| Autor: |
Lahcen, Amhaimar, Ali, Elyaakoubi, Mustapha, El Halaoui, Mohamed, Bayjja, El Harrak Hajri, M., Saida, Ahyoud |
| Předmět: |
|
| Zdroj: |
International Journal of Microwave & Optical Technology; Mar2019, Vol. 14 Issue 2, p116-123, 8p |
| Abstrakt: |
Multiple-Input Multiple Output (MIMO) with Orthogonal Frequency Division Multiplexing (OFDM) combination is one of the best choices, which has been receiving a great deal of attention as a solution to achieve significant advancement for high data rate transmission in wireless communication systems. However, one of the major drawbacks of multicarrier modulation like OFDM, is the high peak-to-average power ratio (PAPR) of the transmitted signal, which seriously limits power efficiency of High Power Amplifier (HPA), generates more interference and reduces the resolution of nonlinear components. As one of the efficient ways used to solve the PAPR problem for OFDM systems is Partial Transmit Sequence (PTS); but the main drawback of PTS technique is the high computational complexity to search the set of optimum phase factors to reduce the PAPR. Therefore, this paper proposed the use of a new swarm intelligence algorithm called Enhanced Fireworks algorithm, to reduce the PAPR with minimum search complexity. Simulation results indicate that the new proposed approach (EFWAPTS) yields an effective PAPR reduction performance in MIMO-OFDM and able to achieve a powerful optimization research with low complexity phase weighting process implementation. Moreover, it turns out from the results that the new scheme (EFWA-PTS), performs very well and clearly outperforms the conventional optimization algorithms. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
