Adaptive Resource Scheduling for Energy Efficient QRD Processor with DVFS

Summary, in English

This paper presents an energy efficient adaptive QR decomposition scheme for Long Term Evolution Advance (LTE-A) downlink system. The proposed scheme provides a performance robustness to fluctuating wireless channels while

maintaining lower workload on a reconfigurable hardware. A statistic based algorithm-switching strategy is employed in the scheme to achieve workload reduction and stable computing resource requirement for QR decomposition. With run time resource allocation, computing resources are assigned to highest performance gain segments to reduce performance loss. By utilizing the dynamic voltage and frequency scaling (DVFS) technique, we further exploit the potential of power saving in various workload situation while maintaining fixed throughput. The proposed technique brings power reduction upto 57.8% in EVA-5 scenario and 24.4% with a maximum SNR loss of 1 dB in

EVA-70 scenario, when mapped on a coarse grain reconfigurable vector-based platform.

• Author: Yangxurui Liu; Hemanth Prabhu; Liang Liu; Viktor Öwall
• Department/s: Department of Electrical and Information Technology; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
• Publishing year: 2015
• Language: English
• Full text: - 610 kB; Download statistics
• Links: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7345022
• Document type: Conference paper
• Topic: Electrical Engineering, Electronic Engineering, Information Engineering
• Keywords: —QR decomposition; multiple-input multiple-output (MIMO); dynamic voltage and frequency scaling (DVFS)
• Conference name: 2015 IEEE Workshop on Signal Processing Systems
• Conference date: 2015-10-14 - 2015-10-16
• Conference place: Hangzhou, China
• Status: Published