IEICE TRANSACTIONS on Fundamentals
A Co-channel Interference Cancellation Method Using Low Dimensional Sphere Decoding for MIMO Communication Systems
Summary :
This paper proposes a co-channel interference cancellation method for multiple-input multiple-output (MIMO) wireless communication systems. Maximum-likelihood multi-user detection (ML-MUD), which is one of the co-channel interference cancellation methods at a receiver side, has excellent bit error rate (BER) performance. However, computational complexity of the ML-MUD is prohibitive, because the ML-MUD must search for the most probable symbol vector from all candidates of the transmitted signals. We apply sphere decoding (SD) to the ML-MUD in order to reduce the computational complexity of the ML-MUD, and moreover we propose a modified version of the SD suitable for the ML-MUD. The proposed method extracts desired signal components from a received signal vector and a channel matrix decomposed the upper triangular form, and then performs the SD to the low dimensional model in order to detect the transmitted signals of the desired user. Computer simulation confirms that the proposed method can suppress the undesired signals and detect the desired signals, offering significant reduction of the computational complexity of the conventional method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.10 pp.2526-2534
- Publication Date
- 2006/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.10.2526
- Type of Manuscript
- Special Section PAPER (Special Section on Information Theory and Its Applications)
- Category
- Coding Theory
Authors
Keyword
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Masatsugu HIGASHINAKA, Akihiro OKAZAKI, Katsuyuki MOTOYOSHI, Takayuki NAGAYASU, Hiroshi KUBO, Akihiro SHIBUYA, "A Co-channel Interference Cancellation Method Using Low Dimensional Sphere Decoding for MIMO Communication Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 10, pp. 2526-2534, October 2006, doi: 10.1093/ietfec/e89-a.10.2526.
Abstract: This paper proposes a co-channel interference cancellation method for multiple-input multiple-output (MIMO) wireless communication systems. Maximum-likelihood multi-user detection (ML-MUD), which is one of the co-channel interference cancellation methods at a receiver side, has excellent bit error rate (BER) performance. However, computational complexity of the ML-MUD is prohibitive, because the ML-MUD must search for the most probable symbol vector from all candidates of the transmitted signals. We apply sphere decoding (SD) to the ML-MUD in order to reduce the computational complexity of the ML-MUD, and moreover we propose a modified version of the SD suitable for the ML-MUD. The proposed method extracts desired signal components from a received signal vector and a channel matrix decomposed the upper triangular form, and then performs the SD to the low dimensional model in order to detect the transmitted signals of the desired user. Computer simulation confirms that the proposed method can suppress the undesired signals and detect the desired signals, offering significant reduction of the computational complexity of the conventional method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.10.2526/_p
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@ARTICLE{e89-a_10_2526,
author={Masatsugu HIGASHINAKA, Akihiro OKAZAKI, Katsuyuki MOTOYOSHI, Takayuki NAGAYASU, Hiroshi KUBO, Akihiro SHIBUYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Co-channel Interference Cancellation Method Using Low Dimensional Sphere Decoding for MIMO Communication Systems},
year={2006},
volume={E89-A},
number={10},
pages={2526-2534},
abstract={This paper proposes a co-channel interference cancellation method for multiple-input multiple-output (MIMO) wireless communication systems. Maximum-likelihood multi-user detection (ML-MUD), which is one of the co-channel interference cancellation methods at a receiver side, has excellent bit error rate (BER) performance. However, computational complexity of the ML-MUD is prohibitive, because the ML-MUD must search for the most probable symbol vector from all candidates of the transmitted signals. We apply sphere decoding (SD) to the ML-MUD in order to reduce the computational complexity of the ML-MUD, and moreover we propose a modified version of the SD suitable for the ML-MUD. The proposed method extracts desired signal components from a received signal vector and a channel matrix decomposed the upper triangular form, and then performs the SD to the low dimensional model in order to detect the transmitted signals of the desired user. Computer simulation confirms that the proposed method can suppress the undesired signals and detect the desired signals, offering significant reduction of the computational complexity of the conventional method.},
keywords={},
doi={10.1093/ietfec/e89-a.10.2526},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - A Co-channel Interference Cancellation Method Using Low Dimensional Sphere Decoding for MIMO Communication Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2526
EP - 2534
AU - Masatsugu HIGASHINAKA
AU - Akihiro OKAZAKI
AU - Katsuyuki MOTOYOSHI
AU - Takayuki NAGAYASU
AU - Hiroshi KUBO
AU - Akihiro SHIBUYA
PY - 2006
DO - 10.1093/ietfec/e89-a.10.2526
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2006
AB - This paper proposes a co-channel interference cancellation method for multiple-input multiple-output (MIMO) wireless communication systems. Maximum-likelihood multi-user detection (ML-MUD), which is one of the co-channel interference cancellation methods at a receiver side, has excellent bit error rate (BER) performance. However, computational complexity of the ML-MUD is prohibitive, because the ML-MUD must search for the most probable symbol vector from all candidates of the transmitted signals. We apply sphere decoding (SD) to the ML-MUD in order to reduce the computational complexity of the ML-MUD, and moreover we propose a modified version of the SD suitable for the ML-MUD. The proposed method extracts desired signal components from a received signal vector and a channel matrix decomposed the upper triangular form, and then performs the SD to the low dimensional model in order to detect the transmitted signals of the desired user. Computer simulation confirms that the proposed method can suppress the undesired signals and detect the desired signals, offering significant reduction of the computational complexity of the conventional method.
ER -
English
