Presentation 2009-01-22
Allocation of Subchannel Based on SINR and OVSF Codes with Allocation Rate to reduce the Self Interference in OFDMA-CDM with Rate Adaptation
Satoru IIJIMA, Iwao SASASE,
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Abstract(in English) In OFDMA-CDM, rate adaptation is researched as one of the key techniques improved the reliability of the transmission signal, which controls the transmission rate by changing the multiplexing ratio of spreading code according to the channel condition and QoS requirement. However, even if the rate adaptation is used, because of the size of one subchannel depends on the spreading code length, a influence of the fading shift which receives transmission signal may depend on the spreading code length regardless of the increase and decrease of the multiplexing ratio. Therefore, if the influence of fading shift according to the multiplexing ratio is suppressed, the effect of rate adaptation can be improved. And then, by doing subchannel allocation by using multiuser diversity, the effect of rate adaptation can be more improved. Thus, we propose subchannel allocation scheme based on the maximum, minimum and average SINR and OVSF code allocation scheme to reverse diffusion in narrowband when the multiplexing ratio is decreased. The simulation results show that the proposed scheme can improve the BER performance to reduce the influence of the fading shift by allocating subchannel and OVSF codes.
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Keyword(in English) OFDMA-CDM / rate adaptation / OVSF code
Paper # SIP2008-133,RCS2008-181
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Conference Information
Committee SIP
Conference Date 2009/1/15(1days)
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Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Allocation of Subchannel Based on SINR and OVSF Codes with Allocation Rate to reduce the Self Interference in OFDMA-CDM with Rate Adaptation
Sub Title (in English)
Keyword(1) OFDMA-CDM
Keyword(2) rate adaptation
Keyword(3) OVSF code
1st Author's Name Satoru IIJIMA
1st Author's Affiliation Dept. of Information and Computer Science, Keio University()
2nd Author's Name Iwao SASASE
2nd Author's Affiliation Dept. of Information and Computer Science, Keio University
Date 2009-01-22
Paper # SIP2008-133,RCS2008-181
Volume (vol) vol.108
Number (no) 390
Page pp.pp.-
#Pages 6
Date of Issue