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GFDM - Generalized Frequency Division Multiplexing

Fettweis, Gerhard, Krondorf, Marco, Bittner, Steffen·2009·VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

Abstract

This paper presents the GFDM system, a generalized digital multi-carrier transceiver concept. GFDM is based on traditional filter bank multi-branch multi- carrier concepts which are now implemented digitally. Our GFDM approach exhibits some attractive features which are of particular importance for scenarios exhibiting high degrees of spectrum fragmentation. Spectrum fragmentation is a typical technical challenge of digital dividend use cases, exploiting spectrum white spaces in the TV UHF bands which are located in close proximity to allocated spectrum. Specifically, the GFDM features are a lower PAPR compared to OFDM, a ultra-low out-of- band radiation due adjustable Tx-filtering and last but not least a block-based transmission using cyclic prefix insertion and efficient FFT-based equalization. GFDM enables frequency and time domain multi-user scheduling comparable to OFDM and provides an efficient alternative for white space aggregation even in heavily fragmented spectrum regions.

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Metadata

Authors
Fettweis, G., Krondorf, M., & Bittner, S.
Venue
VTC Spring 2009 - IEEE 69th Vehicular Technology Conference
Publisher
IEEE
Published
2009-04
Pages
1-4
ISSN
1090-3038 (ISSN-L)
OpenAlex
W2113784761
Cited by
561
References
1
FWCI
6.24
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: GFDM - Generalized Frequency Division Multiplexing. https://app.cochat.ai/papers/10.1109/vetecs.2009.5073571
The paper
Fettweis, G., Krondorf, M., & Bittner, S. (2009). GFDM - Generalized Frequency Division Multiplexing. VTC Spring 2009 - IEEE 69th Vehicular Technology Conference. https://doi.org/10.1109/vetecs.2009.5073571

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.