Energy Efficient, Scalable, and Dynamically Reconfigurable FFT Architecture for OFDM Systems

FFT is the most compute intensive operation that critically affects the OFDM system performance. In order to support the various OFDM standards, a scalable and reconfigurable FFT architecture is necessary. This paper presents an energy efficient and scalable FFT architecture, which can be dynamically reconfigured to adapt to specifications of different standards. The proposed architecture is based on Radix-43 algorithm and uses a parallel-pipelined unrolled architecture. The proposed architecture can be scaled to support FFTs of sizes up to 64K points. As a proof of concept, FFT architecture for computation of FFTs of sizes 64 to 4K point has been implemented in UMC 65nm 1P10M CMOS process with a maximum clock frequency of 125 MHz and area of 1.05mm2. The power consumption at 40 MHz is 33.5mW for the computation of 4K point FFT. Energy efficiency (FFTs per unit of energy) of the proposed architecture is 1176 for 1K point, 584 for 2K point and 291 for 4K point FFTs at 40 MHz. The proposed architecture shows better performance in terms of scalability and energy efficiency when compared to existing implementations.

[1]  S. K. Nandy,et al.  High throughput, low latency, memory optimized 64K point FFT architecture using novel radix-4 butterfly unit , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[2]  Chen-Yi Lee,et al.  A dynamic scaling FFT processor for DVB-T applications , 2004 .

[3]  Chen-Yi Lee,et al.  Design of an FFT/IFFT Processor for MIMO OFDM Systems , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Jari Nurmi,et al.  A scalable FFT processor architecture for OFDM based communication systems , 2013, 2013 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS).

[5]  Shuenn-Shyang Wang,et al.  An Area-Efficient Design of Variable-Length Fast Fourier Transform Processor , 2008, J. Signal Process. Syst..

[6]  Shang-Ho Tsai,et al.  MDC FFT/IFFT Processor With Variable Length for MIMO-OFDM Systems , 2013, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[7]  Song-Nien Tang,et al.  An Area- and Energy-Efficient Multimode FFT Processor for WPAN/WLAN/WMAN Systems , 2012, IEEE Journal of Solid-State Circuits.

[8]  A.N. Willson,et al.  A power-scalable reconfigurable FFT/IFFT IC based on a multi-processor ring , 2006, IEEE Journal of Solid-State Circuits.

[9]  S. K. Nandy,et al.  Design of a low power 64 point FFT architecture for WLAN applications , 2013, 2013 25th International Conference on Microelectronics (ICM).

[10]  An-Yeu Wu,et al.  Implementation of a programmable 64/spl sim/2048-point FFT/IFFT processor for OFDM-based communication systems , 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

[11]  Karthikeyan Sankaralingam,et al.  Dark Silicon and the End of Multicore Scaling , 2012, IEEE Micro.

[12]  Dionysios I. Reisis,et al.  Fully Systolic FFT Architecture for Giga-sample Applications , 2010, J. Signal Process. Syst..