Presentation | 2006-01-17 SIC-based Interference Cancellation Scheme which Selects the Largest SINR User among Multiple Received Anntenas in DS-CDMA System Junichiro NAKAMURA, Ryuichirou SHIMURA, Iwao SASASE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In DS-CDMA system uplink, MAIs limit severely the capacity of DS-CDMA system. There has been many studies on interference cancellation to mitigate MAIs. SIC has been demonstrated to show superior BER performance to parallel interference cancellation in frequency-selective fading channels. On the other hand, received anntena diversity technology is an effective method in the frequency selective DS-CDMA system to mitigate MAIs. In this paper, the DS-CDMA system equipped with SIC and received anntena diversity technology is investigated. In SIC, failure to detect the data of the large received-signal-power users and regenerate the corresponding interference replicas results in considerable BER performance degradation. Therefore, we proposed the SIC-based interference cancellation scheme which selects the largest SINR user among 2 multiple received anntenas in DS-CDMA. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SIC CDMA / DS-CDMA / MAI |
Paper # | CS2005-80 |
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Conference Information | |
Committee | CS |
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Conference Date | 2006/1/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Systems (CS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | SIC-based Interference Cancellation Scheme which Selects the Largest SINR User among Multiple Received Anntenas in DS-CDMA System |
Sub Title (in English) | |
Keyword(1) | SIC CDMA |
Keyword(2) | DS-CDMA |
Keyword(3) | MAI |
1st Author's Name | Junichiro NAKAMURA |
1st Author's Affiliation | Dept. of Information and Computer Science, Keio University() |
2nd Author's Name | Ryuichirou SHIMURA |
2nd Author's Affiliation | Dept. of Information and Computer Science, Keio University |
3rd Author's Name | Iwao SASASE |
3rd Author's Affiliation | Dept. of Information and Computer Science, Keio University |
Date | 2006-01-17 |
Paper # | CS2005-80 |
Volume (vol) | vol.105 |
Number (no) | 512 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |