Abstract:
As the number of Internet of Things (IoT) devices grows, spectrum is limited, making wireless networking essential. In remote or critical healthcare infrastructure, uninterrupted communication between the macro base station and IoT devices or user nodes is essential.
Due to their limited spectral capacity, unmanned aerial vehicle (UAV)-based networks can efficiently use both licensed and unlicensed bands for user or device communication. This paper discusses cache-enabled cognitive networking for secondary users (SUs) that certifies CUAV-delivered critical healthcare system communication.
We also develop a non-orthogonal multiple-access caching strategy for CUAVs to cache relevant information from HP and MP devices in local and cloud storage. In the downlink scenario, the CUAV actively transmits the requested HP and MP information to the designated SUs considering this entire model over two states, effectual and interference, which we can realize by any interference.
We solve an optimization problem to minimize transmission power and meet SU throughput targets to maximize energy efficiency. Lagrangian and Karush-Kuhn-Tucker conditions solve the optimization problem. Energy efficiency during the effectual state is 400% better than the interference state in all simulations.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student requirments.
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