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This is a Quantitative Study study (also classified as: Experimental Study).

September 30, 2025Open Access

Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems

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Authors

HNHuy T. NguyenVan Lang University VNVan‐Dinh NguyenTrinity College Dublin NNNhan T. NguyenUniversity of Oulu

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Implication

This paper reveals how maximizing energy efficiency in mMIMO-ISAC systems enhances overall performance, indicating critical interactions between sensing and communication.

Key Points

Overall energy efficiency improves considerably by optimizing the balance between communication and sensing demands.
Simulation results indicate a 16.7% reduction in energy efficiency with rising communication spectral efficiency from 4 to 8 bps/Hz.
The study formulates a power allocation problem addressing both communication rate requirements and Cramér-Rao bounds in mMIMO systems.
A novel initialization strategy is proposed to enhance the performance of iterative algorithms in optimizing energy efficiency.

Cite This Study

Nguyen et al. (2025) studied this question.

synapsesocial.com/papers/68dc1e358a7d58c25ebb180d https://doi.org/10.48550/arxiv.2509.10290

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Implication

This paper reveals how maximizing energy efficiency in mMIMO-ISAC systems enhances overall performance, indicating critical interactions between sensing and communication.

Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems

Discussion

Member takes

Implication

Key Points

Cite This Study

Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems

Discussion

Member takes

Implication

Key Points

Cite This Study

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