Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach

Abstract

<p>Symbiotic radio (SR) is a novel paradigm in cognitive ambient backscatter communication, which connects devices without the need to allocation of the frequency spectrum and complex energy infrastructure. Green communication can be realized in 6G networks using symbiotic radio concept. In this paper, we consider a base station (BS) with the active antennas, symbiotic backscatter devices (SBDs) and symbiotic user equipments (SUE). The main purpose is to minimize the energy consumption (EC) in the SR network and increase energy efficiency (EE), while providing the minimum required throughput for SBDs. To this end, a new scheduling scheme called Timing SR (T-SR) is introduced as optimal resource allocation for SBDs. In this system, SBDs harvest energy from ambient signals and then send their information without interfering with each other to the SUE by using the carrier of ambient signal. The main optimization problem has non-convex objective functions and constraints. To solve it, novel mathematical methods called conic quadratic representation (CQR) and sequential quadratic (SQ) techniques are used. Finally, simulation results demonstrate the superiority of the proposed method compared to other outlined schemes in reducing the EC.</p>