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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fazel, K. |
| Copyright Year | 1994 |
| Description | Author affiliation: Inst. for Commun. Technol., German Aerosp. Res. Establ., Oberpfaffenhofen, Germany (Fazel, K.) |
| Abstract | The OFDM technique is an interesting approach in mobile communications in order to achieve a high spectral efficiency and to combat the frequency selectivity of the channel. Another interesting technique is a CDMA system with Rake-receiver. The main advantages of CDMA are well known, but its capacity is limited by multiuser interference. The aim of this study is to analyze the performance of a convolutionally-coded CDMA system combined with OFDM in a frequency/time selective fading channel, taking into account the near-far problem. This combination allows one to perform a maximum-likelihood detection (MLD), to use the available spectrum in an efficient way, to exploit frequency diversity and time diversity (provided by channel coding), and to retain many advantages of a CDMA system with a simpler hardware realization. An example for a mobile communication system using convolutionally-coded CDMA/OFDM with Walsh-Hadamard code-spreading for the downlink (base-mobile) is studied. The performance of a MLD is examined by taking into account the near-far problem. It is shown that the MLD is very robust to the near-far problem. It is also shown that by using BPSK modulation, in a 1.28 MHz bandwidth, one can transmit 64 active users at rate of about 10.34 kbit/sec.< |
| Starting Page | 1438 |
| Ending Page | 1442 |
| File Size | 538147 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780318250 |
| DOI | 10.1109/ICC.1994.368869 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-05-01 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Convolutional codes Multiaccess communication OFDM Mobile communication Interference Performance analysis Fading Maximum likelihood detection Frequency diversity Channel coding |
| Content Type | Text |
| Resource Type | Article |
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