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Downlink Rate Improvement with Reconfigurable Surfaces and Full-Duplex

Published on:

6 November 2023

Primary Category:

Information Theory

Paper Authors:

Li-Hsiang Shen,

Chia-Jou Ku,

Kai-Ten Feng

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Key Details

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

AI generated summary

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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