Name
Abstract | ||
|---|---|---|
High out-of-band (OOB) power emission has become the main shortcoming of multicarrier scheme in regard to the requirements and challenges of 5G. In this paper, two effective OOB power reduction methods, previously applied to traditional orthogonal frequency division multiplexing (OFDM) system, are proposed in hybrid carrier (HC) scheme based on weighted-type fractional Fourier transform (WFRFT). Simulation results demonstrate that, due to the flexible selection of WFRFT order in the HC system, combined bit error rate (BER) and peak-to-average power ratio (PAPR) performance advantages are gained without sidelobe impact and significant complexity increase in comparison with the OFDM scheme with spectrum precoding. In projection precoding, a smaller error vector magnitude of precoder G χ is obtained in the proposed hybrid carrier scheme. In SVD precoding with an orthogonal decoding at the receiver, better BER performance could also be acquired at WFRFT order over the fading channels. The proposed two WFRFT-based structures are complementary, and their potential scenarios are given. In addition, applying the feature of projection precoding to channel estimation, a novel pilot structure based on WFRFT is posed to reduce the introduced error of spectrum precoding and finally helps to improve the BER performance. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13638-017-0890-7 | EURASIP J. Wireless Comm. and Networking |
Keywords | Field | DocType |
Hybrid carrier (HC),Weighted-type fractional Fourier transform (WFRFT),Spectrum precoding,Out-of-band (OOB) power,Channel estimation | Singular value decomposition,Telecommunications,Fading,Computer science,Communication channel,Algorithm,Real-time computing,Decoding methods,Fractional Fourier transform,Orthogonal frequency-division multiplexing,Precoding,Bit error rate | Journal |
Volume | Issue | ISSN |
2017 | 1 | 1687-1499 |
Citations | PageRank | References |
1 | 0.35 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenduo Wang | 1 | 12 | 5.01 |
| Lin Mei | 2 | 184 | 16.16 |
| Xiaolu Wang | 3 | 7 | 4.22 |
| Xuejun Sha | 4 | 132 | 27.51 |
| Naitong Zhang | 5 | 341 | 45.04 |