Performance Optimization of Peak to Average Power Ratio in FBMC Waveforms

RITESH BARANWAL; Brij Bihari Tiwari

Performance Optimization of Peak to Average Power Ratio in FBMC Waveforms

RITESH BARANWAL, Brij Bihari Tiwari

Abstract

High spectral efficiency and low computational complexity are the requirements of 5G wireless communication systems. They must also offer low PAPR (peak to average power ratio), low latency, and high throughput. In 5G it is not possible to realise all of these requirements through a single technique. One of the efforts is to look for a suitable technique for 5G. So, a suitable technique emerges whose name is Filter Bank Multicarrier (FBMC). But it has a high complexity, high Peak to Average Power (PAPR) and high out of band (OOB) leakage which results in inter-carrier interference and inter-channel interference. Also, due to high PAPR, mobile batteries are depleted more rapidly. So, a PAPR reduced method is needed. In this paper, a method of Pruned DFT Precoded FBMC to optimize the PAPR for different number of subcarriers. The performance evaluation in terms of bit error rate (BER) and spectral efficiency of OFDM, FBMC and Pruned DFT Precoded FBMC has been done in this paper. In DFT Precoded FBMC, a DFT spreading matrix is multiplied with FBMC waveform and transmit only some part especially half of the DFT precoded matrix and rest remain zero by us. Monte Carlo simulation with one tap equalizer is used to validate our results.

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References

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