FFT design for OFDM-based cognitive radio using a reconfigurable baseband processing architecture

Wenqing Lu; Gerald E. Sobelman; Xiaofang Zhou; Junyan Ren

doi:10.1109/ASICON.2013.6811971

FFT design for OFDM-based cognitive radio using a reconfigurable baseband processing architecture

Wenqing Lu, Gerald E. Sobelman, Xiaofang Zhou, Junyan Ren

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Cognitive Radio (CR) has been proposed to address the apparent paradox between spectrum scarcity and spectrum underutilization. It requires the use of a reconfigurable architecture to support a wide range of operating modes. In the case of OFDM-based CR, several subcarriers could interfere with licensed (i.e., the primary) users, so there may be a large number of zero-valued input/output points of the IFFT/FFT and the standard FFT algorithms are not efficient in such a situation. In this paper, we discuss how a more appropriate FFT algorithm, transform decomposition, can be mapped onto a reconfigurable baseband processing architecture. Two mapping methods are proposed to meet various user requirements.

Original language	English (US)
Title of host publication	2013 IEEE 10th International Conference on ASIC, ASICON 2013
Publisher	IEEE Computer Society
ISBN (Print)	9781467364157
DOIs	https://doi.org/10.1109/ASICON.2013.6811971
State	Published - 2013
Event	2013 IEEE 10th International Conference on ASIC, ASICON 2013 - Shenzhen, China Duration: Oct 28 2013 → Oct 31 2013

Publication series

Name	Proceedings of International Conference on ASIC
ISSN (Print)	2162-7541
ISSN (Electronic)	2162-755X

Other

Other	2013 IEEE 10th International Conference on ASIC, ASICON 2013
Country/Territory	China
City	Shenzhen
Period	10/28/13 → 10/31/13

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FFT design for OFDM-based cognitive radio using a reconfigurable baseband processing architecture. / Lu, Wenqing; Sobelman, Gerald E.; Zhou, Xiaofang et al.
2013 IEEE 10th International Conference on ASIC, ASICON 2013. IEEE Computer Society, 2013. 6811971 (Proceedings of International Conference on ASIC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lu, W, Sobelman, GE, Zhou, X & Ren, J 2013, FFT design for OFDM-based cognitive radio using a reconfigurable baseband processing architecture. in 2013 IEEE 10th International Conference on ASIC, ASICON 2013., 6811971, Proceedings of International Conference on ASIC, IEEE Computer Society, 2013 IEEE 10th International Conference on ASIC, ASICON 2013, Shenzhen, China, 10/28/13. https://doi.org/10.1109/ASICON.2013.6811971

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abstract = "Cognitive Radio (CR) has been proposed to address the apparent paradox between spectrum scarcity and spectrum underutilization. It requires the use of a reconfigurable architecture to support a wide range of operating modes. In the case of OFDM-based CR, several subcarriers could interfere with licensed (i.e., the primary) users, so there may be a large number of zero-valued input/output points of the IFFT/FFT and the standard FFT algorithms are not efficient in such a situation. In this paper, we discuss how a more appropriate FFT algorithm, transform decomposition, can be mapped onto a reconfigurable baseband processing architecture. Two mapping methods are proposed to meet various user requirements.",

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AB - Cognitive Radio (CR) has been proposed to address the apparent paradox between spectrum scarcity and spectrum underutilization. It requires the use of a reconfigurable architecture to support a wide range of operating modes. In the case of OFDM-based CR, several subcarriers could interfere with licensed (i.e., the primary) users, so there may be a large number of zero-valued input/output points of the IFFT/FFT and the standard FFT algorithms are not efficient in such a situation. In this paper, we discuss how a more appropriate FFT algorithm, transform decomposition, can be mapped onto a reconfigurable baseband processing architecture. Two mapping methods are proposed to meet various user requirements.

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FFT design for OFDM-based cognitive radio using a reconfigurable baseband processing architecture

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