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Performance Analysis of UAV-Assisted Holographic Data and Energy Transfer With Finite Blocklength
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DOI：10.1109/JSAC.2026.3707819.png)
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Abstract
En 中文
This paper investigates an unmanned aerial vehicle (UAV)-assisted holographic integrated data and energy transfer (IDET) system operating under the finite blocklength (FBL) regime. A comprehensive analytical framework is developed, in which a UAV equipped with a reconfigurable holographic surface (RHS) hovers above the users to enable simultaneous data and energy transfer. To better capture practical system characteristics, the data transfer link is modeled as an RHS-induced spatially correlated fading channel, whereas the energy transfer link is characterized by a deterministic spherical-wave line-of-sight channel together with a non-linear energy harvesting model. In the considered FBL setting, two beamforming strategies, namely the data-centric (D-C) and energy-centric (E-C) designs, are investigated to respectively favor data transmission and energy transfer. Under these two designs, closed-form or tractable approximate closed-form expressions are derived for the average decoding error probability and average achievable rate of the data user (DU), as well as the energy outage probability and average harvested energy of the energy user (EU). Moreover, the achievable rate-energy (R-E) region is characterized through a Pareto-optimal beamforming formulation. By exploiting the structure of the considered problem, a low-complexity reduced-dimensional beamforming algorithm is developed to efficiently construct the Pareto boundary. The obtained results reveal the fundamental performance limits of UAV-assisted holographic IDET under short-packet transmission and provide useful physical and algorithmic insights into the achievable R-E region. In particular, increasing the blocklength significantly improves the harvested energy and enhances the achievable rate and decoding reliability, whereas the marginal rate gain gradually diminishes once the blocklength is sufficiently large, revealing an important blocklength-rate-energy-latency tradeoff. Finally, Monte Carlo simulations validate the accuracy of the theoretical analysis.
Keywords:
Holographic integrated data and energy transfer (IDET)
unmanned aerial vehicle (UAV)
finite blocklength (FBL)
rate-energy (R-E) region
performance analysis
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