52 citations · 62 across the 9 of their papers we have counts for
10 papers
Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
Marios Aristodemou, Yasaman Omid, Sangarapillai Lambotharan +2
The integration of satellite communication networks with next-generation (NG) technologies is a promising approach towards global connectivity. However, the quality of services is…
Direct Uplink Connectivity in Space MIMO Systems with THz and FSO Inter-Satellite Links
Zohre Mashayekh Bakhsh, Yasaman Omid, Gaojie Chen +3
This paper investigates uplink transmission from a single-antenna mobile phone to a cluster of satellites, emphasizing the role of inter-satellite links (ISLs) in facilitating coop…
Reinforcement Learning-Based Downlink Transmit Precoding for Mitigating the Impact of Delayed CSI in Satellite Systems
Yasaman Omid, Marios Aristodemou, Sangarapillai Lambotharan +2
The integration of low earth orbit (LEO) satellites with terrestrial communication networks holds the promise of seamless global connectivity. The efficiency of this connection, ho…
Multi-Satellite MIMO Systems for Direct User-Satellite Communications: A Survey
Zohre Mashayekh Bakhsh, Yasaman Omid, Gaojie Chen +3
Advancements in satellite technology have made direct-to-device connectivity a viable solution for ensuring global access. This method is designed to provide internet connectivity…
Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System
Yasaman Omid, Sangarapillai Lambotharan, Mahsa Derakhshani
In this study, we explore the integration of satellites with ground-based communication networks. Specifically, we analyze downlink data transmission from a constellation of satell…
Space MIMO: Direct Unmodified Handheld to Multi-Satellite Communication
Yasaman Omid, Zohre Mashayekh Bakhsh, Farbod Kayhan +2
This paper examines the uplink transmission of a single-antenna handsheld user to a cluster of satellites, with a focus on utilizing the inter-satellite links to enable cooperative…
Low-Complexity Beamforming Design for IRS-Aided NOMA Communication System with Imperfect CSI
Yasaman Omid, S. M. Mahdi Shahabi, Cunhua Pan +2
Intelligent reflecting surface (IRS) as a promising technology rendering high throughput in future communication systems is compatible with various communication techniques such as…
AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep Reinforcement Learning
Yasaman Omid, Seyed MohammadReza Hosseini, Seyyed MohammadMahdi Shahabi +2
In this paper, the problem of pilot contamination in a multi-cell massive multiple input multiple output (M-MIMO) system is addressed using deep reinforcement learning (DRL). To th…
Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels
Yasaman Omid, Seyyed MohammadMahdi Shahabi, Cunhua Pan +2
In this paper, large-scale intelligent reflecting sur-face (IRS)-assisted multiple-input single-output (MISO) system is considered in the presence of channel uncertainty. To maximi…
IRS-aided Large-Scale MIMO Systems with Passive Constant Envelope Precoding
Yasaman Omid, Seyyed MohammadMahdi Shahabi, Cunhua Pan +2
In this paper, an intelligent reflecting surface (IRS)-aided large-scale MIMO system is investigated in which constant envelope precoding (CEP) is utilized at each base station (BS…