IEICE TRANSACTIONS on Fundamentals
A Low-Power Multi Resolution Spectrum Sensing Architecture for a Wireless Sensor Network with Cognitive Radio
Summary :
Concomitantly with the progress of wireless communications, cognitive radio has attracted attention as a solution for depleted frequency bands. Cognitive radio is suitable for wireless sensor networks because it reduces collisions and thereby achieves energy-efficient communication. To make cognitive radio practical, we propose a low-power multi-resolution spectrum sensing (MRSS) architecture that has flexibility in sensing frequency bands. The conventional MRSS scheme consumes much power and can be adapted only slightly to process scaling because it comprises analog circuits. In contrast, the proposed architecture carries out signal processing in a digital domain and can detect occupied frequency bands at multiple resolutions and with low power. Our digital MRSS module can be implemented in 180-nm and 65-nm CMOS processes using Verilog-HDL. We confirmed that the processes respectively dissipate 9.97 mW and 3.45 mW.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.11 pp.2287-2294
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E94.A.2287
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Mobile Information Network and Personal Communications
Authors
Toshihiro KONISHI
Shintaro IZUMI
Koh TSURUDA
Hyeokjong LEE
Takashi TAKEUCHI
Masahiko YOSHIMOTO
Hiroshi KAWAGUCHI
Keyword
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Toshihiro KONISHI, Shintaro IZUMI, Koh TSURUDA, Hyeokjong LEE, Takashi TAKEUCHI, Masahiko YOSHIMOTO, Hiroshi KAWAGUCHI, "A Low-Power Multi Resolution Spectrum Sensing Architecture for a Wireless Sensor Network with Cognitive Radio" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 11, pp. 2287-2294, November 2011, doi: 10.1587/transfun.E94.A.2287.
Abstract: Concomitantly with the progress of wireless communications, cognitive radio has attracted attention as a solution for depleted frequency bands. Cognitive radio is suitable for wireless sensor networks because it reduces collisions and thereby achieves energy-efficient communication. To make cognitive radio practical, we propose a low-power multi-resolution spectrum sensing (MRSS) architecture that has flexibility in sensing frequency bands. The conventional MRSS scheme consumes much power and can be adapted only slightly to process scaling because it comprises analog circuits. In contrast, the proposed architecture carries out signal processing in a digital domain and can detect occupied frequency bands at multiple resolutions and with low power. Our digital MRSS module can be implemented in 180-nm and 65-nm CMOS processes using Verilog-HDL. We confirmed that the processes respectively dissipate 9.97 mW and 3.45 mW.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.2287/_p
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@ARTICLE{e94-a_11_2287,
author={Toshihiro KONISHI, Shintaro IZUMI, Koh TSURUDA, Hyeokjong LEE, Takashi TAKEUCHI, Masahiko YOSHIMOTO, Hiroshi KAWAGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low-Power Multi Resolution Spectrum Sensing Architecture for a Wireless Sensor Network with Cognitive Radio},
year={2011},
volume={E94-A},
number={11},
pages={2287-2294},
abstract={Concomitantly with the progress of wireless communications, cognitive radio has attracted attention as a solution for depleted frequency bands. Cognitive radio is suitable for wireless sensor networks because it reduces collisions and thereby achieves energy-efficient communication. To make cognitive radio practical, we propose a low-power multi-resolution spectrum sensing (MRSS) architecture that has flexibility in sensing frequency bands. The conventional MRSS scheme consumes much power and can be adapted only slightly to process scaling because it comprises analog circuits. In contrast, the proposed architecture carries out signal processing in a digital domain and can detect occupied frequency bands at multiple resolutions and with low power. Our digital MRSS module can be implemented in 180-nm and 65-nm CMOS processes using Verilog-HDL. We confirmed that the processes respectively dissipate 9.97 mW and 3.45 mW.},
keywords={},
doi={10.1587/transfun.E94.A.2287},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - A Low-Power Multi Resolution Spectrum Sensing Architecture for a Wireless Sensor Network with Cognitive Radio
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2287
EP - 2294
AU - Toshihiro KONISHI
AU - Shintaro IZUMI
AU - Koh TSURUDA
AU - Hyeokjong LEE
AU - Takashi TAKEUCHI
AU - Masahiko YOSHIMOTO
AU - Hiroshi KAWAGUCHI
PY - 2011
DO - 10.1587/transfun.E94.A.2287
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2011
AB - Concomitantly with the progress of wireless communications, cognitive radio has attracted attention as a solution for depleted frequency bands. Cognitive radio is suitable for wireless sensor networks because it reduces collisions and thereby achieves energy-efficient communication. To make cognitive radio practical, we propose a low-power multi-resolution spectrum sensing (MRSS) architecture that has flexibility in sensing frequency bands. The conventional MRSS scheme consumes much power and can be adapted only slightly to process scaling because it comprises analog circuits. In contrast, the proposed architecture carries out signal processing in a digital domain and can detect occupied frequency bands at multiple resolutions and with low power. Our digital MRSS module can be implemented in 180-nm and 65-nm CMOS processes using Verilog-HDL. We confirmed that the processes respectively dissipate 9.97 mW and 3.45 mW.
ER -
English
