13 papers
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-…
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…
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…
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…