2 research outputs found
Clipping Noise Cancellation for OFDM and OFDMA Systems Using Compressed Sensing
In this paper, we propose clipping noise cancellation scheme using compressed
sensing (CS) for orthogonal frequency division multiplexing (OFDM) systems. In
the proposed scheme, only the data tones with high reliability are exploited in
reconstructing the clipping noise instead of the whole data tones. For
reconstructing the clipping noise using a fraction of the data tones at the
receiver, the CS technique is applied. The proposed scheme is also applicable
to interleaved orthogonal frequency division multiple access (OFDMA) systems
due to the decomposition of fast Fourier transform (FFT) structure. Numerical
analysis shows that the proposed scheme performs well for clipping noise
cancellation of both OFDM and OFDMA systems.Comment: This work has been submitted to the IEEE for possible publication.
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The PAPR Problem in OFDM Transmission: New Directions for a Long-Lasting Problem
Peak power control for multicarrier communications has been a long-lasting
problem in signal processing and communications. However, industry and academia
are confronted with new challenges regarding energy efficient system design.
Particularly, the envisioned boost in network energy efficiency (e.g. at least
by a factor of 1000 in the Green Touch consortium) will tighten the
requirements on component level so that the efficiency gap with respect to
single-carrier transmission must considerably diminish. This paper reflects
these challenges together with a unified framework and new directions in this
field. The combination of large deviation theory, de-randomization and selected
elements of Banach space geometry will offer a novel approach and will provide
ideas and concepts for researchers with a background in industry as well as
those from academia.Comment: Accepted for publication in IEEE Signal Processing Magazin