Abstract:
Fifth-generation (5G) and beyond networks will evolve due to new device capabilities supporting spectrum and energy-efficient IoT deployments. Every IoT pair interferes because they share resources.
This project uses reconfigurable intelligent surfaces (RISs) for directional beamforming to reduce inter-node interference in an IoT network. Multiple pairs of IoT devices use direct and one-hop reflected paths in a RIS-assisted IoT network.
Spectrum-efficiency maximization (SEM) and energy-efficiency maximization (EEM) are investigated. We alternately solve two non-convex optimization problems. We apply the conjugate gradient technique to Riemannian manifolds to find the optimal phase shifts for SEM and EEM RIS elements.
We solve the transmit power allocation sub-problem as a difference of concave functions for the SEM and use a pricing-based technique for the EEM to find the optimal transmit power. Numerical results show that RISs help IoT networks, but their location, number of elements, and IoT node pairs matter. Spectrum and energy efficiency gains exceed baseline state-of-the-art networks.
Keywords : Internet Of Things, Resource Management, Energy Efficiency, Optimization, Wireless Sensor Networks, Wireless Communication, Reconfigurable Intelligent Surfaces, Array Signal Processing, Energy Conservation, Internet Of Things, Optimisation, Pricing, Radiofrequency Interference, Resource Allocation
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student requirements.
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