The fifth generation (5G) wireless communication technology encompasses three key services: enhanced Mobile Broadband (eMBB), ultra-Reliable and Low Latency Communication (uRLLC), and massive Machine Type Communication (mMTC). eMBB prioritizes high data rates and throughput, while uRLLC focuses on achieving ultra-low latency and high reliability for mission-critical applications. The goal of mMTC is to enable low-power, low-data-rate connectivity for a wide variety of sensors and devices. The coexistence of these three diverse services on the same network necessitates a robust resource allocation strategy to efficiently meet their varying requirements. However, due to the vital nature of uRLLC applications grants them priority in 5G networks, potentially impacting the performance of other traffic types like eMBB and mMTC. This paper examines the importance of scheduling algorithms, their key characteristics, associated challenges, and potential use cases in real-time scenarios. Subsequently, we analyze the performance of various scheduling algorithms which are divided into two types (1). uRLLC scheduling algorithms: These algorithms explicitly address the unique requirements of ultra-reliable, low-latency communication. (2). Co-existence of eMBB and uRLLC scheduling algorithms: These methods extend the capabilities of the previous type by addressing the diverse needs of both eMBB and uRLLC traffic, providing a holistic approach to resource allocation within 5G networks. In simulation results, specific scheduling methods were analyzed, by considering the following parameters like throughput, delay, fairness, and overall system effectiveness. These findings offer insightful information on how well certain algorithms handle various types of 5G network traffic.