Abstract
In previous work, we proposed the positive diagonal values (PDV) criterion, which is an exact-ML criterion of semidefinite relaxation (SDR) optimality condition. In this paper, we apply the PDV criterion to the tree-searching based MIMO detection by two ways. The first application is node-pruning algorithm for depth first search such as sphere decoding (SD). The proposed node-pruning algorithm using PDV criterion is not based on the Euclidean distance mostly used for node-pruning algorithm, instead, it uses an absolute test in each node so that it can be worked independently with many existing node-pruning algorithms. Furthermore, the proposed node-pruning algorithm can guarantee the exact-ML performance and reduce the number of nodes visited significantly. The second application is K-best algorithm of breadth first search. The proposed K-best algorithm takes K candidates at each stage based on PDV criterion. As a result, the proposed K-best algorithm can achieve near-ML performance.
Original language | English |
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Title of host publication | 2014, 8th International Conference on Signal Processing and Communication Systems, ICSPCS 2014 - Proceedings |
Editors | Beata J. Wysocki, Tadeusz A. Wysocki |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479952557 |
DOIs | |
Publication status | Published - 2014 Jan 23 |
Event | 8th International Conference on Signal Processing and Communication Systems, ICSPCS 2014 - Gold Coast, Australia Duration: 2014 Dec 15 → 2014 Dec 17 |
Publication series
Name | 2014, 8th International Conference on Signal Processing and Communication Systems, ICSPCS 2014 - Proceedings |
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Other
Other | 8th International Conference on Signal Processing and Communication Systems, ICSPCS 2014 |
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Country/Territory | Australia |
City | Gold Coast |
Period | 14/12/15 → 14/12/17 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing
- Electrical and Electronic Engineering