Dynamic Power Allocation in NOMA Systems Using Fuzzy Logic Inference System with data security
Aditya Kushwaha Kushwaha
Paper Contents
Abstract
Non-Orthogonal Multiple Access (NOMA) has emerged as a critical technology for improving the spectral efficiency of wireless communication systems. This paper presents a novel dynamic power allocation technique for NOMA using fuzzy logic to allocate power dynamically based on the distance of users. The proposed method involves the use of superposition coding at the transmitter side and successive interference cancellation (SIC) at the receiver. The research work records audio for a few seconds, splits it into two halves (representing two users), encrypts the data using AES encryption, decrypts it back, and compares the original and decrypted data using Fast Fourier Transform (FFT) for analysis. We employ a Fuzzy Inference System (FIS) to optimize the power allocation by taking distance as input and generating the power factor as output. Extensive simulations demonstrate the improved performance of the proposed method compared to static power allocation techniques.
Copyright
Copyright © 2025 Aditya Kushwaha. This is an open access article distributed under the Creative Commons Attribution License.