Wavelet-Coded OFDM for Next Generation Mobile Communications

Lucas Costa Pereira Cavalcante, Juan José Vegas Olmos, Idelfonso Tafur Monroy, Rui Dinis, Luiz G. de Q Silveira, Luiz F. de Q Silveira

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


In this work, we evaluate the performance of Wavelet-Coding into offering robustness for OFDM signals against the combined effects of varying fading and noise bursts. Wavelet-Code enables high diversity gains with a low complex receiver, and, most notably, without compromising the system’s spectral efficiency. The results show that the Wavelet-Coded OFDM system achieves a BER of 10−3 with nearly 6 dB less SNR than the convolutional coded OFDM system in frequency selective channels with a normalized channel response variation rate of ζ = 10−4.The proposed system fits as a key enabler for the use of mm-wave frequencies in future generation mobile communication due to its robustness against multipath fading.
Original languageEnglish
Title of host publicationProceedings of 2016 Ieee 84th Vehicular Technology Conference
Number of pages4
Publication date2016
ISBN (Print)978-1-5090-1701-0/
Publication statusPublished - 2016
Event2016 IEEE 84th Vehicular Technology Conference - Montreal, Canada
Duration: 18 Sep 201621 Sep 2016


Conference2016 IEEE 84th Vehicular Technology Conference
Series2016 Ieee 84th Vehicular Technology Conference (vtc-fall). Proceedings


  • fading channels
  • mobile radio
  • multipath channels
  • next generation networks
  • OFDM modulation
  • wavelet transforms
  • wavelet-coding
  • noise bursts
  • diversity gains
  • spectral efficiency
  • wavelet-coded OFDM system
  • frequency selective channels
  • normalized channel response variation rate
  • mm-wave frequencies
  • future generation mobile communication
  • multipath fading
  • next generation mobile communications
  • OFDM
  • Fading channels
  • Receivers
  • Signal to noise ratio
  • Convolutional codes
  • Time-frequency analysis
  • Decoding
  • Mobile radio systems
  • Modulation and coding methods
  • Integral transforms


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