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The 6G 0.1ms Latency (Sub-ms) Simulator with Python is a simulation solution designed to analyze ultra-low-latency communication in next-generation wireless networks. Using Python-based modeling and performance analysis, it helps researchers and students explore latency, packet transmission delays, network responsiveness, and communication efficiency for emerging 6G technologies. Ideal for academic research, wireless network simulation, real-time communication studies, and next-generation networking projects targeting sub-millisecond latency.
₹1,499.00 -
The 6G 1 Tbps Data Rate Simulator is an advanced simulation solution designed to explore next-generation wireless communication systems targeting data rates of up to 1 terabit per second (Tbps). It supports the analysis of 6G network performance, ultra-high-speed data transmission, spectrum efficiency, latency, and emerging wireless technologies for future communication networks. Ideal for researchers, students, engineers, and developers working on 6G technology, terahertz communication, and next-generation network optimization.
₹1,499.00 -
6G AI-Native Air Interface Simulator with Python is a software-based simulation tool for exploring artificial intelligence and machine learning techniques in next-generation wireless air interfaces. Designed for 6G researchers, wireless communication engineers, students, and Python developers, it provides a practical environment for experimenting with AI-assisted signal processing, resource allocation, channel modeling, modulation, beamforming, and adaptive wireless communication algorithms.
₹1,499.00 -
6G Cell-Free Massive MIMO Simulator with Python is a Python-based simulation platform for modeling and analyzing next-generation wireless communication systems using Cell-Free Massive MIMO technology. It can simulate distributed access points, user equipment, wireless channels, beamforming, pilot allocation, interference, spectral efficiency, energy efficiency, and resource allocation to support research and development of advanced 6G networks.
₹2,299.00 -
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.
₹3,299.00 -
6G Edge Intelligence and Federated Learning Simulator with Python is a Python-based simulation platform for modeling intelligent edge computing and distributed machine learning in next-generation 6G networks. It can simulate edge devices, users, edge servers, communication networks, local model training, federated aggregation, communication costs, latency, resource allocation, and AI performance for research into privacy-aware and decentralized 6G intelligence.
₹2,499.00 -
The 6G Energy Efficiency Simulator is an advanced simulation tool designed to analyze, model, and optimize energy consumption in next-generation wireless networks. Explore 6G network energy efficiency, power optimization, sustainable wireless communication, and intelligent resource management through simulation-based analysis.
₹1,999.00 -
6G Holographic MIMO Simulator with Python is a software-based simulation tool for exploring advanced wireless communication concepts involving 6G networks, holographic MIMO, large-scale antenna systems, beamforming, propagation, and signal processing. Designed for researchers, communication engineers, students, and Python developers, it provides a practical environment for modeling and analyzing next-generation wireless communication scenarios, algorithms, and MIMO techniques.
₹1,399.00 -
6G Holographic Telepresence Simulator with Python is an innovative simulation project designed to explore next-generation communication technologies, holographic communication, ultra-low-latency networking, and real-time 3D telepresence. Built using Python, this project demonstrates how emerging 6G concepts can support immersive virtual interactions, holographic data transmission, network performance analysis, and intelligent communication systems.
₹2,499.00 -
6G Network Slicing Simulator is a software-based simulation tool for studying network slicing concepts in next-generation 6G wireless communication systems. It provides a practical environment for exploring virtual network slices, resource allocation, quality-of-service management, traffic requirements, network optimization, and intelligent network orchestration. Designed for researchers, telecom engineers, students, and developers, the simulator is suitable for 6G research, academic projects, algorithm development, and network-management experimentation.
₹2,199.00 -
6G Non-Terrestrial Networks Simulator i.e NTN Simulator with Python is a Python-based simulation platform for modeling next-generation wireless communication systems involving satellites, high-altitude platforms, unmanned aerial vehicles, and other non-terrestrial communication infrastructure. The simulator can be used to study 6G network architecture, satellite communication, coverage, mobility, latency, connectivity, resource allocation, and network performance in integrated terrestrial and non-terrestrial environments.
₹2,299.00 -
6G Quantum Communication Simulator with Python is a Python-based simulation platform for modeling and analyzing quantum-enabled communication concepts for next-generation 6G networks. It can be used to study quantum communication channels, quantum key distribution, qubits, quantum states, quantum noise, secure communication, transmission performance, and the integration of quantum technologies with future wireless communication systems.
₹2,499.00
