Abstract
A multi-cell massive multi-input multi-output (MIMO) technology is the most important and promising technology in 5G wireless systems. The base stations in this 5G system are always provided with an abundant number of antennas. These base station antennas are simultaneously served more data to the set of users. Due to this more number of high-speed users, there will be high data traffic, the antennas suffer different types of pilot contamination in the various adjacent cells. A modified EIWG-WGC-based pilot contamination scheme is proposed to mitigate and avoid the unnecessary pilot contamination from the near adjacent cells. In the first phase, in order to find the potential PC, relationships among the users will be calculated by the construction of a modified edge-weighted graph coloring algorithm (EWIG). This graph coloring helps to find whether the two users are connected in the different cells by the weighted edge. This also indicates potential PC available and its strength for reuse of the same pilot. After the construction EWIG, the WGC-based pilot contamination method is widely used to segregate the pilot by assigning colors and finding the vertex of each user. This segregation helps to mitigate the PC by assigning weights based on different pilots. This proposed scheme is simulated by using MATLAB software. The simulated results show that this proposed scheme (EWIG-based WGC-PC) outperforms the existing system.
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Baranidharan, V., Karthikeyan, S., Hariharan, R., Mugunthan, T., Vhivek, S. (2021). Pilot Decontamination Algorithm with Iterative Weighted Graph Coloring Scheme for Multi-cell MIMO System in 5G Applications. In: Bindhu, V., Tavares, J.M.R.S., Boulogeorgos, AA.A., Vuppalapati, C. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 733. Springer, Singapore. https://doi.org/10.1007/978-981-33-4909-4_38
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DOI: https://doi.org/10.1007/978-981-33-4909-4_38
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