbations in Data Carriers
Ebrahim B. Al-Safadi, Tareq Y. Al-Naffouri, Mudassir Masood +1
A novel method for correcting the effect of nonlinear distortion in orthogonal frequency division multiplexing signals is proposed. The method depends on adaptively selecting the d…
Narrowband Interference Mitigation in SC-FDMA Using Bayesian Sparse Recovery
Anum Ali, Mudassir Masood, Muhammad S. Sohail +2
This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed NBI cancellation scheme exploits the frequency domain sparsity of the…
Receiver-based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach
Anum Ali, Abdullatif Al-Rabah, Mudassir Masood +1
Clipping is one of the simplest peak-to-average power ratio (PAPR) reduction schemes for orthogonal frequency division multiplexing (OFDM). Deliberately clipping the transmission s…