Imagine streamlining network planning functions through automation. By leveraging the HTZ Web API, users can automate network planning and optimisation, elevating network management processes to higher levels of efficiency.
Using a RESTful API architecture, HTZ Web API seamlessly integrates with third-party software platforms, enhancing interoperability across platforms. The web API operates in unison with ATDI’s leading radio network planning software, HTZ Warfare, which serves as a backend spectrum engine. Coupled with a custom user interface, the web API enables users to effortlessly request and receive data, automate tasks and streamline workflows.
Task automation is proven to significantly improve the end-user experience and the overall efficiency of processes. This adaptable solution supports a wide range of end-user requirements and specific use scenarios.
Web APIs play a pivotal role in integrating diverse systems allowing different applications to collaborate seamlessly across the web. By automating complex tasks the complexity of network deployments is removed. HTZ Web API embraces RESTful API principles and leverages standard HTTP methods, recognised for their simplicity and scalability. It supports JSON and XML formats to structure data, ensuring the API responses are lightweight and easily readable.
HTZ integrates seamlessly into third-party solutions, working as a backend spectrum engine. By adding a customised user interface, the end user can request and receive data via the API and support task automation. Requests are combined to fulfil end-user requirements or specific use scenarios.
The Web API functionality enables real-time network insights by sharing dynamic and up-to-the-minute data for informed decision-making. The API transmits real-time information like power consumption and station status through the network monitoring system. This data is then used to visualise its impact on coverage, overlay reference signals, and assess the received radio signal strength (RSSI) in specific regions. Additional information encompasses optimal server information, overlap areas, and the number of received channels. The collaborative sharing of this data ensures the adaptive reallocation of the network, acting as a security measure to protect sensitive systems and information in secure locations.