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Conference Paper
Efficiently Using Extrinsic Gain for Candidate Vectors Selection in QR-LRL based IDD MIMO Receiver
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- Authors
- Divyang Rawal, Youn-Ok Park, Seungjae Bahng, Hoon Lee, Choi-Jung Pil, Vijay Kumar Chakka
- Issue Date
- 2012-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2012, pp.221-224
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Various OSIC MIMO detectors are considered suboptimal in terms of performance and complexity, however suffers from error propagation. QR-LRL is considered to be most effective to mitigate error performance as it detects the least reliable layer(LRL) symbol first. It achieves hard ML performance, but suffers from empty vector set(EVS) problem for soft output generation. Some of the previous work mitigates this problem effectively and achieves soft ML performance at the cost of complexity. QR-LRL based IDD(Iterative Detection and Decoding) is an alternative solution, which exchanges the extrinsic information between detector and decoder. Based on feed back knowledge from decoder, decision is made to update candidate vector set for soft output generation. Simulation results shows that significant performance improvement is achieved while keeping the receiver design simple. © 2012 IEEE.
- KSP Keywords
- Cost of Complexity, Empty vector set, Error propagation, Iterative detection and decoding, MIMO receiver, QR-LRL, Receiver design, Soft-output, error performance, extrinsic information, performance improvement