| partial differential equation | PDE | 378 | 35 | 2.002045 | 1910.00085,1910.00172,etc |
| signal to noise ratio | SNR | 296 | 22 | 2.001761 | 1910.00092,1910.00461,etc |
| theorem | Theorem | 737 | 20 | 2.002799 | 1910.00485,1910.00639,etc |
| multiple input multiple output | MIMO | 552 | 18 | 2.002471 | 1910.00092,1910.00461,etc |
| base station | BS | 393 | 18 | 2.003494 | 1910.00244,1910.00510,etc |
| channel state information | CSI | 270 | 17 | 2.002649 | 1910.00092,1910.00461,etc |
| ordinary differential equation | ODE | 99 | 15 | 1.001322 | 1910.00755,1910.00858,etc |
| radio frequency | RF | 254 | 13 | 2.001175 | 1910.00092,1910.00461,etc |
| signal to interference plus noise ratio | SINR | 94 | 12 | 2.00097 | 1910.00244,1910.00461,etc |
| internet of things | IoT | 176 | 12 | 1.003824 | 1910.00946,1910.00968,etc |
| additive white gaussian noise | AWGN | 42 | 11 | 1.000846 | 1910.00244,1910.00946,etc |
| probability density function | PDF | 45 | 11 | 1.000654 | 1910.00946,1910.00959,etc |
| fifth generation | 5G | 78 | 10 | 2.001196 | 1910.00092,1910.00244,etc |
| alternating direction method of multipliers | ADMM | 210 | 10 | 2.003192 | 1910.01312,1910.03365,etc |
| millimeter wave | mmWave | 407 | 9 | 1.004816 | 1910.00092,1910.00461,etc |
| deutsche forschungsgemeinschaft | DFG | 13 | 9 | 1.000115 | 1910.00121,1910.03486,etc |
| three dimensional | 3D | 69 | 9 | 1.000498 | 1910.00173,1910.00425,etc |
| conjugate gradient | CG | 70 | 9 | 1.000836 | 1910.00914,1910.01312,etc |
| orthogonal frequency division multiplexing | OFDM | 75 | 9 | 1.002234 | 1910.01350,1910.01573,etc |
| cumulative distribution function | CDF | 20 | 8 | 1.000184 | 1910.00092,1910.00946,etc |
| quality of service | QoS | 98 | 8 | 2.000854 | 1910.00092,1910.00244,etc |
| deep neural network | DNN | 189 | 8 | 2.003618 | 1910.00121,1910.01594,etc |
| stochastic differential equation | SDE | 51 | 8 | 2.000969 | 1910.02479,1910.03214,etc |
| discontinuous galerkin | DG | 264 | 7 | 2.002955 | 1910.00085,1910.00151,etc |
| uniform linear array | ULA | 32 | 7 | 1.00166 | 1910.00092,1910.00461,etc |
| single input single output | SISO | 27 | 7 | 2.001633 | 1910.00110,1910.00838,etc |
| multiple input single output | MISO | 47 | 7 | 2.001116 | 1910.00244,1910.00959,etc |
| markov chain monte carlo | MCMC | 45 | 7 | 2.001117 | 1910.00853,1910.01547,etc |
| bit error rate | BER | 89 | 7 | 2.001372 | 1910.00853,1910.00946,etc |
| line of sight | LOS | 154 | 7 | 1.001136 | 1910.00946,1910.00959,etc |
| european research council | ERC | 7 | 7 | 1.000086 | 1910.01028,1910.02154,etc |
| karush kuhn tucker | KKT | 31 | 7 | 1.000521 | 1910.01312,1910.04300,etc |
| linear matrix inequality | LMI | 36 | 6 | 1.001417 | 1910.00046,1910.01338,etc |
| minimum mean square error | MMSE | 73 | 6 | 2.001523 | 1910.00092,1910.00946,etc |
| discrete fourier transform | DFT | 18 | 6 | 1.000226 | 1910.00092,1910.03013,etc |
| unmanned aerial vehicle | UAV | 318 | 6 | 2.010781 | 1910.00092,1910.00461,etc |
| non orthogonal multiple access | NOMA | 1009 | 6 | 1.007868 | 1910.00244,1910.00461,etc |
| orthogonal multiple access | OMA | 1292 | 6 | 1.008491 | 1910.00244,1910.00461,etc |
| singular value decomposition | SVD | 22 | 6 | 1.00054 | 1910.00838,1910.00946,etc |
| maximum likelihood | ML | 79 | 6 | 2.00288 | 1910.01176,1910.01350,etc |
| stochastic gradient descent | SGD | 82 | 6 | 2.005648 | 1910.01594,1910.02953,etc |
| principal component analysis | PCA | 50 | 6 | 1.0007 | 1910.02098,1910.02573,etc |
| mean square error | MSE | 96 | 6 | 2.0022 | 1910.02449,1910.02534,etc |
| fast fourier transform | FFT | 101 | 6 | 1.003978 | 1910.03013,1910.03080,etc |
| initial value problem | IVP | 27 | 6 | 1.000453 | 1910.03022,1910.03124,etc |
| user equipment | UE | 192 | 5 | 2.00718 | 1910.00092,1910.00461,etc |
| finite element method | FEM | 22 | 5 | 2.00148 | 1910.00298,1910.01000,etc |
| national science foundation | NSF | 7 | 5 | 1.000096 | 1910.00425,1910.00751,etc |
| lemma | Lemma | 147 | 5 | 2.002379 | 1910.00639,1910.03199,etc |
| left hand side | LHS | 52 | 5 | 2.00087 | 1910.00693,1910.00946,etc |
| two dimensional | 2D | 48 | 5 | 2.000715 | 1910.01350,1910.01889,etc |
