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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongmei Dai Zhiyuan Yan |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Lehigh Univ., Lehigh, PA (Yongmei Dai; Zhiyuan Yan) |
| Abstract | In this paper, we propose a memory-constrained tree search (MCTS) algorithm for the detection in multiple-input multiple-output (MIMO) systems. The MCTS algorithm offers a wide range of trade-offs between computational complexity and memory requirement, and is guaranteed to achieve the exact maximum-likelihood performance. By tuning the memory size, the MCTS algorithm ranges from being memory-efficient to being computation-efficient with abundant choices in between.We show that the MCTS algorithm visits slightly fewer nodes and requires slightly less memory than the sphere decoding (SD) algorithm in the memory-efficient case, and visits similar number of nodes and requires significantly less memory than the stack algorithm in the computation-efficient case. |
| Starting Page | 1037 |
| Ending Page | 1041 |
| File Size | 878270 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424422463 |
| DOI | 10.1109/CISS.2008.4558671 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maximum likelihood detection stack Sphere Decoding Diversity methods Electronic mail Computational complexity Maximum likelihood decoding ZF-IC Wireless communication Receiving antennas MIMO Hardware Detection algorithms ML |
| Content Type | Text |
| Resource Type | Article |
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