pragyasharmaa
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RAN simulator with E2 termination compliant with flexric supports E2AP v1.01, KPM v3 and pre-RC v1.01
Network slicing gym environment and a model-based RL agent with kernels
An O-RAN compliant xApp employing deep learning to detect 5G cellular network threats and anomalies
Collection of Summer 2025 tech internships!
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Source code for the paper "ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN," in Proceding of ACM Workshop on Open and AI RAN, ACM MobiCom'24, Nov 2024.
A simulation of network traffic using synthetic network traffic for 802.11, 3G GSM, 4G LTE, and 5G NR
Contains Company Wise Questions sorted based on Frequency and all time
This set of Python scripts allow you to convert pcap, pcapnp or pdml 5G protocol traces (Wireshark, tcpdump, ...) into SVG sequence diagrams.
Nephio is a Kubernetes-based automation platform for deploying and managing highly distributed, interconnected workloads such as 5G Network Functions, and the underlying infrastructure on which tho…
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communi…
This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detect…
An O-RAN compliant xApp supporting fine-grained and security-aware statistics monitoring over 5G RAN and UEs
ONOS RAN Intelligent Controller xApps authored in Python programming language
Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach
Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning
Simplified ORAN SC RIC with improved usability and xApp examples