| partial differential equation | PDE | 232 | 31 | 2.001516 | 1906.00126,1906.00177,etc |
| theorem | Theorem | 379 | 17 | 2.002884 | 1906.00162,1906.00272,etc |
| signal to noise ratio | SNR | 168 | 16 | 1.000897 | 1906.00211,1906.00220,etc |
| ordinary differential equation | ODE | 116 | 15 | 1.001196 | 1906.00436,1906.00689,etc |
| additive white gaussian noise | AWGN | 84 | 14 | 1.000763 | 1906.00548,1906.03165,etc |
| base station | BS | 420 | 11 | 1.007062 | 1906.00053,1906.00220,etc |
| non orthogonal multiple access | NOMA | 412 | 11 | 2.00406 | 1906.00186,1906.00220,etc |
| channel state information | CSI | 112 | 11 | 1.001257 | 1906.00220,1906.03165,etc |
| finite element method | FEM | 36 | 9 | 1.000405 | 1906.00126,1906.01090,etc |
| internet of things | IoT | 17 | 9 | 1.000299 | 1906.00192,1906.00548,etc |
| successive interference cancellation | SIC | 186 | 9 | 1.000714 | 1906.03410,1906.03817,etc |
| probability density function | PDF | 59 | 8 | 1.000748 | 1906.00126,1906.01680,etc |
| singular value decomposition | SVD | 37 | 8 | 1.000801 | 1906.00177,1906.00965,etc |
| line of sight | LoS | 42 | 8 | 1.000893 | 1906.00220,1906.00598,etc |
| alternating direction method of multipliers | ADMM | 76 | 8 | 1.001556 | 1906.00278,1906.01774,etc |
| stochastic differential equation | SDE | 59 | 8 | 2.000791 | 1906.00716,1906.01225,etc |
| bit error rate | BER | 79 | 8 | 2.002071 | 1906.02075,1906.03817,etc |
| model predictive control | MPC | 119 | 7 | 2.00219 | 1906.00177,1906.02580,etc |
| european research council | ERC | 8 | 7 | 1.000182 | 1906.00211,1906.01349,etc |
| signal to interference plus noise ratio | SINR | 74 | 7 | 1.001043 | 1906.00220,1906.03165,etc |
| multiple input multiple output | MIMO | 39 | 7 | 2.00061 | 1906.00220,1906.00548,etc |
| karush kuhn tucker | KKT | 37 | 7 | 2.000503 | 1906.00220,1906.00548,etc |
| belief propagation | BP | 67 | 7 | 2.002413 | 1906.02537,1906.02778,etc |
| cumulative distribution function | CDF | 42 | 6 | 1.001091 | 1906.00126,1906.01687,etc |
| time division multiple access | TDMA | 46 | 6 | 2.001688 | 1906.00186,1906.00548,etc |
| discrete fourier transform | DFT | 38 | 6 | 2.002321 | 1906.00211,1906.01671,etc |
| unmanned aerial vehicle | UAV | 495 | 6 | 2.012038 | 1906.00220,1906.02450,etc |
| fifth generation | 5G | 16 | 6 | 1.000137 | 1906.00220,1906.03929,etc |
| discontinuous galerkin | DG | 116 | 6 | 1.002986 | 1906.00829,1906.00885,etc |
| conjugate gradient | CG | 105 | 6 | 2.002608 | 1906.01413,1906.04732,etc |
| low density parity check | LDPC | 141 | 6 | 2.002562 | 1906.02075,1906.03817,etc |
| log likelihood ratio | LLR | 43 | 6 | 2.000404 | 1906.03817,1906.04448,etc |
| finite element | FE | 88 | 6 | 2.001376 | 1906.04635,1906.05188,etc |
| minimum mean squared error | MMSE | 67 | 5 | 1.000554 | 1906.00053,1906.03165,etc |
| left hand side | LHS | 15 | 5 | 1.000183 | 1906.00177,1906.03993,etc |
| first come first served | FCFS | 38 | 5 | 2.001071 | 1906.00192,1906.01356,etc |
| long term evolution | LTE | 9 | 5 | 1.000099 | 1906.00220,1906.00598,etc |
| reinforcement learning | RL | 95 | 5 | 2.001484 | 1906.00548,1906.01584,etc |
| quality of service | QoS | 29 | 5 | 1.000938 | 1906.00598,1906.06523,etc |
| degrees of freedom | DoF | 18 | 5 | 1.000172 | 1906.00829,1906.03863,etc |
| symmetric positive definite | SPD | 35 | 5 | 1.003172 | 1906.00885,1906.01349,etc |
| principal component analysis | PCA | 146 | 5 | 2.004173 | 1906.00909,1906.02493,etc |
| optimal power flow | OPF | 208 | 5 | 2.010419 | 1906.01570,1906.01572,etc |
| stochastic gradient descent | SGD | 49 | 5 | 1.002443 | 1906.02304,1906.02702,etc |
| hamilton jacobi bellman | HJB | 39 | 5 | 2.001068 | 1906.02703,1906.03592,etc |
| multiple input single output | MISO | 18 | 5 | 1.001117 | 1906.03165,1906.03410,etc |
