In this paper, we propose a linearly processed filter-bank multicarrier (LP-FBMC) system which employs faster than Nyquist signaling to remove residual intrinsic interferences. We represent the FBMC transceiver in a matrix form and then apply singular value decomposition-based linear transformation in order to convert the overlapped FBMC data into parallel independent interference-free data. This interference-free characteristic of the proposed LP-FBMC system enables the use of conventional multiple antenna configurations. Performance evaluations show that out-of-band emission performance of the proposed LP-FBMC system is superior to those of conventional quadrature amplitude-based FBMC (FBMC-QAM) and orthogonal frequency division multiplexing systems. Furthermore, the proposed LP-FBMC system outperforms the conventional FBMC-QAM in terms of bit error rate performance when high order modulation is employed under time-varying channel and multiuser uplink environment.
Bibliographical noteFunding Information:
Manuscript received November 18, 2017; revised February 24, 2018; accepted April 22, 2018. Date of publication May 16, 2018; date of current version July 10, 2018. This work was supported in part by the National Research Foundation of Korea (NRF) through the Korea Government (MSIT) under Grant NRF-2018R1A2A1A05021029 and in part by the Institute for Information and Communications Technology Promotion through the Korea Government–Ministry of Science, ICT and Future Planning (MSIP) (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. The associate editor coordinating the review of this paper and approving it for publication was L. Lai. (Corresponding author: Daesik Hong.) J. Kim, S. Weon, J. Jeong, S. Choi, and D. Hong are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: firstname.lastname@example.org; email@example.com; firstname.lastname@example.org; email@example.com; firstname.lastname@example.org).
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics