Performance Analysis of Cooperative NOMA System with Diversity Techniques

The ever-evolving landscape of wireless communication demands continuous advancements in signal processing techniques to enhance reliability and performance. It conducts a comprehensive comparison between two prominent diversity combining techniques: Equal Gain Combining (EGC) and Selection Combining (SC). These techniques play a crucial role in mitigating the adverse effects of fading and signal attenuation, thereby enhancing the overall communication link quality.It begins with in-depth exploration of the fundamental principles behind EGC and SC, highlighting their respective strengths and limitations. EGC, a simple and computationally efficient method, assigns equal weights to all received signals. On the other hand, SC selects the signal with the highest instantaneous received power, providing a more selective approach. The comparative analysis encompasses key performance metrics such as diversity gain, outage probability, and bit error rate, shedding light on the trade-offs inherent in each technique.In the dynamic realm of wireless communications, the quest for robust and efficient signal processing methods is perpetual. This paper delves into a meticulous examination and comparison of two pivotal diversity combining techniques: Equal Gain Combining (EGC) and Selection Combining (SC).