Nov 1, 2022 · In this paper, we propose a deep learning based sphere decoding (SD) scheme to reduce the detection complexity for the multiple-input ...

Abstract—In this paper, we propose a deep learning based sphere decoding (SD) scheme to reduce the detection complexity.

A deep learning based sphere decoding (SD) scheme to reduce the detection complexity for the multiple-input multiple-output (MIMO) communication systems by ...

Oct 22, 2024 · In this paper, we propose a deep learning based sphere decoding (SD) scheme to reduce the detection complexity for the multiple-input ...

Nov 14, 2023 · In this paper, we propose a deep learning based breadth-first sphere decoding (SD) scheme to reduce the detection complexity for ...

Abstract—In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the radius of the decoding hypersphere is learned by a deep ...

Aug 2, 2024 · In this paper, we propose a deep learning based breadth-first sphere decoding (SD) scheme to reduce the detection complexity for ...

This paper proposes a learning-based network (DLNet) to design an M-MIMO decoder. The DLNet network architecture is designed by iteratively unfolding the ...

Mar 25, 2024 · The performance achieved by the proposed algorithm is very close to the optimal maximum likelihood decoding ( MLD ) over a wide range of signal- ...

Depth-first sphere decoding of MIMO systems has near maximum likelihood performance with reasonable computational complexity. In this paper, lower ...