Open AccessA novel method for joint- PAPR mitigation in OFDM-based massive MIMO downlink systems
Author(s) -
Vijaya Kumar Padarti,
Venkateswara Rao Nandanavanam
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.13009
Subject(s) - telecommunications link , reduction (mathematics) , mimo , computer science , mimo ofdm , orthogonal frequency division multiplexing , joint (building) , convex optimization , electronic engineering , control theory (sociology) , regular polygon , telecommunications , mathematics , engineering , artificial intelligence , beamforming , architectural engineering , channel (broadcasting) , geometry , control (management)
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.