Transformation from 5G N/W to 6G N/W Through Technology Inclusion

For us, figuring out where we are or where our resources are has always been important. While technology has greatly benefited this quest, real-time interior locating remains a daunting problem, from conventional instruments like sextants to contemporary outside GPS devices. With the introduction of 5G mobile networks, network-based location became a practical option. With the help of sophisticated radio technologies, decreased end-to-end latency, specialist control protocols, and increased processing power at the network edge, 5G’s full promise for indoor and outdoor placement could now be realized. This study provides a thorough introduction to network-based positioning, examining advanced machine-learning-supported solutions as well as underlying ideas. A detailed comparison of learning methods used in network-based positioning is a significant addition. The article provides a forward-looking strategy to positioning using these advanced networks, as we expect the progression to 6G networks. Various application examples from different sectors are offered to highlight the topic’s practical ramifications, with a focus on industrial industry vehicular applications. The goal of the material is to be both insightful and educational, serving as a useful tool for comprehending and managing the rapidly changing field of location-based technology.