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Ahmed Alkhateeb

7 accepted papers

2026

Deep Reinforcement Learning for Dynamic Sensing and Communications

ICASSP 2026oral

Environmental sensing can significantly enhance mmWave communications by assisting beam training, yet its benefits must be balanced against the associated sensing costs. To this end, we propose a unified machine learning framework that dynamically determines when to sense and leverages sensory data…

Cited by 0SourcePDFScholar
2026

Knowledge Distillation for mmWave Beam Prediction Using Sub-6 GHz Channels

ICASSP 2026oral

Beamforming in millimeter-wave (mmWave) high-mobility environments typically incurs substantial training overhead. While prior studies suggest that sub-6 GHz channels can be exploited to predict optimal mmWave beams, existing methods depend on large deep learning (DL) models with prohibitive computa…

Cited by 0SourcePDFScholar
2023

Sparse Delay-Doppler Channel Estimation for OTFS Modulation Using 2D-Music

ICASSP 2023accepted

In this paper, we address the problem of estimating the delays and Doppler shifts introduced by a sparse wireless channel for orthogonal time frequency space (OTFS) modulation. We show that in the discrete time-frequency (TF) domain, the received signal resulting from an OTFS pilot signal is a super…

Cited by 8SourceScholar
2019

Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping

ICASSP 2019accepted

In this work, we propose a novel approach for high accuracy user localization by merging tools from both millimeter wave (mmWave) imaging and communications. The key idea of the proposed solution is to leverage mmWave imaging to construct a high-resolution 3D image of the line-of-sight (LOS) and non…

Cited by 0SourceScholar
2017

Time-domain channel estimation for wideband millimeter wave systems with hybrid architecture

ICASSP 2017accepted

Millimeter wave (mmWave) systems will likely employ large antennas at both the transmitter and receiver for directional beamforming. Hybrid analog/digital MIMO architectures have been proposed previously for leveraging both array gain and multiplexing gain, while reducing the power consumption in an…

Cited by 0SourceScholar
2016

Gram Schmidt based greedy hybrid precoding for frequency selective millimeter wave MIMO systems

ICASSP 2016accepted

Hybrid analog/digital precoding allows millimeter wave MIMO systems to leverage large antenna array gains while permitting low cost and power consumption hardware. Most prior work has focused on hybrid precoding for narrow-band mmWave systems. MmWave systems, however, will likely operate on wideband…

Cited by 0SourceScholar
2015

Compressed sensing based multi-user millimeter wave systems: How many measurements are needed?

ICASSP 2015accepted

Millimeter wave (mmWave) systems will likely employ directional beamforming with large antenna arrays at both the transmitters and receivers. Acquiring channel knowledge to design these beamformers, however, is challenging due to the large antenna arrays and small signal-to-noise ratio before beamfo…

Cited by 0SourceScholar