| rectified linear unit | ReLU | 7 | 5 | 1.000298 | 1910.01594,1910.01948,etc |
| mean squared error | MSE | 45 | 5 | 1.000467 | 1910.03660,1910.03821,etc |
| time division duplex | TDD | 26 | 4 | 2.000746 | 1910.00092,1910.00946,etc |
| cloud radio access network | C-RAN | 14 | 4 | 2.000357 | 1910.00092,1910.02953,etc |
| analog to digital converter | ADC | 42 | 4 | 2.001861 | 1910.00092,1910.02449,etc |
| expectation maximization | EM | 46 | 4 | 1.000686 | 1910.00092,1910.02953,etc |
| binary symmetric channel | BSC | 37 | 4 | 2.000477 | 1910.00215,1910.06127,etc |
| simultaneous wireless information and power transfer | SWIPT | 46 | 4 | 2.001365 | 1910.00244,1910.00959,etc |
| orthogonal frequency division multiple access | OFDMA | 48 | 4 | 2.001819 | 1910.00244,1910.00510,etc |
| maximal ratio combining | MRC | 117 | 4 | 2.003537 | 1910.00244,1910.00946,etc |
| fluid structure interaction | FSI | 81 | 4 | 1.004004 | 1910.00354,1910.03424,etc |
| proper orthogonal decomposition | POD | 215 | 4 | 2.008219 | 1910.00914,1910.01260,etc |
| degrees of freedom | DoF | 75 | 4 | 1.00126 | 1910.00946,1910.03365,etc |
| time division multiple access | TDMA | 18 | 4 | 1.00033 | 1910.00946,1910.00968,etc |
| semi definite programming | SDP | 23 | 4 | 1.000726 | 1910.00946,1910.04320,etc |
| stochastic partial differential equation | SPDE | 63 | 4 | 2.000799 | 1910.01004,1910.03543,etc |
| successive cancellation | SC | 231 | 4 | 2.008549 | 1910.01176,1910.03254,etc |
| support vector machine | SVM | 40 | 4 | 1.002183 | 1910.01312,1910.03196,etc |
| markov decision process | MDP | 34 | 4 | 1.001762 | 1910.01427,1910.01428,etc |
| deep learning | DL | 63 | 4 | 1.003097 | 1910.01948,1910.02098,etc |
| arbitrary lagrangian eulerian | ALE | 52 | 4 | 1.001376 | 1910.02189,1910.02282,etc |
| linear programming | LP | 25 | 4 | 1.000508 | 1910.02353,1910.03363,etc |
| linear quadratic regulator | LQR | 10 | 3 | 2.000736 | 1910.00046,1910.03271,etc |
| access point | AP | 142 | 3 | 2.002784 | 1910.00092,1910.04403,etc |
| angle of departure | AoD | 37 | 3 | 2.000107 | 1910.00092,1910.00461,etc |
| orthogonal matching pursuit | OMP | 18 | 3 | 2.001106 | 1910.00092,1910.04926,etc |
| successive interference cancellation | SIC | 11 | 3 | 1.000207 | 1910.00244,1910.00510,etc |
| low density parity check | LDPC | 100 | 3 | 2.007797 | 1910.00472,1910.00853,etc |
| dynamic programming | DP | 76 | 3 | 2.003809 | 1910.00510,1910.01895,etc |
| belief propagation | BP | 14 | 3 | 1.000273 | 1910.00853,1910.06803,etc |
| approximate message passing | AMP | 21 | 3 | 2.000847 | 1910.00853,1910.02953,etc |
| zero forcing | ZF | 40 | 3 | 2.000593 | 1910.00946,1910.04403,etc |
| circularly symmetric complex gaussian | CSCG | 5 | 3 | 1.000229 | 1910.00959,1910.04403,etc |
| age of information | AoI | 137 | 3 | 2.001094 | 1910.00963,1910.05144,etc |
| symbol error rate | SER | 19 | 3 | 1.000646 | 1910.00968,1910.02449,etc |
| central limit theorem | CLT | 9 | 3 | 1.000125 | 1910.00968,1910.03643,etc |
| inter symbol interference | ISI | 9 | 3 | 1.000316 | 1910.01028,1910.02953,etc |
| hamilton jacobi bellman | HJB | 13 | 3 | 1.000851 | 1910.01087,1910.03396,etc |
| random variable | RV | 6 | 3 | 1.000219 | 1910.01176,1910.01905,etc |
| dynamic mode decomposition | DMD | 101 | 3 | 2.003938 | 1910.01260,1910.03011,etc |
| interior point method | IPM | 14 | 3 | 1.001136 | 1910.01312,1910.03143,etc |
| approximate dynamic programming | ADP | 62 | 3 | 2.002173 | 1910.01427,1910.01428,etc |
| nonlinear schr"{o}dinger | NLS | 47 | 3 | 2.000829 | 1910.01482,1910.03449,etc |
| algorithm | Algorithm | 26 | 3 | 2.000449 | 1910.01573,1910.07773,etc |
| king abdullah university of science and technology | KAUST | 6 | 3 | 1.00005 | 1910.02110,1910.04727,etc |
| natural sciences and engineering research council of canada | NSERC | 5 | 3 | 1.00004 | 1910.02112,1910.03370,etc |
| ensemble kalman filter | EnKF | 44 | 3 | 1.003696 | 1910.02116,1910.04247,etc |
| likelihood ratio | LR | 48 | 3 | 1.003144 | 1910.02479,1910.03254,etc |
| semidefinite programming | SDP | 79 | 3 | 2.005293 | 1910.02715,1910.03716,etc |
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