Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption
Optimization with QoS Constraint Approach
Abstract
The commensal symbiotic radio (CSR) system is proposed as a novel
solution for connecting systems through green communication networks.
This system enables us to establish secure, ubiquitous, and unlimited
connectivity, which is a goal of 6G. The base station uses MIMO antennas
to transmit its signal. Passive IoT devices, called symbiotic
backscatter devices (SBDs), receive the signal and use it to charge
their power supply. When the SBDs have data to transmit, they modulate
the information onto the received ambient RF signal and send it to the
symbiotic user equipment, which is a typical active device. The main
purpose is to enhance energy efficiency in this network by minimizing
energy consumption (EC) while ensuring the minimum required throughput
for SBDs. To achieve this, we propose a new scheduling scheme called
Timing-SR that optimally allocates resources to SBDs. The main
optimization problem involves non-convex objective functions and
constraints. To solve this, we use mathematical techniques and introduce
a new approach called sequential quadratic and conic quadratic
representation to relax and discipline the problem, leading to reducing
its complexity and convergence time. The simulation results demonstrate
that the proposed approach outperforms other outlined schemes in
reducing EC.