BACKGROUND The explosion of smartphones and HD apps has digitized everyone's way of life and business, leading to an incessant need for CSPs to improve their customer experience and offer the best 360-degree connectivity at all times. To capture this expanding usage opportunity, CSPs have ended up building a complex network that requires continuous fine-tuning of complicated Radio Frequency (RF) parameters (X,000+). Even with the best optimization engineers available and significant OPEX spent on drive testing, by the end of 2022, Ookla still hadn't graded any 5G network as "Outstanding". With the rapid development of the mobile network, all CSPs are calling for an intelligent and efficient way to optimize mobile networks. Furthermore, 5G is also widely applied in vertical industries, such as enabling remote mining and transmitting automotive data. These scenarios have even higher requirements for network speed, latency, and stability. In summary, ensuring a good 5G network experience and Service Level Agreement is key to leveraging the advantages of 5G networks and is also a necessary condition for the healthy development of 5G industry. CHALLENGE The various factors influencing the loss during radio wave transmission and the continuous dynamic changes in the physical environment make accurate signal coverage restoration and network optimization complex. The advent of 5G and Massive MIMO technology — which enables a single antenna to transmit and receive signals in multiple directions simultaneously, like multiple beams of light — further increases complexity, especially during interference optimization. Issues include: (1) Mutual restraint between objectives: Enhancing signal coverage often inadvertently exacerbates interference issues; improving wireless interface performance may encounter difficulties due to insufficient physical resources. (2) "Mutual interference" between base stations: Efforts to enhance the performance of one base station may come at the expense of the performance of surrounding base stations, resulting in no overall improvement or imbalance. (3) Complexity of parameter configuration: A single base station involves hundreds of parameter settings. As the number of 2 of 13 base stations increases, the possibilities for parameter combinations grow exponentially, making the selection of the best configuration scheme an extremely complex task. (4) Necessity of repeated debugging and drive testing: After each parameter adjustment, multiple iterations of optimization through field driving tests are required. This process not only consumes significant funds and time but also increases carbon emissions from vehicles. In summary, 5G network optimization, particularly with advanced antenna technology, is highly complex and demands significant resources. SOLUTION 1. Mobile Network Optimization: SRCON (Simulated Reality of Communication Networks) technology tackles interference optimization (PCI) in mobile networks. It features: (1) Real Signal Coverage Restoration using AI-supported Digital Twin Modelling for high-accuracy coverage estimation; (2) Intelligent Solution Optimization using Graph Partitioning and Colouring Techniques, simplifying network resource reuse. 2. Fast Recovery: ensures 5G CSR uplink restoration via spare ports, triggered by link alarms with pre/post-checking. 3. We've abstracted an industry-applicable solution architecture for AN scenarios, end-to-end.