Performance of turbo coded FBMC based MIMO systems

Mathews, Luxy; Pillai, Sakuntala S.

doi:10.1109/iccic.2016.7919624

Cited by 3 publications

(1 citation statement)

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“…In [7] performance of turbo coded Orthogonal Frequency Division Multiplexing (OFDM) and FBMC systems are investigated in the presence of phase noise. In [8], turbo coded MIMO-FBMC system is proposed and compared with turbo coded MIMO-OFDM system. In [9], the BER performance of turbo coded and uncoded massive MIMO-FBMC system is compared with turbo coded and uncoded massive MIMO-OFDM system in an underwater acoustic channel.…”

Section: Introductionmentioning

confidence: 99%

PAPR and BER analysis of coded FBMC-OQAM system with non-linear companding techniques

Mobin

Ahmad

2022

Eng. Res. Express

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Filter Bank Multicarrier with offset QAM (OQAM) is a suitable multicarrier waveform technique for 5G and future wireless networks and standards. Being a multicarrier technique, it suffers from high peak-to-average-power ratio (PAPR) problem. In this paper we have used some non-linear companding transforms such as μ-law, A-law, rooting, tangent rooting, and logarithmic rooting to overcome the PAPR problem. Since non-linear companding techniques degrade bit-error-rate (BER) performance of a system. Hence, some channel coding techniques such as convolutional codes and turbo codes are employed to enhance the BER performance of non-linearly companded FBMC-OQAM system. It was observed that the combination of convolutional coding with logarithmic rooting companding provides PAPR reduction gain of about 4.896 dB and coding gain of about 2 dB as compared to conventional FBMC-OQAM system and is an appropriate choice for applications requiring reduced system complexity. It was observed that the combination of turbo coding with logarithmic rooting companding provides PAPR reduction gain of about 4.922 dB and a sufficiently high coding gain of about 7 dB as compared to conventional FBMC-OQAM system and is suitable for applications requiring improved data reliability at the expense of increased system complexity and latency.

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Section: Introductionmentioning

confidence: 99%