To enhance the energy and communication coverage performance in UAV corridor-assisted RF-powered IoT networks, advanced interference management and coordination schemes among UAV base stations (UAV-BSs) can be implemented through the following strategies:
Dynamic Resource Allocation: Implementing dynamic resource allocation techniques allows UAV-BSs to adaptively assign frequency bands, time slots, or power levels based on real-time network conditions. This can help mitigate interference and optimize both energy harvesting and communication performance.
Cooperative Communication: Utilizing cooperative communication strategies, where multiple UAV-BSs work together to serve a single IoT device, can improve signal quality and coverage. This approach can enhance the SINR at the receiver, leading to better communication reliability.
Interference Cancellation Techniques: Advanced interference cancellation techniques, such as successive interference cancellation (SIC) or multi-user detection (MUD), can be employed to reduce the impact of interference from neighboring UAV-BSs. These techniques can enhance the effective SINR and improve communication performance.
Coordination Protocols: Developing coordination protocols among UAV-BSs can facilitate efficient handover processes and resource sharing. For instance, UAV-BSs can coordinate their flight paths and communication schedules to minimize overlap and interference during operation.
Machine Learning Algorithms: Incorporating machine learning algorithms can enable UAV-BSs to predict interference patterns and optimize their operations accordingly. These algorithms can analyze historical data to make informed decisions about resource allocation and coordination.
Adaptive Flight Paths: Allowing UAV-BSs to adjust their flight paths based on real-time feedback from the IoT devices can help optimize coverage and minimize interference. This adaptability can enhance both energy harvesting and communication performance.
Network Slicing: Implementing network slicing techniques can create virtual networks tailored to specific applications or services. This allows for optimized resource allocation and interference management based on the unique requirements of different IoT applications.
By integrating these advanced interference management and coordination schemes, the overall performance of UAV corridor-assisted RF-powered IoT networks can be significantly improved, leading to enhanced energy and communication coverage capabilities.