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Transparent Transmission in Wall-Embedded Dynamic IOS Assisted Indoor Networks
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DOI：10.1109/tvt.2026.3666544.png)
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Abstract
En 中文
In intelligent omni-surface (IOS) aided indoor networks, existing works all ignore the dynamic update of IOS location, which cannot match varying channel conditions, and the penetration loss caused by the wall is still very large. To solve this problem, this paper proposes a dynamic IOS deployment scheme, where an IOS is deployed on a movable orbit embedded in the wall, and the base station (BS) can control the orbit to change the position of the IOS to provide better reflection/transmission links for users, as if the wall penetration loss does not exist, i.e., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">transparent transmission</i>. Specifically, for this new system, a practical transmission protocol with both phased and instantaneous updates is designed, where the IOS location is updated every <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$N$</tex-math></inline-formula> time slots, while the IOS coefficients and BS beamforming are updated in each time slot. Furthermore, a new problem aimed at green communications over a long period is established, where the IOS location, IOS coefficients, and BS beamforming are jointly optimized to minimize BS transmit power while meeting user demand. Besides, a two-stage approach is leveraged to solve the problem, where alternating optimization and penalty dual decomposition are employed to obtain semi-closed-form solutions for IOS coefficients and BS beamforming based on instantaneous channel state information (CSI) in the first stage, and the IOS location is updated using successive convex approximation technique based on statistical CSI in the second stage. In the simulation, we compare three well-known and commonly used baselines and demonstrate the advantages of our proposed scheme.
Keywords:
Indoor communications
intelligent omni-surfaces
transparent transmission
coverage enhancement
dynamic deployment
Journal
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7.1
Papers:
1.7W
Citations:
6.6W
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