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An Iterative Cancellation Technique for Adjacent Channel Interference Induced by Amplifier Nonlinearity in 60GHz Band Wireless Communication Systems
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This paper proposes an iterative cancellation technique for adjacent channel interference (ACI), induced by amplifier nonlinearity in millimeter wave (mmW) communication systems. In mmW communications, a large spectrum leak is expected because of the amplifier nonlinearity, and such a spectrum leak disturbs multichannel utilization. In order to mitigate the ACI, iterative interference cancellation in the receiver side is designed in this paper. Typically, iterative interference cancellation is conducted by generating a soft replica of interference from the feedback of the decoder, and subtracting the replica from the received signals. In this case, the canceller must know the amplifier nonlinearity in order to regenerate a soft replica of ACI. In this paper, amplifier nonlinearity is estimated by subjecting the received pilot signals to polynomial regression. We reveal that using only pilot signals in estimating amplifier nonlinearity is insufficient for guaranteeing replica accuracy. To address this issue, the proposed scheme exploits the detected data sequence in the regression analysis. We demonstrate that the proposed ACI cancellation technique can effectively mitigate ACI in multichannel utilization.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E100-B No.11 pp.2060-2069
- Publication Date
- 2017/11/01
- Publicized
- 2017/05/15
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2016EBT0006
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Noboru OSAWA
Osaka University
Shinsuke IBI
Osaka University
Seiichi SAMPEI
Osaka University
Keyword
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Noboru OSAWA, Shinsuke IBI, Seiichi SAMPEI, "An Iterative Cancellation Technique for Adjacent Channel Interference Induced by Amplifier Nonlinearity in 60GHz Band Wireless Communication Systems" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 11, pp. 2060-2069, November 2017, doi: 10.1587/transcom.2016EBT0006.
Abstract: This paper proposes an iterative cancellation technique for adjacent channel interference (ACI), induced by amplifier nonlinearity in millimeter wave (mmW) communication systems. In mmW communications, a large spectrum leak is expected because of the amplifier nonlinearity, and such a spectrum leak disturbs multichannel utilization. In order to mitigate the ACI, iterative interference cancellation in the receiver side is designed in this paper. Typically, iterative interference cancellation is conducted by generating a soft replica of interference from the feedback of the decoder, and subtracting the replica from the received signals. In this case, the canceller must know the amplifier nonlinearity in order to regenerate a soft replica of ACI. In this paper, amplifier nonlinearity is estimated by subjecting the received pilot signals to polynomial regression. We reveal that using only pilot signals in estimating amplifier nonlinearity is insufficient for guaranteeing replica accuracy. To address this issue, the proposed scheme exploits the detected data sequence in the regression analysis. We demonstrate that the proposed ACI cancellation technique can effectively mitigate ACI in multichannel utilization.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBT0006/_p
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@ARTICLE{e100-b_11_2060,
author={Noboru OSAWA, Shinsuke IBI, Seiichi SAMPEI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Iterative Cancellation Technique for Adjacent Channel Interference Induced by Amplifier Nonlinearity in 60GHz Band Wireless Communication Systems},
year={2017},
volume={E100-B},
number={11},
pages={2060-2069},
abstract={This paper proposes an iterative cancellation technique for adjacent channel interference (ACI), induced by amplifier nonlinearity in millimeter wave (mmW) communication systems. In mmW communications, a large spectrum leak is expected because of the amplifier nonlinearity, and such a spectrum leak disturbs multichannel utilization. In order to mitigate the ACI, iterative interference cancellation in the receiver side is designed in this paper. Typically, iterative interference cancellation is conducted by generating a soft replica of interference from the feedback of the decoder, and subtracting the replica from the received signals. In this case, the canceller must know the amplifier nonlinearity in order to regenerate a soft replica of ACI. In this paper, amplifier nonlinearity is estimated by subjecting the received pilot signals to polynomial regression. We reveal that using only pilot signals in estimating amplifier nonlinearity is insufficient for guaranteeing replica accuracy. To address this issue, the proposed scheme exploits the detected data sequence in the regression analysis. We demonstrate that the proposed ACI cancellation technique can effectively mitigate ACI in multichannel utilization.},
keywords={},
doi={10.1587/transcom.2016EBT0006},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - An Iterative Cancellation Technique for Adjacent Channel Interference Induced by Amplifier Nonlinearity in 60GHz Band Wireless Communication Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2060
EP - 2069
AU - Noboru OSAWA
AU - Shinsuke IBI
AU - Seiichi SAMPEI
PY - 2017
DO - 10.1587/transcom.2016EBT0006
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2017
AB - This paper proposes an iterative cancellation technique for adjacent channel interference (ACI), induced by amplifier nonlinearity in millimeter wave (mmW) communication systems. In mmW communications, a large spectrum leak is expected because of the amplifier nonlinearity, and such a spectrum leak disturbs multichannel utilization. In order to mitigate the ACI, iterative interference cancellation in the receiver side is designed in this paper. Typically, iterative interference cancellation is conducted by generating a soft replica of interference from the feedback of the decoder, and subtracting the replica from the received signals. In this case, the canceller must know the amplifier nonlinearity in order to regenerate a soft replica of ACI. In this paper, amplifier nonlinearity is estimated by subjecting the received pilot signals to polynomial regression. We reveal that using only pilot signals in estimating amplifier nonlinearity is insufficient for guaranteeing replica accuracy. To address this issue, the proposed scheme exploits the detected data sequence in the regression analysis. We demonstrate that the proposed ACI cancellation technique can effectively mitigate ACI in multichannel utilization.
ER -
English
