Presentation 2009-06-26
Spreading Code Sequences Appropriate for Maximum Likelihood Detection in MC-CDMA
Akira Wakamiya, Kenichi Higuchi,
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Abstract(in English) This paper investigates the spreading code sequences appropriate for the multicarrier code division multiple access (MC-CDMA) assuming the maximum likelihood detection (MLD) at the receiver. The conventional Walsh code sequence-based spreading code does not allow for exploitation of full diversity using MLD due to the zero product codeword distance. We propose two spreading codes named a rotated Walsh code which is generated by applying phase rotation to the conventional Walsh code sequence and quadrature amplitude modulation (QAM) code whose constellation after spreading and code-multiplexing takes QAM-like shape. By designing the spreading code so that the minimum product codeword distance becomes larger than zero, these proposed codes achieve full frequency diversity. Consequently, When the spreading factor is 2, 4 and 8, the proposed spreading code can reduce the received signal energy per bit-to-noise spectrum density ratio (E_b/N_0) for the average BER of 10^<-3> by approximately 5.5dB, 3.5dB and 2.0dB comparing to the conventional Walsh code sequence-based spreading code, respectively, when QPSK data modulation and MLD at receiver are assumed. Furthermore, when the 16QAM data modulation is used, the proposed spreading code can reduce the received E_b/N_0 by approximately 5.0dB and 7.0dB for the spreading factor of 2 and 4, respectively.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) MC-CDMA / Spreading code / Maximum likelihood detection / Diversity
Paper # RCS2009-48
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Conference Information
Committee RCS
Conference Date 2009/6/18(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spreading Code Sequences Appropriate for Maximum Likelihood Detection in MC-CDMA
Sub Title (in English)
Keyword(1) MC-CDMA
Keyword(2) Spreading code
Keyword(3) Maximum likelihood detection
Keyword(4) Diversity
1st Author's Name Akira Wakamiya
1st Author's Affiliation Department of Electrical Engineering, Graduate School of Science and Technology Tokyo University of Science()
2nd Author's Name Kenichi Higuchi
2nd Author's Affiliation Department of Electrical Engineering, Graduate School of Science and Technology Tokyo University of Science
Date 2009-06-26
Paper # RCS2009-48
Volume (vol) vol.109
Number (no) 105
Page pp.pp.-
#Pages 6
Date of Issue