2 citations · 4 across the 14 of their papers we have counts for
14 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-…
SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs
Hossein Rajoli, Fatemeh Lotfi, Niloufar Alipour Talemi +3
Pre-trained Vision-Language Models (VLMs) like CLIP have proven highly effective as foundation models for various downstream applications. However, prompt learning in VLMs encounte…
Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RAN
Fatemeh Lotfi, Fatemeh Afghah
The increasing complexity of modern applications demands wireless networks capable of real time adaptability and efficient resource management. The Open Radio Access Network (O-RAN…
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah
Next-generation networks utilize the Open Radio Access Network (O-RAN) architecture to enable dynamic resource management, facilitated by the RAN Intelligent Controller (RIC). Whil…
ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing
Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah
Advanced wireless networks must support highly dynamic and heterogeneous service demands. Open Radio Access Network (O-RAN) architecture enables this flexibility by adopting modula…
Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing
Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah
Modern wireless networks must adapt to dynamic conditions while efficiently managing diverse service demands. Traditional deep reinforcement learning (DRL) struggles in these envir…
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN
Fatemeh Lotfi, Fatemeh Afghah
As wireless networks grow to support more complex applications, the Open Radio Access Network (O-RAN) architecture, with its smart RAN Intelligent Controller (RIC) modules, becomes…
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah
With emerging applications such as autonomous driving, smart cities, and smart factories, network slicing has become an essential component of 5G and beyond networks as a means of…
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
Alireza Shamsoshoara, Fatemeh Lotfi, Sajad Mousavi +2
This paper investigates an interference-aware joint path planning and power allocation mechanism for a cellular-connected unmanned aerial vehicle (UAV) in a sparse suburban environ…
Attention-based Open RAN Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah, Jonathan Ashdown
As emerging networks such as Open Radio Access Networks (O-RAN) and 5G continue to grow, the demand for various services with different requirements is increasing. Network slicing…
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios
Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi +1
Facial expressions convey massive information and play a crucial role in emotional expression. Deep neural network (DNN) accompanied by deep metric learning (DML) techniques boost…
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
Fatemeh Lotfi, Omid Semiari, Fatemeh Afghah
The next-generation wireless networks are required to satisfy a variety of services and criteria concurrently. To address upcoming strict criteria, a new open radio access network…
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Fatemeh Lotfi, Omid Semiari, Walid Saad
Collaborative deep reinforcement learning (CDRL) algorithms in which multiple agents can coordinate over a wireless network is a promising approach to enable future intelligent and…
Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure
Fatemeh Lotfi, Omid Semiari
Future wireless cellular networks must support both enhanced mobile broadband (eMBB) and ultra reliable low latency communication (URLLC) to manage heterogeneous data traffic for e…