68 citations · 140 across the 11 of their papers we have counts for
12 papers
Predictive Closed-Loop Service Automation in O-RAN based Network Slicing
Joseph Thaliath, Solmaz Niknam, Sukhdeep Singh +7
Network slicing provides introduces customized and agile network deployment for managing different service types for various verticals under the same infrastructure. To cater to th…
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon +5
Building on the principles of openness and intelligence, there has been a concerted global effort from the operators towards enhancing the radio access network (RAN) architecture.…
Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks
Reza Barazideh, Omid Semiari, Solmaz Niknam +1
Emerging wireless services with extremely high data rate requirements, such as real-time extended reality applications, mandate novel solutions to further increase the capacity of…
Analyzing the Trade-offs in Using Millimeter Wave Directional Links for High Data Rate Tactile Internet Applications
Kishor Chandra Joshi, Solmaz Niknam, R. Venkatesha Prasad +1
Ultra-low latency and high reliability communications are the two defining characteristics of Tactile Internet (TI). Nevertheless, some TI applications would also require high data…
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed
There is a growing interest in the wireless communications community to complement the traditional model-based design approaches with data-driven machine learning (ML)-based soluti…
Impulsive Noise Detection in OFDM-based Systems: A Deep Learning Perspective
Reza Barazideh, Solmaz Niknam, Balasubramaniam Natarajan
Efficient removal of impulsive noise (IN) from received signal is essential in many communication applications. In this paper, we propose a two stage IN mitigation approach for ort…