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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kalwar, Saadullah Ayaz, Ferheen Korai, Umair Ahmed Arain, Zulfiqar Ali |
| Copyright Year | 2016 |
| Abstract | Single Carrier Frequency Division Multiplexing is a promising technique for high data rate uplink communication in 3GPP Long Term Evolution. It has a major advantage of low peak to average power ratio as compared to conventional Orthogonal Frequency Division Multiplexing systems. However, the problem of Carrier Frequency Offset (CFO) exists in both the systems. Different CFOs of the received signal damage orthogonality of the subcarriers. The two main reasons for this problem are misalignment of oscillator and Doppler shift effect. It results in overall performance degradation by causing inter carrier interface and multi user interference. Many solutions to this problem have been proposed in literature by estimating and suppressing CFO. This paper briefly discusses important CFO suppression techniques including Feedback Method, Inverse Pilot Matrix Method and Linear Parallel Interference Cancellation. The effect of CFO on these systems has been discussed and algorithms behind these techniques have also been explained. The review of CFO suppression and estimation algorithm is useful to select particular technique according to system requirements for improving overall performance. |
| Starting Page | 317 |
| Ending Page | 329 |
| Page Count | 13 |
| File Format | |
| ISSN | 09296212 |
| Journal | Wireless Personal Communications |
| Volume Number | 95 |
| Issue Number | 2 |
| e-ISSN | 1572834X |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-11-22 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Carrier Frequency Offset SC-FDMA CFO estimation CFO compensation Long Term Evolution Communications Engineering, Networks Signal,Image and Speech Processing Computer Communication Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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