Abstract

Spectral precoding is a popular approach to reduce out-of-band radiation (OBR) in multicarrier systems in order to avoid adjacent channel interference. However, it introduces distortion in the data, appropriate decoding is required at the receiver side. Thus, trading off between implementation complexity, OBR reduction and error rate is important. We present a novel linear precoder design with flexibility to trade off OBR reduction, precoding/decoding complexity, and error rate at the receiver. Moreover, the constraint can be imposed on each subcarrier individually to provide more flexibility. The precoding matrices have low rank, which translates into significant computational savings. In this way, the requirements of different systems can be satisfied with varying complexity levels.

Highlights

  • Orthogonal frequency division multiplexing (OFDM) is a mature technology with significant advantages: it is spectrally efficient, robust against multipath effects, and well matched to multiple input multiple output (MIMO) implementation

  • We present a novel linear precoder design with flexibility to trade off of-band radiation (OBR) reduction, precoding/decoding complexity, and error rate at the receiver

  • Power spectral density (PSD) and symbol error rate (SER) are the performance metrics used for comparison

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Summary

Introduction

Orthogonal frequency division multiplexing (OFDM) is a mature technology with significant advantages: it is spectrally efficient, robust against multipath effects, and well matched to multiple input multiple output (MIMO) implementation. Subcarrier weighting [2] and adaptive symbol transition techniques are data dependent, i.e., they require solving an optimization problem for each OFDM symbol. These methods suffer from high complexity at both transmitter and receiver, where the precoding and decoding operations are respectively implemented.

Results
Conclusion

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