Kanaras, I and Chorti, A and Rodrigues, MRD and Darwazeh, I (2009) Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity. In: ICC 2009 - 2009 IEEE International Conference on Communications, 2009-06-14 - 2009-06-18.
Kanaras, I and Chorti, A and Rodrigues, MRD and Darwazeh, I (2009) Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity. In: ICC 2009 - 2009 IEEE International Conference on Communications, 2009-06-14 - 2009-06-18.
Kanaras, I and Chorti, A and Rodrigues, MRD and Darwazeh, I (2009) Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity. In: ICC 2009 - 2009 IEEE International Conference on Communications, 2009-06-14 - 2009-06-18.
Abstract
This paper investigates the transmission of Frequency Division Multiplexed (FDM) signals, where carrier orthogonality is intentionally violated in order to increase bandwidth efficiency. In analogy to conventional OFDM, signal generation relies on an Inverse Fractional Fourier Transform (IFRFT) that can be implemented with O(N log2 N) algorithmic complexity. Optimal Maximum Likelihood (ML) detection is overly complex due to the presence of substantial Intercarrier Interference (ICI). Consequently, we investigate an alternative detection mechanism based on the Generalized Sphere Decoding (GSD) algorithm. We examine the bandwidth efficiency and the error performance in Additive White Gaussian Noise (AWGN), for various FDM signal parameters. In particular, we show that it is possible to detect optimally and efficiently FDM signals, with 25% bandwidth gain with respect to analogous OFDM signals. This indicates that the transmission of spectrally efficient non orthogonal FDM signals is tangible. ©2009 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: IEEE International Conference on Communications |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 15 Jul 2015 20:01 |
Last Modified: | 05 Dec 2024 20:35 |
URI: | http://repository.essex.ac.uk/id/eprint/9137 |