Joint Beamforming Design for Intelligent Omni Surface Assisted Wireless Communication Systems
Wenhao Cai, Ming Li, Yang Liu, Qingqing Wu, Qian Liu

TL;DR
This paper proposes a joint beamforming design for intelligent omni-surface (IOS) assisted wireless systems, demonstrating significant improvements in coverage, signal strength, and link quality over traditional IRS through advanced optimization algorithms.
Contribution
It introduces a novel joint beamforming framework for IOS-assisted MU-MISO systems, optimizing reflection, transmission, and energy division to enhance wireless communication performance.
Findings
IOS significantly extends coverage compared to IRS.
Proposed algorithms improve signal strength and link quality.
Simulation confirms performance gains of joint beamforming design.
Abstract
Intelligent reflecting surface (IRS) has been widely considered as one of the key enabling techniques for future wireless communication networks owing to its ability of dynamically controlling the phase shift of reflected electromagnetic (EM) waves to construct a favorable propagation environment. While IRS only focuses on signal reflection, the recently emerged innovative concept of intelligent omni-surface (IOS) can provide the dual functionality of manipulating reflecting and transmitting signals. Thus, IOS is a new paradigm for achieving ubiquitous wireless communications. In this paper, we consider an IOSassisted multi-user multi-input single-output (MU-MISO) system where the IOS utilizes its reflective and transmissive properties to enhance the MU-MISO transmission. Both power minimization and sum-rate maximization problems are solved by exploiting the second-order cone…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Advanced Antenna and Metasurface Technologies
