Energy-Efficient Adaptive Modulated Fixed-Complexity Sphere Decoder
Published in 2021 IEEE Workshop on Signal Processing Systems (SiPS 2021): Proceedings, 2021
This paper presents an adaptive fixed-complexity sphere decoder designed to enhance energy efficiency in Multiple-Input Multiple-Output (MIMO) systems. The proposed decoder dynamically adjusts its decoding complexity based on the modulation order, thereby reducing energy consumption without significantly compromising decoding performance.
Key contributions include:
Adaptive Complexity Adjustment: The decoder adapts its computational complexity in real-time, depending on the modulation order, leading to energy savings.
Fixed-Complexity Implementation: Despite the adaptive nature, the decoder maintains a fixed worst-case complexity, ensuring predictable performance.
Performance Evaluation: The proposed decoder is evaluated in terms of decoding error rate and energy consumption, demonstrating its effectiveness in reducing energy usage while maintaining decoding accuracy.
For further details, refer to the full paper: https://ieeexplore.ieee.org/document/9595145
Recommended citation: Wu, Y., & McAllister, J. (2021). Energy-Efficient Adaptive Modulated Fixed-Complexity Sphere Decoder. In *Proceedings of the 2021 IEEE Workshop on Signal Processing Systems (SiPS 2021)* (pp. 82–87). IEEE. https://doi.org/10.1109/SiPS52901.2021.9595145
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