What does this research mean for the field?

In multi-slice 5G-NR uplinks, the energy-optimal transmit power varies significantly across different service slices (eMBB, mMTC, URLLC) and is highly sensitive to co-channel interference, requiring slice-aware power control to also be interference-aware. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Evaluate the joint energy efficiency and spectral efficiency trade-offs in a multi-slice 5G New Radio uplink configured for distinct service reliability targets with and without co-channel interference.

September 3, 2026TelecomOpen Access

Joint Energy–Spectral Efficiency Trade-Offs in a Multi-Slice 5G-NR Uplink: A Link-Level Evaluation with Per-Slice PUSCH Configuration

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Authors

YSYahya Saeed LALway Faisal Abdulrazak

Discussion

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Overview

Simulation study reveals distinct energy-spectral efficiency trade-offs across 5G network slices under co-channel interference, indicating that slice-aware power control must adapt dynamically.

Key Points

Evaluate the joint energy efficiency and spectral efficiency trade-offs in a multi-slice 5G New Radio uplink configured for distinct service reliability targets with and without co-channel interference.
Evaluated link-level performance using a 3GPP-compliant simulator built on the MATLAB 5G Toolbox across 1,440 operating points.
Tested combinations of FR1 and FR2 frequency bands, propagation delay profiles, transmit power levels, and user distances from the base station.
Configured distinct physical uplink shared channels matched to block error rate targets of 10⁻³ for eMBB, 10⁻⁵ for URLLC, and 10⁻¹ for mMTC, evaluated with and without a co-channel fixed-service interferer.
Network slices occupy distinct regions of the energy efficiency–spectral efficiency plane ordered eMBB above mMTC above URLLC, with each exhibiting an interior energy-optimal transmit power.
Co-channel interference reduces line-of-sight eMBB peak throughput by approximately 25% and peak energy efficiency by roughly 50%, whereas mMTC demonstrates the highest resilience.
Interference drives a 16 dB migration in the energy-optimal transmit power for URLLC, demonstrating that optimal operating points depend heavily on active interference.

Cite This Study

Saeed et al. (2026) studied this question.

synapsesocial.com/papers/6a993547636c6408cfa7d63f https://doi.org/10.3390/telecom7050112

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September 3, 2026TelecomOpen Access

Joint Energy–Spectral Efficiency Trade-Offs in a Multi-Slice 5G-NR Uplink: A Link-Level Evaluation with Per-Slice PUSCH Configuration

View Full Paper

Ask AI

Bookmark

Authors

YSYahya Saeed LALway Faisal Abdulrazak

Discussion

Member takes

Overview

Simulation study reveals distinct energy-spectral efficiency trade-offs across 5G network slices under co-channel interference, indicating that slice-aware power control must adapt dynamically.

Key Points

Evaluate the joint energy efficiency and spectral efficiency trade-offs in a multi-slice 5G New Radio uplink configured for distinct service reliability targets with and without co-channel interference.
Evaluated link-level performance using a 3GPP-compliant simulator built on the MATLAB 5G Toolbox across 1,440 operating points.
Tested combinations of FR1 and FR2 frequency bands, propagation delay profiles, transmit power levels, and user distances from the base station.
Configured distinct physical uplink shared channels matched to block error rate targets of 10⁻³ for eMBB, 10⁻⁵ for URLLC, and 10⁻¹ for mMTC, evaluated with and without a co-channel fixed-service interferer.
Network slices occupy distinct regions of the energy efficiency–spectral efficiency plane ordered eMBB above mMTC above URLLC, with each exhibiting an interior energy-optimal transmit power.
Co-channel interference reduces line-of-sight eMBB peak throughput by approximately 25% and peak energy efficiency by roughly 50%, whereas mMTC demonstrates the highest resilience.
Interference drives a 16 dB migration in the energy-optimal transmit power for URLLC, demonstrating that optimal operating points depend heavily on active interference.

Cite This Study

Saeed et al. (2026) studied this question.

synapsesocial.com/papers/6a993547636c6408cfa7d63f https://doi.org/10.3390/telecom7050112

View Full Paper

Ask AI

Bookmark