Efficient Quadratic Programming for Peak-to-Average Power Ratio Reduction in Communication Systems


In this paper, we propose an enhanced peak-toaverage power ratio (PAPR) reduction framework for MIMO OFDM system based on unimodular quadratic programming (UQP). In addition, we consider a more general setting for PAPR reduction problem in MIMO-OFDM systems and propose a novel power method-like algorithm to effectively tackle the associated UQP. The proposed method can handle arbitrary peak-to-average-power ratio (PAPR) constraints on the transmit sequence, and more importantly, can be used to generate constant modulus signals for such systems. The proposed algorithm demonstrates an improvement in terms of convergence rate compared with the state-of-the-art PAPR reduction method.