A novel method for joint- PAPR mitigation in OFDM-based massive MIMO downlink systems

Abstract

Massive MIMO has gained much attention with the increase in the high speed data communication. The problem of peak-to-average power ratio (PAPR) is considered, the detrimental aspects in OFDM based massive multiple-input multiple-output (MIMO) downlink systems. The previous works done in reduction of PAPR problem using convex optimization are computationally inefficient. We considered Bayesian approach to mitigate PAPR by utilizing the redundant degrees of freedom (DOF) of the transmit array, which effectively reduced the level of PAPR. The performance or numerical results indicate the applied algorithm achieved a good improvement over the existing techniques in terms of the PAPR reduction.

An improved ASOICF algorithm for PAPR reduction in OFDM systems

“…The major drawback with this method is peak re-expansion [21], which is capable of increasing the power level of symbols. In authors [22] presented, ICF uses more iterations and system resources to achieve the desired PAPR level [23,24]. So ICF technique consumes more iteration to approach a specified PAPR threshold value.…”