Bounded Selective Spanning With Extended Fast Enumeration for MIMO-OFDM Systems Detection
Published in IEEE Transactions on Circuits and Systems I: Regular Papers, 64(9), 2556–2568, 2017
This paper presents a novel detection algorithm for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, which combines bounded selective spanning with extended fast enumeration techniques. The proposed algorithm aims to enhance detection performance while maintaining computational efficiency, addressing the challenges posed by high-dimensional signal spaces in MIMO systems.
Key contributions include:
Bounded Selective Spanning: Introduction of a bounded selective spanning technique that reduces the search space for potential solutions, thereby improving detection speed.
Extended Fast Enumeration: Development of an extended fast enumeration method that efficiently explores the reduced search space, further enhancing detection performance.
Performance Evaluation: Comprehensive evaluation of the proposed algorithm’s performance in terms of detection accuracy and computational complexity, demonstrating its effectiveness in MIMO-OFDM systems.
Recommended citation: Wu, Y., & McAllister, J. (2017). Bounded Selective Spanning With Extended Fast Enumeration for MIMO-OFDM Systems Detection. *IEEE Transactions on Circuits and Systems I: Regular Papers, 64*(9), 2556–2568. https://doi.org/10.1109/TCSI.2017.2716710
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