79 citations · 161 across the 10 of their papers we have counts for
10 papers
Robustness Guarantees for Optimal RIS Placement in Self-Localization Under Placement Errors
Mahdi Koloushani, Omid Rezaei, Seyed Mohammad Karbasi +2
This paper studies the effect of Reconfigurable Intelligent Surface (RIS) placement errors on optimal RIS deployment for Time-of-Flight (ToF)-based self-localization. We consider a…
Multi-UAV Enabled Integrated Sensing and Wireless Powered Communication: A Robust Multi-Objective Approach
Omid Rezaei, Mohammad Mahdi Naghsh, Seyed Mohammad Karbasi +1
In this paper, we consider an integrated sensing and communication (ISAC) system with wireless power transfer (WPT) where multiple unmanned aerial vehicle (UAV)-based radars serve…
A Learning-Inspired Strategy to Design Binary Sequences with Good Correlation Properties: SISO and MIMO Radar Systems
Omid Rezaei, Mahdi Ahmadi, Mohammad Mahdi Naghsh +3
In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learn…
Design of a Multi-User Wireless Powered Communication System Employing Either Active IRS or AF Relay
Omid Rezaei, Maryam Masjedi, Ali Kanaani +3
In this paper, we optimize a Wireless Powered Communication (WPC) system including multiple pair of users, where transmitters employ single-antenna to transmit their information an…
Cooperative Fair Throughput Maximization in a Multi-Cluster Wireless Powered Network
Omid Rezaei, Maryam Masjedi, Mohammad Mahdi Naghsh +2
In this paper, we study a multi-cluster Wireless Powered Communication Network (WPCN) where each cluster of users cooperate with a Cluster Head (CH) and a Hybrid Access Point (HAP)…
Compressed-Domain Detection and Estimation for Colocated MIMO Radar
Ehsan Tohidi, Alireza Hariri, Hamid Behroozi +3
This paper proposes compressed domain signal processing (CSP) multiple input multiple output (MIMO) radar, a MIMO radar approach that achieves substantial sample complexity reducti…