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arXiv · 2610.05390

Energy Efficiency Optimization for 5G NR PDSCH: A Cross-Layer Link Abstraction Framework

Jaebum Park·Chan-Byoung Chae·Robert W. Heath Jr
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Abstract

Energy efficiency (EE) optimization for cellular links often assumes Shannon-capacity transmission. The 3GPP New Radio (NR) physical downlink shared channel (PDSCH), however, delivers a transport block whose size is fixed by the modulation and coding scheme (MCS), the rank, and the resource allocation chosen by the scheduler. The transport block must also meet a target block error rate (BLER). In this paper, we optimize EE for the NR PDSCH with the standard transport block size as the throughput and the target BLER as the constraint. Exponential effective signal-to-noise ratio (SNR) mapping (EESM) turns the BLER constraint into a convex per-subcarrier power constraint. We derive a closed-form waterfilling-like power allocation and an EE-maximizing MCS selection rule. With a single calibration parameter per MCS, fitted offline over 3GPP tapped delay line C (TDL-C) channels, EESM predicts the BLER without per-realization link-level simulation. Numerical results show that a Shannon-capacity baseline overestimates the EE of equal-power transmission by 1.5 to 1.7 times at high SNR within the transmit power budget.

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Jaebum Park, Chan-Byoung Chae, Robert W. Heath Jr. 2026-10-04. Energy Efficiency Optimization for 5G NR PDSCH: A Cross-Layer Link Abstraction Framework. https://arxiv.org/abs/2610.05390

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