When Feedback Empowers the Uplink: Integrating Adaptive Coding with Wireless Power Transfer

Fuente: arXiv
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Main Authors: Yang, Zijian, Shao, Yulin, Ma, Shaodan
Format: Preprint
Published: 2025
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author Yang, Zijian
Shao, Yulin
Ma, Shaodan
author_facet Yang, Zijian
Shao, Yulin
Ma, Shaodan
contents Energy consumption and device lifetime are critical concerns for battery-constrained IoT devices. This paper introduces the Feedback-Aided Coding and Energy Transfer (FACET) framework, which synergistically combines adaptive feedback channel coding with wireless power transfer. FACET leverages the saturation effect of feedback coding, where increasing downlink power yields diminishing returns, to design a dual-purpose feedback mechanism that simultaneously guides uplink coding and replenishes device energy. We characterize the inherent tradeoff between feedback precision and harvested power, and formulate a fairness-constrained min-max optimization problem to minimize worst-case net energy consumption. An efficient algorithm based on alternating optimization and Lagrangian duality is developed, with each subproblem admitting a closed-form solution. Simulations show that FACET nearly triples device lifetime compared to conventional feedback coding architectures, and remains robust across a wide range of power regimes. These results suggest that FACET not only improves communication efficiency but also redefines the role of feedback in energy-constrained IoT systems.
format Preprint
id arxiv_https___arxiv_org_abs_2505_21951
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle When Feedback Empowers the Uplink: Integrating Adaptive Coding with Wireless Power Transfer
Yang, Zijian
Shao, Yulin
Ma, Shaodan
Information Theory
Signal Processing
Energy consumption and device lifetime are critical concerns for battery-constrained IoT devices. This paper introduces the Feedback-Aided Coding and Energy Transfer (FACET) framework, which synergistically combines adaptive feedback channel coding with wireless power transfer. FACET leverages the saturation effect of feedback coding, where increasing downlink power yields diminishing returns, to design a dual-purpose feedback mechanism that simultaneously guides uplink coding and replenishes device energy. We characterize the inherent tradeoff between feedback precision and harvested power, and formulate a fairness-constrained min-max optimization problem to minimize worst-case net energy consumption. An efficient algorithm based on alternating optimization and Lagrangian duality is developed, with each subproblem admitting a closed-form solution. Simulations show that FACET nearly triples device lifetime compared to conventional feedback coding architectures, and remains robust across a wide range of power regimes. These results suggest that FACET not only improves communication efficiency but also redefines the role of feedback in energy-constrained IoT systems.
title When Feedback Empowers the Uplink: Integrating Adaptive Coding with Wireless Power Transfer
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2505.21951