On the performance of ECF-based multi-threshold receiver in NOMA systems for vehicular communications with unknown impulsive noise
作者： S. Mohammad Saberali , Farzad Parvaresh , Mahdi Majidi , Bentolhoda Alinezhad Seyyedmahalleh
DOI: 10.1016/J.VEHCOM.2020.100331
关键词: Algorithm 、 Gaussian 、 Upper and lower bounds 、 Signal 、 Detector 、 Computer science 、 Estimator 、 Single antenna interference cancellation 、 Noise (electronics) 、 Telecommunications link
摘要: Abstract In this paper, we derive an analytical expression for the bit error probability of a multi-threshold (MTh) detector in downlink three-user non-orthogonal multiple access (NOMA) based vehicular communication system with unknown noise. The MTh directly detects signal vehicle user highest channel gain without detecting signals weaker users and removing their effects. It is shown that performance superior to successive interference cancellation (SIC) special case. Then, propose blind empirical characteristic function (ECF) method estimate levels users, required implement detector, Next, variance proposed ECF-based estimator which validated via computer simulations. asymptotically unbiased consistent. Furthermore, obtain normalized Cramer-Rao lower bound (NCRLB) estimators shows almost efficient small generalized signal-to-noise ratio (GSNR) values. Numerical results show outperforms absolute median-based SIC mixture Gaussian α-stable
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