Intelligent Reflecting Surface based Passive Information Transmission: A Symbol-Level Precoding Approach
Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst, and Qingqing Wu

TL;DR
This paper introduces IRS-based passive information transmission systems utilizing symbol-level precoding, enabling passive reflection and simultaneous information delivery to multiple receivers with optimized power and QoS.
Contribution
It proposes two novel IRS passive transmission schemes and develops algorithms for power minimization and QoS balancing, advancing IRS passive transmission research.
Findings
Feasibility of IRS-based passive information transmission demonstrated.
Proposed algorithms outperform benchmark schemes.
Effective simultaneous primary and secondary information delivery achieved.
Abstract
Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-effective and hardware-efficient fashion. While the application of IRS as a passive reflector to enhance the performance of wireless communications has been widely investigated in the literature, using IRS as a passive transmitter recently is emerging as a new concept and attracting steadily growing interest. In this paper, we propose two novel IRS-based passive information transmission systems using advanced symbol-level precoding. One is a standalone passive information transmission system, where the IRS operates as a passive transmitter serving multiple receivers by adjusting its elements to reflect unmodulated carrier signals. The other is a joint passive reflection and information transmission system, where…
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