PAPR Reduction in MIMO-OFDM via Power Efficient Transmit Waveform Shaping

In this paper we revisit the long standing problem of peak-to-average power ratio minimization in MIMO-OFDM systems, with a new angle approach on well-known scheme. Utilizing principles tone reservation, place dummy symbols, i.e., complex coefficients, unused space-frequency resources aim to jointly minimize transmit signal PAPR and self-power consumption symbols. This joint is solved using three different proposed algorithms exhibiting varying degrees computational complexity reduction performance. Our framework utilizes strict expression, take into account average antenna, simultaneously reduce all antennas while keeping scheme minimal. simulation results show that optimization objective provides better worst-case symbol performance compared peak widely utilized reservation literature. Finally, propose novel block-diagonalization algorithm by exploiting knowledge allocations, resulting high-gain data streams downlink transmission.