Antti Arvola, University of Oulu, Finland - Communication systems
Date: November 24th 2015 Location: Eurecom - Eurecom
Title : PAPR Aware Bit and Power Loading for Point-to-Point MIMO-OFDM Systems Abstract : We consider a PAPR aware bit and power loading algorithm for a point-to-point system utilizing multiple-input multiple-output (MIMO) transmission and orthogonal frequency division multiplexing (OFDM) modulation. The proposed algorithm finds a solution to a multi-objective optimization of maximizing the system sum-rate and simultaneously minimizing the peak-to-average power ratio (PAPR) prevalent in OFDM systems. This is done by greedily allocating extra bits, similar to the popular Hughes-Hartogs algorithm, while taking the PAPR of the transmitted signal into account. We derive the algorithm first for the single-input single-output (SISO) case and extend it to include multiple antennas at both transmitter and receiver. The numerical results reveal a tradeoff between sumrate maximization and PAPR minimization and we find that by trading a small amount of spectral efficiency (SE), the PAPR of the transmitted signal can be significantly decreased. Bio : Antti Arvola received his M.Sc. (Tech.) degree in electrical engineering from the University of Oulu, Oulu, Finland, in 2015. He worked as a research assistant at the Department of Communication Engineering (DCE) and Centre for Wireless Communications (CWC) at the University of Oulu during the making of his Master’s Thesis. He began studying for his doctoral degree in the early summer of 2015 and his research is focused on reduced complexity beamforming strategies in massive MIMO systems with emphasis on downlink multi-cell multi-user systems. His research interests also include PAPR reduction in multi-antenna OFDM systems.