Downlink Rate Maximization with Reconfigurable Intelligent Surface Assisted Full-Duplex Transmissions
6 November 2023
Proposes joint optimization of base station & RIS beamforming for full-duplex systems
Develops optimization framework maximizing downlink rate with uplink QoS constraints
Employs techniques like successive convex approximation to transform non-convex problems
Demonstrates through simulations the benefits of RIS & full-duplex in improving downlink rate
Achieves highest downlink rate compared to half-duplex systems and those without RIS
Downlink Rate Improvement with Reconfigurable Surfaces and Full-Duplex
This paper proposes using reconfigurable intelligent surfaces (RIS) and full-duplex communication to improve downlink transmission rates in wireless systems. The RIS intelligently manipulates signals through reflection, while full-duplex allows simultaneous transmission and reception. However, full-duplex causes strong self-interference. The paper develops an optimization framework for joint base station and RIS beamforming to maximize downlink rate while ensuring adequate uplink quality-of-service. Through convex approximation, the non-convex problem is decoupled into separate base station and RIS subproblems. Simulations demonstrate significant downlink rate improvement compared to half-duplex systems and those without RIS.
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