Synchronization Sequence Design for FBMC/OQAM Systems

Wonsuk Chung, Chanhong Kim, Sooyong Choi, Daesik Hong

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

In this paper, we propose a new sequence generation methodology to make a constant amplitude zero autocorrelation (CAZAC) preamble available in offset Quadrature Amplitude Modulation-based filter bank multicarrier (FBMC) synchronization. The role of the new sequence is to compensate the filtering and symbol overlap of the FBMC structure so as to finally be able to make a CAZAC preamble in time domain. To derive the new sequence, we formulate a symbol overlap model that shows the relation between the new sequence and a CAZAC preamble. On the other hand, the offset modulation format is a constraint that needs to be considered in the design of the new sequence. By using a property of this offset modulation constraint, we derive a closed-form expression of the new sequence from the symbol overlap model. In addition, we extend an advanced model to create a pseudo-CAZAC preamble that is not data-dependent, thus enabling convenience of implementation. Simulation results show the superiority of the proposed model with respect to synchronization accuracy, out-of-band radiation, and peak to average power ratio. Moreover, we verify that the proposed model is well-suited for use in the cellular environment through complexity and resource efficiency comparisons.

Original languageEnglish
Article number7536640
Pages (from-to)7199-7211
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume15
Issue number10
DOIs
Publication statusPublished - 2016 Oct

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government under grant NRF-2015R1A2A1A01006162, in part by Institute for the Information & communications Technology Promotion (IITP) grant funded by the Korea government (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 B0717-16-0024, and in part by the Next Generation Communications Business Team, Samsung Electronics Co., Ltd., Korea.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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