Robust timing synchronization for full duplex communications: Design and implementation
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Abstract
This paper presents a robust timing synchronization method for full duplex orthogonal frequency division multiplexing (OFDM) systems based on Long Term Evolution (LTE). The proposed method contains two essential steps: 1) time alignment between the desired signal and self-interference 2) normalized synchronization peak (NSP) index switching. The time alignment is to make the difference in arrival times of the desired signal and the self-interference signal within cyclic prefix (CP) duration of an OFDM symbol, exploiting a time advance, thereby adopting low-complexity, frequency domain self-interference cancellation and decoding. In the second step, to improve the probability of successful time synchronization, a Zadoff-Chu sequence with a different root index is used for the primary synchronization signal at each node. To validate the proposed method with experimental evidence, we implement a full duplex physical layer (PHY) on an FPGA-based software-defined radio (SDR) platform. It is shown that our full duplex OFDM synchronizer is flexible and robust, in a real-world wireless channel, compared to existing synchronization method.
Details
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Research areas and keywords | Subject classification (UKÄ) – MANDATORY
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Original language | English |
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Title of host publication | 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 883-887 |
Number of pages | 5 |
Volume | 2018-January |
ISBN (Electronic) | 9781509059904 |
Publication status | Published - 2018 Mar 7 |
Publication category | Research |
Peer-reviewed | Yes |
Event | 5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Montreal, Canada Duration: 2017 Nov 14 → 2017 Nov 16 |
Conference
Conference | 5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 |
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Country | Canada |
City | Montreal |
Period | 2017/11/14 → 2017/11/16 |