no code implementations • 9 May 2024 • Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon, Jeffrey H. Reed
Enhancing 3D and Z-axis positioning accuracy is crucial for effective rescue in indoor emergencies, ensuring safety for emergency responders and at-risk individuals.
no code implementations • 7 Feb 2024 • Ta-seen Reaz Niloy, Saurav Kumar, Aniruddha Hore, Zoheb Hassan, Carl Dietrich, Eric W. Burger, Jeffrey H. Reed, Vijay K. Shah
It serves two essential purposes (a) evaluating the potential for harmful interference to primary users in satellite bands and (b) facilitating the analysis, design, and implementation of diverse regulatory policies on spectrum usage and sharing.
no code implementations • 6 Mar 2023 • Taiwo Oyedare, Vijay K. Shah, Daniel J. Jakubisin, Jeffrey H. Reed
However, there have been limited research on the complexity of such deep learning models.
no code implementations • 27 Feb 2023 • Gaurav Duggal, R. Michael Buehrer, Nishith Tripathi, Jeffrey H. Reed
The LoS probability and coverage probabilities derived in this paper can be used to analyze the outdoor UAV-to-indoor propagation environment to determine optimal UAV positioning and the number of UAVs needed to achieve the desired performance of the emergency network.
no code implementations • 8 Nov 2022 • Bo Tang, Vijay K. Shah, Vuk Marojevic, Jeffrey H. Reed
This article presents a general automated, distributed and AI-enabled testing framework to test AI models deployed in O-RAN in terms of their decision-making performance, vulnerability and security.
no code implementations • 18 Oct 2022 • Anders M. Buvarp, Daniel J. Jakubisin, William C. Headley, Jeffrey H. Reed
In this paper, we explore the possibility of using a reconfigurable intelligent surface in order to disrupt the ability of an unintended receiver to geolocate the source of transmitted signals in a 5G communication system.
no code implementations • 8 Mar 2022 • Biplav Choudhury, Prasenjit Karmakar, Vijay K. Shah, Jeffrey H. Reed
The proposed v-PPO based AoI scheduler adapts well to changing network conditions and accounts for unknown traffic generation patterns, making it practical for real-world IoT deployments.
no code implementations • 4 Feb 2022 • Joseph Thaliath, Solmaz Niknam, Sukhdeep Singh, Rahul Banerji, Navrati Saxena, Harpreet S. Dhillon, Jeffrey H. Reed, Ali Kashif Bashir, Avinash Bhat, Abhishek Roy
To cater to the dynamic service requirements of these verticals and meet the required quality-of-service (QoS) mentioned in the service-level agreement (SLA), network slices need to be isolated through dedicated elements and resources.
no code implementations • 12 Jul 2021 • Biplav Choudhury, Vijay K. Shah, Aidin Ferdowsi, Jeffrey H. Reed, Y. Thomas Hou
Our simulation results show that DQN-based scheduler outperforms MAF-MAD scheduler and three other baseline schedulers, i. e., Maximal AoI First (MAF), Round Robin (RR) and Random, employed at both hops under general conditions when the network is small (with 10's of IoT devices).
no code implementations • 11 Apr 2021 • Darshan A. Ravi, Vijay K. Shah, Chengzhang Li, Tom Hou, Jeffrey H. Reed
In this work, we study the problem of Modulation and Coding Scheme(MCS) aware RAN slicing(MaRS) in the context of a wireless system having MVNOs which have users with minimum data rate requirement.
no code implementations • 6 Jan 2021 • Tarun S. Cousik, Vijay K. Shah, Tugba Erpek, Yalin E. Sagduyu, Jeffrey H. Reed
In LoS conditions, the selection of the beams is consequential and improves the accuracy by up to 70%.
no code implementations • 8 Sep 2020 • Pratheek S. Upadhyaya, Vijay K. Shah, Jeffrey H. Reed
As several new spectrum bands are opening up for shared use, a new paradigm of \textit{Diverse Band-aware Dynamic Spectrum Access} (d-DSA) has emerged.
no code implementations • 22 Jun 2020 • Tarun S. Cousik, Vijay K. Shah, Jeffrey H. Reed, Tugba Erpek, Yalin E. Sagduyu
This paper presents DeepIA, a deep learning solution for faster and more accurate initial access (IA) in 5G millimeter wave (mmWave) networks when compared to conventional IA.
no code implementations • 2 Jun 2020 • Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed
Moreover, the channel will be bimodal as a result of the periodic interference.
no code implementations • 21 Nov 2018 • Miao Yao, Munawwar Sohul, Vuk Marojevic, Jeffrey H. Reed
Massive multiple-input multiple-output antenna systems, millimeter wave communications, and ultra-dense networks have been widely perceived as the three key enablers that facilitate the development and deployment of 5G systems.