A Soft-Output MIMO Detector with Achievable Information Rate based Partial Marginalization
(2017) In IEEE Transactions on Signal Processing 65(6). p.1622-1627- Abstract
- In this paper, we propose a soft-output detector for multiple-input multiple-output (MIMO) channels that utilizes achievable information rate (AIR) based partial marginalization (PM). The proposed AIR based PM (AIR-PM) detector has superior performance compared to previously proposed PM designs and other soft-output detectors such as K-best, while at the same time yielding lower computational complexity, a detection latency that is independent of the number of transmit layers, and straightforward inclusion of soft input information. Using a tree representation of the MIMO signal, the key property of the AIRPM is that the connections among all child layers are broken. Therefore, least-square (LS) estimates used for marginalization are... (More)
- In this paper, we propose a soft-output detector for multiple-input multiple-output (MIMO) channels that utilizes achievable information rate (AIR) based partial marginalization (PM). The proposed AIR based PM (AIR-PM) detector has superior performance compared to previously proposed PM designs and other soft-output detectors such as K-best, while at the same time yielding lower computational complexity, a detection latency that is independent of the number of transmit layers, and straightforward inclusion of soft input information. Using a tree representation of the MIMO signal, the key property of the AIRPM is that the connections among all child layers are broken. Therefore, least-square (LS) estimates used for marginalization are obtained independently and in parallel, which have better quality than the zero-forcing decision feedback (ZF-DF) estimates used in previous PM designs. Such a property of the AIRPM detector is designed via a mismatched detection model that maximizes the AIR. Furthermore, we show that the chain rule holds for the AIR calculation, which facilitates an information theoretic characterization of the AIR-PM detector. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4a1a9cd3-578e-44c8-b184-55bb1afc0caa
- author
- Hu, Sha LU and Rusek, Fredrik LU
- organization
- publishing date
- 2017-03-15
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Transactions on Signal Processing
- volume
- 65
- issue
- 6
- pages
- 1622 - 1627
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85014949602
- wos:000395423500019
- ISSN
- 1053-587X
- DOI
- 10.1109/TSP.2016.2641393
- language
- English
- LU publication?
- yes
- id
- 4a1a9cd3-578e-44c8-b184-55bb1afc0caa
- date added to LUP
- 2016-12-22 13:00:45
- date last changed
- 2022-05-02 08:11:12
@article{4a1a9cd3-578e-44c8-b184-55bb1afc0caa, abstract = {{In this paper, we propose a soft-output detector for multiple-input multiple-output (MIMO) channels that utilizes achievable information rate (AIR) based partial marginalization (PM). The proposed AIR based PM (AIR-PM) detector has superior performance compared to previously proposed PM designs and other soft-output detectors such as K-best, while at the same time yielding lower computational complexity, a detection latency that is independent of the number of transmit layers, and straightforward inclusion of soft input information. Using a tree representation of the MIMO signal, the key property of the AIRPM is that the connections among all child layers are broken. Therefore, least-square (LS) estimates used for marginalization are obtained independently and in parallel, which have better quality than the zero-forcing decision feedback (ZF-DF) estimates used in previous PM designs. Such a property of the AIRPM detector is designed via a mismatched detection model that maximizes the AIR. Furthermore, we show that the chain rule holds for the AIR calculation, which facilitates an information theoretic characterization of the AIR-PM detector.}}, author = {{Hu, Sha and Rusek, Fredrik}}, issn = {{1053-587X}}, language = {{eng}}, month = {{03}}, number = {{6}}, pages = {{1622--1627}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Signal Processing}}, title = {{A Soft-Output MIMO Detector with Achievable Information Rate based Partial Marginalization}}, url = {{http://dx.doi.org/10.1109/TSP.2016.2641393}}, doi = {{10.1109/TSP.2016.2641393}}, volume = {{65}}, year = {{2017}}, }