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Rohit Saxena
School of Business, Galgotias University, Greater Noida, Uttar Pradesh, 203201, India
Priya Bhattacharjee
Mittal School of Business, Lovely Professional University, Phagwara, Punjab, 144411, India
Kavita Naidu
KIIT School of Management, KIIT Deemed to be University, Bhubaneswar, Odisha, 751024, India
Manoj Tiwari
Amity Business School, Amity University Uttar Pradesh, Noida, 201313, India
Sneha Iyer*
Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India
snehai@srmist.edu.in

Abstract

The accelerating deployment of fifth-generation (5G) mobile networks has positioned telecommunications operators at the intersection of two converging pressures: rising user expectations for ubiquitous and high-quality connectivity, and intensifying regulatory and societal demands for measurable progress toward carbon neutrality. This study investigates how the adoption of low-energy signal processing technology — including adaptive companding, graph-guided waveform shaping, and joint power amplifier optimization — can serve as a foundational lever for the sustainable transformation of telecom business models. Drawing on the natural-resource-based view, dynamic capabilities theory, and the sustainable business model innovation literature, we develop a multi-level conceptual framework that connects waveform-level energy efficiency gains to enterprise-scale carbon performance and, ultimately, to long-term competitive advantage. Using a mixed-methods design that integrates engineering simulation outputs with operational and financial data from twenty-three regional 5G deployments operated by mid-sized Asian and European carriers between 2022 and 2025, we quantify the carbon impact of low-energy signal processing and identify three distinct business model transformation pathways: a service innovation pathway centered on green B2B offerings, an operational efficiency pathway centered on infrastructure cost reduction, and a stakeholder value pathway centered on ESG-aligned financing. Empirical results show that low-energy signal processing reduces per-site annual energy consumption by approximately thirty-five percent, accelerates return-on-investment break-even by around 2.3 years compared to conventional 5G upgrades, and supports cumulative carbon savings on the order of 2.7 thousand tons of CO2-equivalent per macro site over a six-year horizon. The findings provide telecom executives, regulators, and green investors with an actionable evidence base for aligning physical-layer engineering decisions with corporate decarbonization roadmaps.

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How to Cite

Saxena, R., Bhattacharjee, P., Naidu, K., Tiwari, M., & Iyer, S. (2025). Sustainable Innovation Path for Green Telecom Operators: 5G Business Model Transformation and Carbon Neutrality Strategy Driven by Low-Energy Signal Processing Technology. Journal of Business and Green Innovation, 3(4), 1-25. https://doi.org/10.63646/jbgi.2025.030401

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