2025, Vol. 6, Issue 2, Part A
Design and performance analysis of energy-efficient modulation techniques for next-generation wireless communication
Author(s): Liang Chen, Mei Huang, and Zhao Wei
Abstract: The rapid expansion of data-intensive applications in 5G and anticipated 6G wireless systems has intensified the demand for modulation techniques that balance high throughput, low energy consumption, and robust reliability. This research presents the design and performance analysis of adaptive energy-efficient modulation (AM-EE) techniques, aimed at addressing the critical challenges of sustainable and resilient wireless communication. Using simulation models validated with hardware-in-the-loop testing, the study compared conventional schemes such as QPSK, 16-QAM, and OFDM-16QAM against the proposed AM-EE framework under diverse SNR conditions and mobility scenarios. Results demonstrated that AM-EE achieved significantly lower bit error rates at low to moderate SNRs by switching adaptively between robust and high-order constellations, while maintaining competitive throughput performance at higher SNRs. Energy analysis revealed that AM-EE consistently reduced energy per successfully transmitted bit across SNR levels, delivering practical efficiency gains even though statistical tests did not show strong inter-scheme significance. Throughput analysis under mobility highlighted the resilience of AM-EE, which sustained high performance even under high Doppler conditions, an advantage critical for vehicular and industrial IoT applications. The findings collectively validate the hypothesis that adaptive modulation with integrated power and error control can achieve a favorable balance of energy efficiency, throughput, and reliability, thereby supporting the sustainability goals of next-generation wireless systems. Practical recommendations arising from the study emphasize the integration of AM-EE into base station transceivers, the inclusion of energy-efficiency metrics in 6G standardization, policy incentives for green communication infrastructures, and collaborative cross-disciplinary research for algorithmic refinement. This work thus provides both theoretical insights and actionable pathways toward enabling energy-aware, high-performance communication networks in the era of exponential connectivity demands.
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Pages: 30-34 | Views: 116 | Downloads: 50
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How to cite this article:
Liang Chen, Mei Huang,, Zhao Wei. Design and performance analysis of energy-efficient modulation techniques for next-generation wireless communication. Int J Electr Data Commun 2025;6(2):30-34.
