Self-coherent OFDM with undersampling downconversion for wireless communications

Qianyu Jin, Yi Hong

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)


In this paper, we introduce self-coherent orthogonal frequency-division multiplexing (OFDM), a well-known non-coherent technique in optical communications, for wireless radio frequency communications. Self-coherent OFDM provides complete immunity against phase noise (PN) using a non-coherent receiver and a significantly higher spectral efficiency than self-heterodyne (self-het) OFDM, which utilizes at most 50% of the available spectrum for communications. We present the performance analysis of self-coherent OFDM over additive white Gaussian noise and frequency selective fading channels, and show by simulations that self-coherent OFDM provides both higher spectral efficiency and better bit error rate performance than self-het OFDM. Considering that filter realization in high-frequency bands is challenging, we adopt the undersampling downconversion technique in conjunction with self-coherent OFDM. We show that with the self-coherent demodulation, the additional PN introduced by undersampling downconversion can be significantly reduced. We compare analytically the system performance of self-coherent OFDM using undersampling downconversion with two other conventional OFDM systems: one with super-heterodyne receiver and the other with undersampling downconversion. We show theoretically and by simulations that both in AWGN and frequency selective fading channels, self-coherent OFDM with undersampling downconversion outperforms the two conventional OFDM systems even when intercarrier interference compensation schemes are applied.
Original languageEnglish
Article number7523204
Pages (from-to)6979-6991
Number of pages13
JournalIEEE Transactions on Wireless Communications
Issue number10
Publication statusPublished - 1 Oct 2016


  • Non-coherent
  • OFDM
  • self-coherent
  • phase noise
  • multipath fading
  • low-complexity receivers
  • undersampling down-conversion

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