- Title
- A VLSI optimised parallel tree search for MIMO
- Creator
- Knagge, Geoff; Woodward, Graeme; Weller, Steven R.; Ninness, Brett
- Relation
- 6th Australian Communications Theory Workshop, 2005. Proceedings of the 6th Australian Communications Theory Workshop, 2005 (Brisbane, Qld. 2-4 February, 2005) p. 215-220
- Publisher Link
- http://dx.doi.org/10.1109/AUSCTW.2005.1624254
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2005
- Description
- Multiple input-multiple output (MIMO) systems are of great interest due to their ability to significantly increase the capacity of wireless communications systems, but for these to be useful they must also be practical for implementation in very large scale integrated (VLSI) circuits. A particularly difficult part of these systems is the detector, where the maximum-likelihood (ML) solution cannot be directly implemented due to its exponential complexity. Lattice decoders, such as the sphere search, exhibit near-ML performance with reduced complexity, but their application is still limited by computational requirements. Here, a number of optimisations are presented, designed to reduce the computational cost of the sphere search in the context of VLSI implementation for MIMO applications. We also propose parallel implementation strategies for such a detector, suitable for implementation in VLSI. This is then combined with a single-pass tree search approach and it is demonstrated that it can be designed so that the error-rate performance is not significantly impaired.
- Subject
- ASIC implementation; MIMO; sphere detector; tree search; VLSI
- Identifier
- uon:2721
- Identifier
- http://hdl.handle.net/1959.13/30862
- Identifier
- ISBN:0780390075
- Rights
- Copyright © 2005 IEEE. Reprinted from Proceedings of the 6th Australian Communications Theory Workshop, 2005, p. 215-220. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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