Analysis of Energy Efficiency of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints

This paper investigates the information-theoretic energy efficiency of intelligent reflecting surface (IRS)-aided wireless communication systems, taking into account the statistical quality-of-service (QoS) constraints on delay violation probabilities. Specifically, effective capacity is adopted to capture the maximum constant arrival rate that can be supported by a time-varying service process while fulfilling these statistical QoS requirements. We derive the minimum bit energy required for the IRS-aided wireless communication system under QoS constraints and analyze the spectral efficiency and energy efficiency tradeoff at low but nonzero signal-to-noise ratio (SNR) levels by also characterizing the wideband slope values. Our analysis demonstrates that deploying a sufficiently large number of IRS reflecting elements can substantially reduce energy consumption required to achieve desired spectral efficiency performance in the low-power regime. Besides, we reveal that compared with the results applied to the low-power regime, higher effective capacity performance can be achieved in scenarios with sparse multipath fading while achieving the same minimum bit energy in the wideband regime.

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Published
2025-06-08
DOI
https://doi.org/10.1109/iccworkshops67674.2025.11162459
Primary Topic
Wireless Communication Networks Research
Type
article
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article

Analysis of Energy Efficiency of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints

Derrick Wing Kwan Ng, Lei Yang, Deli Qiao, Wenhao Wang et al.
Wireless Communication Networks Research
article

Analysis of Energy Efficiency of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints

Derrick Wing Kwan Ng, Lei Yang, Deli Qiao, Wenhao Wang, Yueying Zhan
article en

Abstract

This paper investigates the information-theoretic energy efficiency of intelligent reflecting surface (IRS)-aided wireless communication systems, taking into account the statistical quality-of-service (QoS) constraints on delay violation probabilities. Specifically, effective capacity is adopted to capture the maximum constant arrival rate that can be supported by a time-varying service process while fulfilling these statistical QoS requirements. We derive the minimum bit energy required for the IRS-aided wireless communication system under QoS constraints and analyze the spectral efficiency and energy efficiency tradeoff at low but nonzero signal-to-noise ratio (SNR) levels by also characterizing the wideband slope values. Our analysis demonstrates that deploying a sufficiently large number of IRS reflecting elements can substantially reduce energy consumption required to achieve desired spectral efficiency performance in the low-power regime. Besides, we reveal that compared with the results applied to the low-power regime, higher effective capacity performance can be achieved in scenarios with sparse multipath fading while achieving the same minimum bit energy in the wideband regime.

Chinese Academy of Sciences (CN), UNSW Sydney (AU), Technology and Engineering Center for Space Utilization (CN), East China Normal University (CN)
Openalex Percentile: Top 70%
Wireless Communication Networks Research
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Analysis of Energy Efficiency of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints — Derrick Wing Kwan Ng, Lei Yang, et al. · (2025) | TGRS Research Map | TGRS