An Enabling Waveform for 5G - QAM-FBMC: Initial Analysis
Autor: | Mohammed Al-Imari, Yinan Qi |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Orthogonal frequency-division multiplexing Computer science Information Theory (cs.IT) Computer Science - Information Theory 05 social sciences Equalization (audio) 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Spectral efficiency QAM 0508 media and communications Transmission (telecommunications) Modulation Phase noise 0202 electrical engineering electronic engineering information engineering Electronic engineering FOS: Electrical engineering electronic engineering information engineering Waveform Electrical Engineering and Systems Science - Signal Processing |
Zdroj: | 2016 IEEE Conference on Standards for Communications and Networking (CSCN) CSCN |
Popis: | In this paper, we identified the challenges and requirements for the waveform design of the fifth generation mobile communication networks (5G) and compared Orthogonal frequency-division multiplexing (OFDM) based waveforms with Filter Bank Multicarrier (FBMC) based ones. Recently it has been shown that Quadrature-Amplitude Modulation (QAM) transmission and reception can be enabled in FBMC by using multiple prototype filters, resulting in a new waveform: QAM-FBMC. Here, the transceiver architecture and signal model of QAM-FBMC are presented and channel estimation error and RF impairment, e.g., phase noise, are modeled. In addition, initial evaluation is made in terms of out-of-band (OOB) emission and complexity. The simulation results show that QAM-FBCM can achieve the same BER performance as cyclic-prefix (CP) OFDM without spectrum efficiency reduction due to the adding of CP. Different equalization schemes are evaluated and the effect of channel estimation error is investigated. Moreover, effects of the phase noise are evaluated and QAM-FBMC is shown to be robust to the phase noise. 6 pages, 9 figures, CSCN 2016 |
Databáze: | OpenAIRE |
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