Fast Convolution Based Complexity Reduction in Universal Filtered Multi-Carrier Systems

Abstract

The Universal Filtered Multi-Carrier (UFMC) is a derivative of the Orthogonal Frequency Division Multiplexing (OFDM) scheme. It is considered as a candidate waveform for 5G. The considerably high computational complexity restricts the usage of UFMC based systems. This complexity is caused by the filtration process in the system. Since the flexible and efficient use of non-continuous unused spectrum for different network deployment strategies is important in the next generation communication, the selection of UFMC is inevitable because of its improved performance over OFDM and the Filter Bank Multi-Carrier (FBMC) systems. Hence, it is essential to reduce the complexity of a UFMC system. In this paper, we propose a Fast Convolution (FC) based UFMC system. The technique makes use of smaller FFTs and overlapped data frames. The proposed FC-UFMC system achieves a computation minimisation higher than 95% for systems having 64 or more fully utilised sub-channels compared to similar UFMC systems. The Peak to Average Power Ratio (PAPR) for the FC-UFMC system has a 2.27 dB improvement over the UFMC system. The BER performance of the FC-UFMC system in AWGN and ITU-R channels models are superior or similar to the corresponding UFMC system. The paper also presents the relationship of BER dependence on Signal to Noise Ratio (SNR) and Side Lobe Attenuation (SLA) of the sub-band filter.

KEYWORDS:

• FBMC
• OFDM
• ITU-R
• UFMC
• Fast convolution
• Multi-carrier Systems

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Job Chunkath

Job Chunkath graduated from Government Engineering College, Thrissur,(University of Calicut) with BTech degree in electronics & communication engineering in 1992. He received the MTech degree in communication engineering from the National Institute of Technology, Karnataka, in 2008.

Presently, he is working as an assistant professor in the Department of Applied Electronics & Instrumentation Engineering at Government Engineering College, Kozhikode, India. His research interests include filter bank based multicarrier modulation, digital communication, error control coding, and signal processing. He is a Senior Member of IEEE and an IETE Fellow.

V.S. Sheeba

V S Sheeba received BTech degree in electronics & communication engineering from the College of Engineering Trivandrum, (University of Kerala) in 1987, and MTech degree in integrated electronic circuits and systems from IIT Madras in 1994. She received her PhD from NIT Calicut in 2007.

She was the head of Department of Electronics & Communication Engineering at Government Engineering College, Thrissur, from 2011–2013. During her professional career, she had worked as the principal of Government Engineering College Kozhikode and Thrissur, respectively. Her research interests include digital signal processing, image processing, and filter bank based multicarrier modulation. Email: [email protected]

Ponnu P. Paul

Ponnu P Paul received BTech degree in electronics & communication engineering from the Government Engineering College, Idukki (Mahatma Gandhi University) in 2015, and MTech degree in communication engineering & signal processing from Government Engineering College, Thrissur, (APJ Abdul Kalam Technological University) in 2017. Email: [email protected]