AoI-driven SWIPT-enabled UAV trajectory optimization for two-way relaying

Motivated by the timely need for fresh updates in time-critical applications, this paper investigates the AoI-driven UAV trajectory optimization for a two-way relay network. The non-linear simultaneous wireless information and power transfer (SWIPT) power-splitting (PS) technique is used to provide the energy required for UAV communication considering hardware impairments. Amalgamating derived outage probability, AoI expression is obtained to evaluate data timeliness and its performance trade-offs. Then, we optimize the trajectory of the UAV while minimizing the AoI performance within the given discretized time slot. The impact of the system parameters, that is, size of the status update, PS factor, outage probability, and UAV's position, on the AoI performance are extensively investigated. Motivated by the pressing demand for real-time updates in time-critical applications, this paper explores the optimization of UAV trajectories driven by the age of information (AoI) for a simultaneous wireless information and power transfer (SWIPT) enabled two-way relay network. AoI is introduced as a novel performance metric aimed at quantifying the data freshness at the receiver's end. The paper investigates trade-offs between AoI and conventional performance metrics, employing them to determine optimal parameters for the proposed UAV-assisted communication system.image