Presentation 2007-06-29
Reduction of Feedback Overload by Exploiting Adaptive Channel in OFDMA systems
Satoru IIJIMA, Takamasa HASEGAWA, Rui ZHOU, Iwao SASASE,
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Abstract(in English) In channel adaptive OFDMA systems, it is important to feed back channel information in a fast, accurate and efficient way to improve the system performance, such as throughput and bit error rate (BER). However, a base station requires a large amount of feedback information of channel state information (CSI). In order to reduce the overload of CSI feedback, we propose a feedback scheme which only selects the users scheduled in the next time slot to feedback the channel information according to user mobility. We use adaptive modulation to apply bit rate adaptation depending on user channel condition, where the scheduling time is fixed. By fixing the packet size, scheduling time and feedback period can be variable according to user transmission rate as different time slots. We demonstrate by computer simulation that the proposed scheme can reduce the overload of user feedback with the minimum suppression of the throughput degradation.
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Keyword(in English) OFDMA / CSI / Adaptive modulation / Doppler frequency
Paper # RCS2007-23
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Committee RCS
Conference Date 2007/6/21(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) Reduction of Feedback Overload by Exploiting Adaptive Channel in OFDMA systems
Sub Title (in English)
Keyword(1) OFDMA
Keyword(2) CSI
Keyword(3) Adaptive modulation
Keyword(4) Doppler frequency
1st Author's Name Satoru IIJIMA
1st Author's Affiliation Dept. of Information and Computer Science, Keio University()
2nd Author's Name Takamasa HASEGAWA
2nd Author's Affiliation Dept. of Information and Computer Science, Keio University
3rd Author's Name Rui ZHOU
3rd Author's Affiliation Dept. of Information and Computer Science, Keio University
4th Author's Name Iwao SASASE
4th Author's Affiliation Dept. of Information and Computer Science, Keio University
Date 2007-06-29
Paper # RCS2007-23
Volume (vol) vol.107
Number (no) 113
Page pp.pp.-
#Pages 6
Date of Issue