Stochastic Modeling and Analysis of Energy Efficiency in Tethered High Altitude Platforms Based Smart Macro Base Station

The high-altitude platform station (HAPs) emerges as a pivotal component within the burgeoning landscape of non-terrestrial networks, functioning as a super macro base station (SMBS) with a distinctive positioning in the stratosphere. On the basis of the requirement, HAPs can be positioned in lower level in the atmosphere. HAPs are restricted by the battery life of their onboard power source, whereas tethered HAPs (tHAPs) are powered by a continuous power source through the tether line, granting them virtually unlimited flight time. Using tHAPs as a SMBS, the metropolitan cities will be benefited as a constant network to collect data from internet of things (IoT) devices and top provide reliable uplink connections for them in a seamless, efficient, and cost-effective manner. The proposed stochastic model is designed to handle the energy consumption challenges for the tHAPs-SMBS while ensuring high-quality service. This study presents a stochas-tic modeling and transient analysis approach to evaluate the energy efficiency of tHAPs which functions as SMBS. The analysis yields a transient and steady-state solutions, the energy-saving factor and throughput of the system. The numerical results displays the impact of various parameters on energy consumption of the system.