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Wireless multicarrier communications
Abstract
Relying on basic tools such as eigensignals of linear time-invariant systems, linear and circular block convolution, and fast Fourier transforms (FFTs), this article develops a systematic discrete-time framework and designs novel systems for single- and multiuser wireless multicarrier communications-a field rich in signal processing challenges that holds great potential in various applications including audio/video broadcasting, cable television, modem design, multimedia services, mobile local area networks, and future-generation wideband cellular systems. Wireless multicarrier (MC) communication systems utilize multiple complex exponentials as information-bearing carriers. MC transmissions thus retain their shape and orthogonality when propagating through linear time-dispersive media, precisely as eigensignals do when they pass through linear time-invariant (LTI) systems.
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Cited by
Benvenuto, N., Dinis, R., Falconer, D., & Tomasin, S. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2031562 · Cited by 406
Cloud-Aided Cognitive Ambient Backscatter Wireless Sensor Networks
Darsena, D., Gelli, G., & Verde, F. (2019) · IEEE Access · doi:10.1109/access.2019.2914001 · Cited by 36
Metadata
- Authors
- Wang, Z., & Giannakis, G. B.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2000-05
- Volume
- 17
- Issue
- 3
- Pages
- 29-48
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2049532134
- Cited by
- 1,278
- References
- 0
- FWCI
- 71.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, Z., & Giannakis, G. B. (2000). Wireless multicarrier communications. IEEE Signal Processing Magazine. https://doi.org/10.1109/79.841722
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
