Massive MIMO technology has emerged as a promising solution to address the increasing need for greater data capacity in mobile communication. However, realizing its full potential requires correct estimation of the channel state information at every base station. Time division duplex is a more efficient approach to obtaining immediate channel state information in massive MIMO systems. Nevertheless, the usage of the nonorthogonal pilot schemes in the multi-cell TDD networks introduces pilot contamination, a critical issue caused by coherence time limitations. Particularly in the context of 5G, pilot contamination in adjacent cells gives rise to various issues such as pilot design, channel estimation, pilot placement, interference management, resource allocation, channel estimation accuracy, and hardware limitations. To address these challenges, various pilot decontamination schemes have been developed. In this research work, two such schemes the soft pilot reuse, and the weighted graphed coloring-based pilot decontamination are analyzed in detail. Soft pilot reuse scheme classifies users into two different types: the cell-centered users reusing equal pilot sequences, and the cell-edged users utilizing the orthogonal pilot subgroups, to reduce severe contamination. Despite this separation, small contamination persists between the cell-centered users. To further enhance the decontamination of the cell-centered users, a technique weighted-graph-based is introduced. Through this combined approach, the scheme effectively mitigates pilot contamination, leading to a significant improvement in terms of uplink SNR and achievable Rate. Simulation results demonstrate the efficacy of the pilot decontamination schemes to optimize massive MIMO systems and cater to the growing demands of 5G networks.