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5G NR Digital Twin Parametric Validation with Python is a simulation-based solution for modeling, analyzing, and validating the performance of 5G New Radio (NR) communication networks. Using Python-based modeling and data analysis, researchers can evaluate radio parameters, channel conditions, throughput, latency, signal quality, and resource allocation under different network scenarios. Ideal for telecommunications research, 5G network optimization, digital twin development, and wireless performance evaluation, this approach supports systematic parametric testing and data-driven validation of next-generation cellular communication systems.
Original price was: ₹800,000.00.₹40,000.00Current price is: ₹40,000.00. -
6G Digital Twin Parametric Validation with Python is a simulation-based approach for modeling, testing, and validating key parameters of next-generation wireless communication networks. Using Python-based analysis, researchers can evaluate network configurations, channel characteristics, latency, throughput, resource allocation, and system performance under different operating conditions. Ideal for 6G research, digital twin modeling, wireless network optimization, and parametric performance validation, this solution supports data-driven experimentation and the development of intelligent next-generation communication systems.
Original price was: ₹1,000,000.00.₹75,000.00Current price is: ₹75,000.00.
