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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Masouros, C. Alsusa, E. |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester (Masouros, C.; Alsusa, E.) |
| Abstract | A novel code optimization scheme is presented for the downlink of multicarrier code division multiple access (MC-CDMA) systems employing phase shift keying (PSK) modulation. The optimization is based on dynamically re-allocating the available signature waveforms amongst the users on a symbol-by-symbol basis in order to manipulate and utilize interference amongst them. By applying the appropriate allocation criteria destructive interference between users is minimized while constructive is maximized. As a result, employing this on top of conventional schemes enhances the received signal to interference-plus-noise ratio (SINR) without additional transmitted power-per-user investment. The trade-off to the resulting performance improvement is the need for transmission of some extra side information, which by using the proposed processing is kept to a minimum. While performance benefits can be expected for various scenarios, the focus of this paper is on MC-CDMA precoding schemes. Analysis and simulations show a considerable bit error rate (BER) reduction for the case of decorrelating precoding methods. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 254678 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424423248 |
| ISSN | 1930529X |
| DOI | 10.1109/GLOCOM.2008.ECP.778 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multicarrier code division multiple access Interference Phase shift keying Bit error rate Downlink Phase modulation Modulation coding Signal to noise ratio Investments Analytical models |
| Content Type | Text |
| Resource Type | Article |
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