TY - JOUR
T1 - Heuristic and Statistical Power Estimation Model for FPGA Based Wireless Systems
AU - Verma, Gaurav
AU - Singhal, Tarun
AU - Kumar, Rahul
AU - Chauhan, Shivam
AU - Shekhar, Sushant
AU - Pandey, Bishwajeet
AU - Hussain, Dil muhammed Akbar
PY - 2019
Y1 - 2019
N2 - As the technology is advancing day by day, the need of high performance devices is also increasing. High performance is achieved at the expense of high power dissipation. Nowadays, field programmable gate arrays (FPGAs) are widely used in wireless communication systems due to their low non-recurring cost and high operating speed. There are many high performance applications (i.e., image processing, digital signal processing, wireless transceivers etc.) in which FPGAs are widely used. However, their complex architectures lead to high power consumption. Estimation of power in the early stage of the design flow would help designers to design the systems as per specified power budget. Therefore, two different approaches for power estimation are proposed in this paper. First is the heuristic approach based on back propagation neural network and second is the regression based statistical approach. It is observed that heuristic approach is better as compared regression in terms of power estimation of most of the digital circuits considered in this work.
AB - As the technology is advancing day by day, the need of high performance devices is also increasing. High performance is achieved at the expense of high power dissipation. Nowadays, field programmable gate arrays (FPGAs) are widely used in wireless communication systems due to their low non-recurring cost and high operating speed. There are many high performance applications (i.e., image processing, digital signal processing, wireless transceivers etc.) in which FPGAs are widely used. However, their complex architectures lead to high power consumption. Estimation of power in the early stage of the design flow would help designers to design the systems as per specified power budget. Therefore, two different approaches for power estimation are proposed in this paper. First is the heuristic approach based on back propagation neural network and second is the regression based statistical approach. It is observed that heuristic approach is better as compared regression in terms of power estimation of most of the digital circuits considered in this work.
KW - Regression
KW - VHDL
KW - MATLAB
KW - Xpower analyser (XPA)
KW - Heuristic
U2 - 10.1007/s11277-018-5927-7
DO - 10.1007/s11277-018-5927-7
M3 - Journal article
SN - 0929-6212
VL - 106
SP - 2087
EP - 2098
JO - Wireless Personal Communications
JF - Wireless Personal Communications
IS - 4
ER -