Power Allocation in NOMA for 5G Networks 📡 FPA vs FPRA Explained

Dive deep into Non-Orthogonal Multiple Access (NOMA), a revolutionary technology designed to supercharge spectral efficiency and massive connectivity in 5G networks. In this video, we break down how NOMA uses power-domain multiplexing with superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver to allow multiple users to share the same frequency resources simultaneously. We evaluate and compare two key power allocation strategies: Fixed Power Ratio Allocation (FPRA): A simple scheme that assigns fixed power proportions, typically giving more power to the user with weaker channel conditions to facilitate decoding. Fair Power Allocation (FPA): A dynamic scheme that adjusts the power ratio in real-time based on target rate thresholds and channel conditions. What you will learn in this video: How downlink NOMA operates with two users sharing a single channel. The step-by-step process of Superposition Coding (SC) mapping and digital modulation. A complete performance comparison: Why FPA outperforms FPRA by 14% in total throughput while preventing weaker users from being starved of resources. How NOMA stacks up against conventional Orthogonal Multiple Access (OFDMA) in terms of spectral and energy efficiency. Practical simulation insights, including algorithms like Simulated Annealing and Hill Climbing implemented in Java, as well as MATLAB-based system modeling. Additional Resources: Java NOMA Simulation Project: Explores 5G system models, Simulated Annealing, and Hill Climbing. MATLAB Goldberg Polyhedron: Reference code for geodesic sphere modeling of order n. Don't forget to like, subscribe, and hit the notification bell for more technical wireless engineering breakdowns!