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Field Programmable Gate Arrays (FPGA) Based Computational Complexity Analysis of Multicarrier Waveforms

C. Ajitha1,*, T. Jaya2

1 Department of ECE, University College of Engineering, Nagercoil, Tamilnadu, 629004, India
2 Department of ECE, CSI Institute of Technology, Thovalai, Tamilnadu, 629302, India

* Corresponding Author: C. Ajitha. Email: email

Intelligent Automation & Soft Computing 2022, 34(2), 1033-1048.


Multicarrier waveforms with enhanced spectral efficiency, low latency, and high throughput are required for 5G wireless networks. The Orthogonal Frequency Division Multiplexing (OFDM) method is well-known in research, but due to its limited spectral efficiency, various alternative waveforms are being considered for 5G systems. In the recent communication world, NOMA (non-orthogonal multiple access) plays a significant part due to its wider transmission of data with less bandwidth allocation. Even if a high data rate can be attained, the transmission problem will arise due to the spread of multiple paths. In order to reduce complexity and area utilization, a novel PL-based FWFT (Fast walsh hadamard fourier transform) technique is proposed and implemented in the VLSI architecture. To achieve a high-performance system, the main concept of pass transistor logic (PL) with VLSI implementation is to diminish the size and power consumption. Finally, the performance of the proposed FWFT/ IFWFT implementation has been evaluated. For FPGA’s 16-point FWFT, the number of transistors decreased by 21% and the total power required was reduced by 5.5%. The same implementation for 34 transistor-pass-logic customs and power consumption is 2.764 mW with a latency of 78.256 ns. As a consequence, the proposed system achieves low power, area and low complexity system that can enhance the function of the multicarrier waveform systems.


Cite This Article

C. Ajitha and T. Jaya, "Field programmable gate arrays (fpga) based computational complexity analysis of multicarrier waveforms," Intelligent Automation & Soft Computing, vol. 34, no.2, pp. 1033–1048, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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