As an approach to reduce the computational complexity of Filtered-Orthogonal Frequency Division Multiplexing (F-OFDM), we removed restrictions on filter lengths in F-OFDM and then applied linear pre- and post-processing for a transmitter and receiver using the singular value decomposition (SVD) method in order to solve the data distortion caused by the use of filter lengths much shorter than the symbol duration. This new F-OFDM has been given the designation SVD-based F-OFDM (SF-OFDM). Numerical results show that SF-OFDM has much lower complexity than F-OFDM, especially when transmitting small numbers of resource blocks. SF-OFDM also has nearly the same bit error rate performance as conventional F-OFDM. Moreover, SF-OFDM retains a much lower out-of-band emission than cyclic prefix (CP)-OFDM, while at the same time having a similar level of peak to average power ratio compared to CP-OFDM.
Bibliographical noteFunding Information:
Manuscript received March 7, 2019; revised August 24, 2019; accepted November 3, 2019. Date of publication November 21, 2019; date of current version February 11, 2020. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) under Grant 2018R1A2A1A05021029 and in part by the Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korea Government (MSIT) (Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) under Grant 2016-0-00181-004. The associate editor coordinating the review of this article and approving it for publication was Y. Xin. (Corresponding author: Daesik Hong.) H. Kim, J. Kim, and D. Hong are with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03772, South Korea (e-mail: email@example.com; firstname.lastname@example.org; email@example.com).
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics