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 the IRS not only enhances transmissions for multiple primary information receivers (PIRs) by passive reflection, but also simultaneously delivers additional information to a secondary information receiver (SIR) by embedding its information into the primary signals at the symbol level. Two typical optimization problems, i.e., power minimization and quality-of-service (QoS) balancing, are investigated for the proposed IRS-based passive information transmission systems. Simulation results demonstrate the feasibility of IRS-based passive information transmission and the effectiveness of our proposed algorithms, as compared to other benchmark schemes.
Highlights
During the past decade, various techniques have been developed to accommodate the rapidly increasing demands for high data rates and diverse quality-of-service (QoS)
Being a energy/spectrum/hardware-efficient solution for future wireless networks, intelligent reflecting surfaces (IRS) have attracted abundant attentions owing to its ability to tailor the radio environment in a cost-effective and hardware-efficient fashion [2]-[8]
We provide extensive simulation results to demonstrate the feasibility of exploiting symbol-level precoding for passive information transmissions in IRSbased MU-MISO systems, and to illustrate the effectiveness of our proposed algorithms
Summary
Various techniques have been developed to accommodate the rapidly increasing demands for high data rates and diverse quality-of-service (QoS). Being a energy/spectrum/hardware-efficient solution for future wireless networks, intelligent reflecting surfaces (IRS) have attracted abundant attentions owing to its ability to tailor the radio environment in a cost-effective and hardware-efficient fashion [2]-[8]. Each element can independently manipulate the phase of the incident signals in a real-time programmable manner, collaboratively enabling adaptive reflection beamforming in three-dimensional (3D) space. By intelligently controlling the signal reflection, an IRS can create a more favorable propagation environment, which used to be more or less out of the control of the system designer. By judiciously designing the IRS phase-shifts, the signals reflected by the IRS and from other paths can coherently add up at intended receivers and/or cancel out at unintended receivers to improve system performance. IRS has found some novel applications in holographic MIMO [21], [22], mobile edge computing, sensing and localization, etc. [5], [8]
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