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Adaptive DSP for progressive transceivers in 6G: a fully software-defined, AI enhanced DSP framework.
R Sathishkumar1, D Vijendra Babu2
1School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, India.
Scientific Reports
|June 2, 2026
Summary
The new ADaPT-6 system offers adaptive digital signal processing (DSP) for 6G networks, improving performance and efficiency. This AI-powered solution enhances transceiver operations for reliable, high-speed communication.
Area of Science:
- Digital communication systems engineering
- Artificial intelligence in telecommunications
- Signal processing for wireless networks
Background:
- Upcoming 6G networks demand adaptable digital signal processing (DSP) systems to handle unpredictable channel conditions and environmental factors.
- Traditional DSP systems with fixed processing chains and hardware dependencies struggle to meet the high-speed, low-latency requirements of 6G.
- Existing solutions lack the real-time adaptability needed for dynamic communication environments.
Purpose of the Study:
- To introduce ADaPT-6 (Adaptive DSP for Progressive Transceivers in 6G), an AI-powered, software-based DSP system for 6G transceivers.
- To enable real-time adaptation of transceiver operations through intelligent learning and dynamic adjustments.
- To overcome the limitations of fixed DSP systems in variable communication channel conditions.
Main Methods:
- The ADaPT-6 system utilizes FlexiTune Modulation Adaptation to dynamically select optimal modulation schemes based on current channel conditions.
- The Signal State Evolution Engine predicts system behavior to proactively adjust filtering, equalization, and synchronization operations.
- The framework employs an entirely software-based, AI-powered approach for real-time processing and adaptation.
Main Results:
- ADaPT-6 demonstrates significant performance improvements over conventional DSP frameworks in 6G fronthauling simulations.
- Quantitative evaluation shows a ~20.8% increase in throughput, a ~23.7% reduction in latency, and a ~44.5% improvement in energy efficiency.
- The system consistently achieves lower Bit Error Rate (BER) and Error Vector Magnitude (EVM) across a wide Signal-to-Noise Ratio (SNR) range (0-20 dB).
Conclusions:
- ADaPT-6 provides an effective, hardware-agnostic, and scalable DSP solution for 6G transceiver systems.
- The AI-powered adaptive capabilities enhance spectral efficiency, system reliability, and operational efficiency.
- The framework represents a significant advancement for future AI-native 6G communication systems.
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