6533b85dfe1ef96bd12bf2b5

RESEARCH PRODUCT

Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer

Kalapraveen BagadiRavikumar C. V.K. SathishMohammad AlibakhshikenariBal S. VirdeeLida KouhalvandiKaren N. Olan-nunezGiovanni PauChan Hwang SeeIyad DayoubPatrizia LivreriSonia AissaFrancisco FalconeErnesto Limiti

subject

General Computer ScienceIterative methodsMultiaccess communicationReceiversMMSENonlinear distortionCodesFeedbackCDMA[SPI]Engineering Sciences [physics]CDMA OFDM MAI MMSE IB-DFE Maximum Likelihood (ML)General Materials ScienceSpectral efficiencyMaximum likelihood (Ml)Electrical and Electronic EngineeringOFDMDecision feedback equalizers[PHYS]Physics [physics]TelecomunicacionesPower amplifiersGeneral EngineeringMAIMaximum Likelihood (ML)Multicarrier code division multiple accessAI and TechnologiesBit error rateIB-DFESignal detectionEngineering Research Group

description

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral efficiency and resistance towards inter symbol interference (ISI) however when exposed to substantial nonlinear distortion the issue of MAI manifests. Such distortion results when the power amplifiers are driven into saturation or when the transmit signal experiences extreme adverse channel conditions. The proposed technique uses a modified iterative block decision feedback equalizer (IB-DFE) that uses a minimal mean square error (MMSE) receiver in the feed-forward path to nullify the residual interference from the IB-DFE receiver. The received signal is re-filtered in an iterative process to significantly improve the MC-CDMA system’s performance. The effectiveness of the proposed modified IB-DFE technique in MC-CDMA systems has been analysed under various harsh nonlinear conditions, and the results of this analysis presented here confirm the effectiveness of the proposed technique to outperform conventional methodologies in terms of the bit error rate (BER) and lesser computational complexity. Dr. Mohammad Alibakhshikenari acknowledges support from the CONEX-Plus programme funded by Universidad Carlos III de Madrid and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 801538. Also, this work was supported by Project RTI2018-095499-B-C31, funded by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER, UE).

yearjournalcountryeditionlanguage
2022-10-03IEEE Access
https://doi.org/10.1109/access.2022.3211392