58 citations · 94 across the 7 of their papers we have counts for
7 papers
DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Opportunistic routing relies on the broadcast capability of wireless networks. It brings higher reliability and robustness in highly dynamic and/or severe environments such as mobi…
DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing
Alex Yahja, Saeed Kaviani, Bo Ryu +2
We developed DeepADMR, a novel neural anomaly detector for the deep reinforcement learning (DRL)-based DeepCQ+ MANET routing policy. The performance of DRL-based algorithms such as…
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Highly dynamic mobile ad-hoc networks (MANETs) remain as one of the most challenging environments to develop and deploy robust, efficient, and scalable routing protocols. In this p…
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Highly dynamic mobile ad-hoc networks (MANETs) are continuing to serve as one of the most challenging environments to develop and deploy robust, efficient, and scalable routing pro…
Robust Joint Precoder and Equalizer Design in MIMO Communication Systems
Saeed Kaviani, Witold A. Krzymien
We address joint design of robust precoder and equalizer in a MIMO communication system using the minimization of weighted sum of mean square errors. In addition to imperfect knowl…
Optimal Multiuser Zero-Forcing with Per-Antenna Power Constraints for Network MIMO Coordination
Saeed Kaviani, Witold A. Krzymien
We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a…