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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao-Yuan Hsu Wen-Rong Wu |
| Copyright Year | 2006 |
| Description | Author affiliation: Nat. Chiao Tung Univ., Hsinchu (Chao-Yuan Hsu; Wen-Rong Wu) |
| Abstract | Orthogonal frequency-division multiplexing multiple access (OFDMA) has been considered as a promising multiple access technique in OFDM-based communication systems. In the system, all users share subcarriers in a frequency-division multiplexing manner. Similar to OFDM systems, the carrier frequency offset (CFO) induces inter-carrier interference (ICI) degrading the system performance seriously. However, since the CFO for each user may be different, the compensation turns out much more complicated than that in OFDM systems. A simple method to this problem is the use of a direct zero-forcing (ZF) method which involves the inverse of a matrix. The required computational complexity becomes prohibitively high when the number of subcarriers is large. In this paper, we propose a low-complexity method to overcome the problem in an interleaved uplink OFDMA system. We explore the special structure of the CFO-induced interference matrix and develop a method to solve the matrix inversion problem with fast Fourier transform (FFT). The proposed method can reduce the required computational complexity from $O(N_{c}$ $^{3})$ to $O(N_{c}log_{2}N_{c}).$ From the simulations, we can see that the proposed method can perform as well as that of the direct ZF method while the required complexity is much lower |
| Sponsorship | IEEE COM |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 155274 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424403294 |
| DOI | 10.1109/PIMRC.2006.253948 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-11 |
| Publisher Place | Finland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | OFDM Computational complexity Degradation Frequency division multiplexing System performance Fast Fourier transforms Computational modeling Interference cancellation Land mobile radio Mobile communication |
| Content Type | Text |
| Resource Type | Article |
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