Journal article
VLSI implementation of a fully-pipelined K-Best MIMO detector with successive interference cancellation
- Abstract:
- Multiple-input multiple-output (MIMO) technology is envisaged to play an important role in future wireless communications. To this end, novel algorithms and architectures are required to implement high-throughput MIMO communications at low power consumption. In this paper, we present the hardware implementation of a modified K-best algorithm combining conventional K-best detection and low-complexity successive interference cancellation at different levels of the tree search. The detector is implemented using a fully-pipelined architecture, which detects one symbol vector per clock cycle. To reduce the power consumption of the entire receiver unit, costly symbol-rate operations such as multiplication are eliminated both within and outside the detector without any impact on the performance. The hardware implementation of the modified K-best algorithm achieves area and power reductions of 16% and 38%, respectively, compared with the conventional K-best algorithm implementation, while incurring a signal-to-noise ratio penalty of 0.3 dB at the target bit error rate. Post-synthesis analysis shows that the detector achieves a throughput of 3.29 Gbps at a clock frequency of 137 MHz with a power consumption of 357 mW using a 65-nm CMOS process, which compares favourably with the state-of-the-art implementations in the literature.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 764.5KB, Terms of use)
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- Publisher copy:
- 10.1007/s00034-019-01079-0
Authors
- Publisher:
- Springer
- Journal:
- Circuits, Systems, and Signal Processing More from this journal
- Volume:
- 38
- Pages:
- 4739-4761
- Publication date:
- 2019-03-15
- Acceptance date:
- 2019-02-26
- DOI:
- EISSN:
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1531-5878
- ISSN:
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0278-081X
- Keywords:
- Pubs id:
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pubs:995501
- UUID:
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uuid:473ead41-08e2-4c19-9c74-b8be3b76246c
- Local pid:
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pubs:995501
- Source identifiers:
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995501
- Deposit date:
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2020-01-14
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- Copyright date:
- 2019
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