8 citations · 12 across the 7 of their papers we have counts for
7 papers
MetaFAP: Meta-Learning for Frequency Agnostic Prediction of Metasurface Properties
Rafid Umayer Murshed, Md Shoaib Akhter Rafi, Sakib Reza +2
Metasurfaces, and in particular reconfigurable intelligent surfaces (RIS), are revolutionizing wireless communications by dynamically controlling electromagnetic waves. Recent wire…
Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications -- Part III: Multi-Target Tracking
Sk Nayemuzzaman, Kumar Vijay Mishra, Jiawei Liu +1
As a next-generation wireless technology, the in-band full-duplex (IBFD) transmission enables simultaneous transmission and reception of signals over the same frequency, thereby do…
Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications -- Part II: Joint Precoder, Radar Code, and Receive Filters Design
Jiawei Liu, Kumar Vijay Mishra, Mohammad Saquib
We address the challenge of spectral sharing between a statistical multiple-input multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU-MIMO) communica…
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications
Rafid Umayer Murshed, Md Saheed Ullah, Mohammad Saquib
This paper addresses the beam-selection challenges in Multi-User Multiple Input Multiple Output (MU-MIMO) beamforming for mm-wave and THz channels, focusing on the pivotal aspect o…
Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI
Rafid Umayer Murshed, Md Saheed Ullah, Mohammad Saquib +1
This paper investigates the potential of contrastive learning in 6G ultra-massive multiple-input multiple-output (UM-MIMO) communication systems, specifically focusing on hybrid be…
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO
Md Saheed Ullah, Rafid Umayer Murshed, Mohammad Saquib +1
This letter introduces a low-complexity beamforming approach for MU-MIMO systems with multiple data streams per user, minimizing inter-user interference and improving spectral effi…
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model
M. Saquib Sarfraz, Arne Schumann, Yan Wang +1
Pedestrian attribute inference is a demanding problem in visual surveillance that can facilitate person retrieval, search and indexing. To exploit semantic relations between attrib…