Power Allocation and Capacity Analysis for FBMC-OQAM With Superimposed Training

Superimposed training (ST) is a semiblind channel estimation technique, proposed for orthogonal frequency division multiplexing (OFDM), where training sequences are added to data symbols, avoiding the use of dedicated pilot-subcarriers, and increasing the available bandwidth compared with pilot symb...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.46968-46976
Main Authors: Estrada-Jimenez, Juan Carlos, Chen-Hu, Kun, Garcia, M. Julia Fernandez-Getino, Garcia Armada, Ana
Format: Article
Language:English
Subjects:
Channel capacity
Channel estimation
data interference
Error analysis
FBMC
Filter banks
Interference
OFDM
Orthogonal Frequency Division Multiplexing
Proposals
Quadrature amplitude modulation
Resource management
Sequences
Subcarriers
superimposed training
Training
Waveforms
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Summary:Superimposed training (ST) is a semiblind channel estimation technique, proposed for orthogonal frequency division multiplexing (OFDM), where training sequences are added to data symbols, avoiding the use of dedicated pilot-subcarriers, and increasing the available bandwidth compared with pilot symbol assisted modulation (PSAM). Filter bank multicarrier offset quadrature amplitude modulation (FBMC-OQAM) is a promising waveform technique considered to replace the OFDM, which takes advantage of well-designed filters to avoid the use of cyclic prefix and reduce the out-band-emissions. In this paper, we provide the expressions of the average channel capacity of the FBMC-OQAM combined with either PSAM or ST schemes, considering imperfect channel estimation and the presence of the pilot sequences. In order to compute the capacity expression of our proposal, ST-FBMC-OQAM, we analyze the channel estimation error and its variance. The average channel capacity is deduced considering the noise, data interference from ST, and the intrinsic self-interference of the FBMC-OQAM. Additionally, to maximize the average channel capacity, the optimal value of data power allocation is also obtained. The simulation results confirm the validity of the capacity analysis and demonstrate the superiority of the ST-FBMC-OQAM over existing proposals.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2909405