1. Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer
- Author
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Kalapraveen Bagadi, Ravikumar C. V., K. Sathish, Mohammad Alibakhshikenari, Bal S. Virdee, Lida Kouhalvandi, Karen N. Olan-Nunez, Giovanni Pau, Chan Hwang See, Iyad Dayoub, Patrizia Livreri, Sonia Aissa, Francisco Falcone, Ernesto Limiti, Universidad Carlos III de Madrid [Madrid] (UC3M), University of Bologna/Università di Bologna, University of California (UC), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Dr. Mohammad Alibakhshikenari acknowledges support from the CONEX-Plus programme funded by Universidad Carlos III de Madrid and the EuropeanUnion's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 801538. Also, this work was partiallysupported by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER, UE) under Grant RTI2018-095499-B-C31., European Project: 801538,H2020,H2020-MSCA-COFUND-2017,CONEX-Plus(2019), Universidad Carlos III de Madrid, Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Bagadi, K, Ravikumar, CV, Sathish, K, Alibakhshikenari, M, Virdee, BS, Kouhalvandi, L, Olan-Nunez, KN, Pau, G, See, CH, Dayoub, I, Livreri, P, Aissa, S, Falcone, F, and Limiti, E
- Subjects
General Computer Science ,Iterative methods ,Multiaccess communication ,Receivers ,MMSE ,Nonlinear distortion ,Codes ,Feedback ,CDMA ,[SPI]Engineering Sciences [physics] ,CDMA, OFDM, MAI, MMSE, IB-DFE, Maximum Likelihood (ML) ,General Materials Science ,Spectral efficiency ,Maximum likelihood (Ml) ,Electrical and Electronic Engineering ,OFDM ,Decision feedback equalizers ,[PHYS]Physics [physics] ,Telecomunicaciones ,Power amplifiers ,General Engineering ,MAI ,Maximum Likelihood (ML) ,Multicarrier code division multiple access ,AI and Technologies ,Bit error rate ,IB-DFE ,Signal detection ,Engineering Research Group - Abstract
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).
- Published
- 2022
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