Reduced complexity list sphere decoding for MIMO systems |
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Affiliation: | 1. Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, via Claudio 21, I-80125 Napoli, Italy;2. CNAM-Electronique, 292 rue Saint-Martin, 75141 Paris cedex 03, France |
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Abstract: | Depth-first sphere decoding of MIMO systems has near maximum likelihood performance with reasonable computational complexity. In this paper, lower complexity depth-first sphere decoding and list sphere decoding algorithms are proposed. Several criteria for re-ordering the search dimensions are proposed. The proposed sphere decoders are shown to have a significantly reduced decoding complexity at low SNRs. To further reduce the complexity at high SNRs, the point search-space at each ordered dimension is adaptively reduced. Further reductions in the decoding complexity are achieved by inter-layer interference cancellation. It is shown that the proposed sphere decoding algorithms maintain their near-optimal performance, concurrently with a significant complexity reduction, over a wide SNR range. |
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Keywords: | MIMO Sphere decoding Depth-first search List decoding Interference cancellation |
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