Performance Analysis of Maximum-Correntropy Based Detection for SCMA

Non-orthogonal multiple access (NOMA) has emerged as a promising multiple-access technique capable of accommodating many users over limited time-frequency resources. Among several NOMA techniques, sparse code multiple access (SCMA) has emerged as viable due to its promise of high coding-gain by appropriate codebook-design and simplistic detection using message-passing algorithm (MPA). However, the performance of classic SCMA based systems are severely impaired by impulsive noise (IN), which causes outages and therefore non-negligible degradations to the bit-error-rate (BER) performance. Exploiting the robustness of the maximum correntropy criterion (MCC) to non-Gaussian noise processes, an MPA based detector is formulated with message-functions derived from the MCC criterion. Based on the said MCC criterion, concurrent-adaptation of the MCC’s spread-parameter is proposed in this letter. Lastly, analytical results for the proposed approach’s BER performance are presented with corresponding validation by computer-simulations.

[1]  Halim Yanikomeroglu,et al.  Enabling Sphere Decoding for SCMA , 2017, IEEE Communications Letters.

[2]  Jun Yin,et al.  Null Subcarriers Assisted Impulsive Noise Mitigation for In-Vehicle Power Line Communication in the Presence of Narrowband Interference , 2019, IEEE Transactions on Vehicular Technology.

[3]  Vimal Bhatia,et al.  Joint Power-Domain and SCMA-Based NOMA System for Downlink in 5G and Beyond , 2019, IEEE Communications Letters.

[4]  Octavia A. Dobre,et al.  Low-Cost Uplink Sparse Code Multiple Access for Spatial Modulation , 2019, IEEE Transactions on Vehicular Technology.

[5]  Georges Kaddoum,et al.  Mitigation Techniques for Impulsive Noise With Memory Modeled by a Two State Markov-Gaussian Process , 2020, IEEE Systems Journal.

[6]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[7]  Ming Xiao,et al.  Performance Analysis of Uplink SCMA With Receiver Diversity and Randomly Deployed Users , 2018, IEEE Transactions on Vehicular Technology.

[8]  Vimal Bhatia,et al.  Precoding Technique for Ill-Conditioned Massive MIMO-VLC System , 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[9]  A. Spaulding,et al.  Optimum Reception in an Impulsive Interference Environment - Part I: Coherent Detection , 1977, IEEE Transactions on Communications.

[10]  Alexander B. Sergienko,et al.  Spectral efficiency of uplink SCMA system with CSI estimation , 2017, 2017 20th Conference of Open Innovations Association (FRUCT).

[11]  Octavia A. Dobre,et al.  On the Complexity Reduction of Uplink Sparse Code Multiple Access for Spatial Modulation , 2020, IEEE Transactions on Communications.

[12]  Yasser Mestrah.  Robust Communication Systems in Unknown Environments. (Systèmes de communication robustes dans des environnements inconnus) , 2019 .

[13]  George K. Karagiannidis,et al.  A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends , 2017, IEEE Journal on Selected Areas in Communications.

[14]  H. Vincent Poor,et al.  Multiple Access Techniques for 5G Wireless Networks and Beyond , 2018 .

[15]  Lutz Lampe,et al.  Bursty impulse noise detection by compressed sensing , 2011, 2011 IEEE International Symposium on Power Line Communications and Its Applications.

[16]  Vimal Bhatia,et al.  Non-orthogonal Multiple Access: An Enabler for Massive Connectivity , 2020, Journal of the Indian Institute of Science.

[17]  Fabrice Labeau,et al.  A Markov-Middleton Model for Bursty Impulsive Noise: Modeling and Receiver Design , 2013, IEEE Transactions on Power Delivery.

[18]  Bernard Mulgrew,et al.  Non-parametric likelihood based channel estimator for Gaussian mixture noise , 2007, Signal Process..

[19]  Kun Lu,et al.  A Survey of Non-Orthogonal Multiple Access for 5G , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[20]  Badong Chen,et al.  System Parameter Identification: Information Criteria and Algorithms , 2013 .

[21]  Georges Kaddoum,et al.  Color-Domain SCMA NOMA for Visible Light Communication , 2021, IEEE Communications Letters.

[22]  Mohamed-Slim Alouini,et al.  A Survey of NOMA: Current Status and Open Research Challenges , 2019, IEEE Open Journal of the Communications Society.

[23]  Vimal Bhatia,et al.  Wireless Consumer Electronic Devices: The Effects of Impulsive Radio-Frequency Interference , 2019, IEEE Consumer Electronics Magazine.

[24]  Bassant Selim,et al.  NOMA-Based IoT Networks: Impulsive Noise Effects and Mitigation , 2020, IEEE Communications Magazine.

[25]  Bassant Selim,et al.  Effect of Impulsive Noise on Uplink NOMA Systems , 2020, IEEE Transactions on Vehicular Technology.

[26]  John Polcari,et al.  An Informative Interpretation of Decision Theory: The Information Theoretic Basis for Signal-to-Noise Ratio and Log Likelihood Ratio , 2013, IEEE Access.

[27]  Vimal Bhatia,et al.  Precoded Chebyshev-NLMS-Based Pre-Distorter for Nonlinear LED Compensation in NOMA-VLC , 2017, IEEE Transactions on Communications.

[28]  Paeiz Azmi,et al.  Comparison Study between NOMA and SCMA , 2017, ArXiv.

[29]  Hosein Nikopour,et al.  Sparse code multiple access , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[30]  Kia Wiklundh,et al.  Channel capacity of Middleton's class A interference channel , 2009 .