11 citations · 25 across the 19 of their papers we have counts for
21 papers
AI-Native Open RAN: A Roadmap from xApps and rApps to Autonomous Network Agents
Ryan Barker, Alireza Ebrahimi Dorcheh, Tolunay Seyfi +6
Open Radio Access Networks (O-RAN) have emerged as a transformative paradigm for future wireless systems by introducing openness, virtualization, disaggregation, and programmable i…
An FPGA-in-the-Loop Testbed for MU-MIMO OFDM Beamforming over Ray-Traced Wireless Channels
Drew Schlesener, Tolunay Seyfi, Fatemeh Afghah
Wireless networks face ever expanding throughput demands from heterogeneous, high-density user populations, requiring beamforming algorithms that adapt to channel conditions with l…
An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data
Mahshid Rezakhani, Tolunay Seyfi, Fatemeh Afghah
Anomaly detection in Internet of Things (IoT) networks presents unique challenges due to the diversity of devices, lack of labeled data, and domain variability across environments.…
ORAN-DEFEND: Subspace Detection and Sanitization of Backdoor DRL xApps in Open RAN
Md Raihan Uddin, Fatemeh Lotfi, Tolunay Seyfi +1
Open Radio Access Networks (O-RAN) increasingly delegate near-real-time control to deep reinforcement learning (DRL) xApps obtained from third-party vendors, creating a new supply-…
RFPrompt: Prompt-Based Expert Adaptation of the Large Wireless Model for Modulation Classification
Md Raihan Uddin, Tolunay Seyfi, Fatemeh Afghah
Automatic modulation classification (AMC) in real-world deployments demands robustness to distribution shifts arising from hardware impairments, unseen propagation environments, an…
Hierarchical Cooperative MARL for Joint Downlink PRB and Power Allocation in a 5G System
Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Ryan Barker +1
Efficient downlink radio resource management in 5G requires jointly optimizing user scheduling and transmit-power allocation under time-varying wireless conditions. This is challen…
MORPH: Multi-Environment Orchestrated Reinforcement Learning for PRB Handling in O-RAN
Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Ryan Barker +1
Reinforcement-learning (RL) solutions for dynamic spectrum access and radio resource management in Open Radio Access Networks (O-RAN) depend critically on the fidelity of the throu…
AIIM: Adaptive Inter-cell Interference Mitigation for Heterogeneous Multi-vendor 5G O-RAN Networks
Samuel Reinders, Alireza Ebrahimi Dorcheh, Ryan Barker +2
Inter-cell interference is a persistent issue in dense 5G deployments, especially in heterogeneous Open Radio Access Network (O-RAN) environments where coordination between base st…
On the Optimality of Network Topology Discovery in Single-Hop Bounded-Interference Networks
Tolunay Seyfi, Erfan Khadem, Fatemeh Afghah
We propose \emph{PRISM} (\textbf{Pseudorandom Residue-based Indexed Scheduling Method}), a deterministic topology-discovery framework for single-hop wireless networks with bounded…
AtlasRAN: Timing-Aware Evaluation of Open-source 5G Platforms for Integrated Wireless Testbeds
Ryan Barker, Tolunay Seyfi, Alireza Ebrahimi Dorcheh +3
Open-source fifth-generation (5G) and Open Radio Access Network (O-RAN) experiments span simulation, host operating system (host-OS) emulation, software-defined radio hardware-in-t…
Six Times to Spare: Characterizing GPU-Accelerated 5G LDPC Decoding for Edge-RSU Communications
Ryan Barker, Julia Boone, Tolunay Seyfi +3
Ultra-reliable low-latency vehicular communications (URLLC) require sufficient physical-layer (PHY) compute headroom at the network edge, where roadside units (RSUs) and compact ne…
Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
Ali Owfi, Amirmohammad Bamdad, Tolunay Seyfi +1
Deep learning has emerged as a leading approach for Automatic Modulation Classification (AMC), demonstrating superior performance over traditional methods. However, vulnerability t…
DORA: Dynamic O-RAN Resource Allocation for Multi-Slice 5G Networks
Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Fatemeh Afghah
The fifth generation (5G) of wireless networks must simultaneously support heterogeneous service categories, including Ultra-Reliable Low-Latency Communications (URLLC), enhanced M…
A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks
Julia Boone, Tolunay Seyfi, Fatemeh Afghah
Internet of Vehicles (IoV) systems, while offering significant advancements in transportation efficiency and safety, introduce substantial security vulnerabilities due to their hig…
REAL: Reinforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN
Ryan Barker, Alireza Ebrahimi Dorcheh, Tolunay Seyfi +1
Open Radio Access Network (O-RAN) offers an open, programmable architecture for next-generation wireless networks, enabling advanced control through AI-based applications on the ne…
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
Mahshid Rezakhani, Tolunay Seyfi, Fatemeh Afghah
In recent years, rapid technological advancements and expanded Internet access have led to a significant rise in anomalies within network traffic and time-series data. Prompt detec…
A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks
Tolunay Seyfi, Ahmed P. Mohamed, Aly El Gamal
Interference management has become a key factor in regulating transmissions in wireless communication networks. To support effective interference management schemes, it can be esse…
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
Xiwen Zhang, Tolunay Seyfi, Shengtai Ju +3
We study the problem of interference source identification, through the lens of recognizing one of 15 different channels that belong to 3 different wireless technologies: Bluetooth…
Joint Uplink-Downlink Cooperative Interference Management with Flexible Cell Associations
Manik Singhal, Tolunay Seyfi, Aly El Gamal
We study information theoretic models of interference networks that consist of K Base Station (BS) - Mobile Terminal (MT) pairs. Each BS is connected to the MT carrying the same in…
Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments
Tolunay Seyfi, Yasemin Karacora, Aly El Gamal
The problem of interference management is considered in the context of a linear interference network that is subject to long term channel fluctuations due to shadow fading. The fad…
The Role of Transmitter Cooperation in Linear Interference Networks with Block Erasures
Yasemin Karacora, Tolunay Seyfi, Aly El Gamal
In this work, we explore the potential and optimal use of transmitter cooperation in wireless interference networks with deep fading conditions. We consider a linear interference n…