| orthogonal multiple access | OMA | 312 | 5 | 2.00655 | 1906.03410,1906.03817,etc |
| ornstein uhlenbeck | OU | 33 | 5 | 2.000323 | 1906.04069,1906.05502,etc |
| proper orthogonal decomposition | POD | 166 | 5 | 1.005579 | 1906.05188,1906.05403,etc |
| deutsche forschungsgemeinschaft | DFG | 5 | 4 | 1.000192 | 1906.00021,1906.01951,etc |
| mean squared error | MSE | 78 | 4 | 1.000451 | 1906.00126,1906.01204,etc |
| root mean squared error | RMSE | 14 | 4 | 2.000284 | 1906.00126,1906.00278,etc |
| radio frequency | RF | 12 | 4 | 1.000466 | 1906.00186,1906.03165,etc |
| positive semidefinite | PSD | 79 | 4 | 1.005361 | 1906.00211,1906.04648,etc |
| three dimensional | 3D | 5 | 4 | 1.000086 | 1906.00220,1906.03165,etc |
| one dimensional | 1D | 37 | 4 | 1.000813 | 1906.00278,1906.03962,etc |
| semidefinite programming | SDP | 54 | 4 | 1.000925 | 1906.00278,1906.03410,etc |
| simultaneous wireless information and power transfer | SWIPT | 13 | 4 | 2.000904 | 1906.00548,1906.04092,etc |
| markov decision process | MDP | 28 | 4 | 1.000828 | 1906.00548,1906.04448,etc |
| national science foundation | NSF | 9 | 4 | 1.000122 | 1906.00704,1906.04635,etc |
| mean square error | MSE | 31 | 4 | 2.002834 | 1906.00793,1906.01680,etc |
| semidefinite program | SDP | 26 | 4 | 2.00066 | 1906.01711,1906.03165,etc |
| kullback leibler | KL | 40 | 4 | 2.000392 | 1906.01981,1906.06749,etc |
| extrinsic information transfer | EXIT | 78 | 4 | 2.002019 | 1906.02075,1906.03817,etc |
| density evolution | DE | 30 | 4 | 2.001554 | 1906.03817,1906.05410,etc |
| maximum likelihood | ML | 48 | 4 | 2.001663 | 1906.03817,1906.04448,etc |
| linear programming | LP | 46 | 3 | 2.001737 | 1906.00177,1906.03062,etc |
| access point | AP | 99 | 3 | 1.003539 | 1906.00186,1906.03165,etc |
| second order cone programming | SOCP | 12 | 3 | 1.000325 | 1906.00220,1906.01570,etc |
| time division duplex | TDD | 14 | 3 | 2.000608 | 1906.00220,1906.08443,etc |
| uniform linear array | ULA | 4 | 3 | 1.000202 | 1906.00220,1906.03165,etc |
| geometric invariant theory | GIT | 36 | 3 | 2.000737 | 1906.00272,1906.00801,etc |
| compressed sensing | CS | 156 | 3 | 2.001589 | 1906.00278,1906.03817,etc |
| camassa holm | CH | 45 | 3 | 2.00187 | 1906.00304,1906.01027,etc |
| support vector regression | SVR | 6 | 3 | 1.00012 | 1906.00464,1906.00793,etc |
| reproducing kernel hilbert space | RKHS | 43 | 3 | 2.000473 | 1906.00464,1906.02096,etc |
| partially observable markov decision process | POMDP | 71 | 3 | 1.004677 | 1906.00548,1906.05988,etc |
| linear quadratic | LQ | 12 | 3 | 1.00028 | 1906.00731,1906.03177,etc |
| high order | HHO | 9 | 3 | 1.000823 | 1906.00757,1906.06634,etc |
| reduced order model | ROM | 45 | 3 | 2.002413 | 1906.00810,1906.05403,etc |
| weak galerkin | WG | 12 | 3 | 1.001716 | 1906.00885,1906.06634,etc |
| quantum field theory | QFT | 35 | 3 | 2.001419 | 1906.00940,1906.01881,etc |
| kardar parisi zhang | KPZ | 29 | 3 | 2.000163 | 1906.01053,1906.01692,etc |
| partial differential equations | PDE | 40 | 3 | 2.001881 | 1906.01206,1906.04012,etc |
| gaussian process | GP | 29 | 3 | 2.001213 | 1906.01368,1906.06749,etc |
| maximum a posteriori | MAP | 4 | 3 | 1.000035 | 1906.01413,1906.02778,etc |
| finite difference method | FDM | 8 | 3 | 1.000039 | 1906.01554,1906.05034,etc |
| distributed energy resource | DER | 84 | 3 | 2.00206 | 1906.01570,1906.01572,etc |
| state of charge | SoC | 10 | 3 | 1.000261 | 1906.01570,1906.04108,etc |
| millimeter wave | mm-Wave | 6 | 3 | 1.000575 | 1906.01671,1906.06651,etc |
| angle of arrival | AOA | 23 | 3 | 2.000888 | 1906.01671,1906.04782,etc |
| fluid structure interaction | FSI | 94 | 3 | 1.000837 | 1906.01962,1906.04033,etc |
| simulated annealing | SA | 36 | 3 | 1.005023 | 1906.02389,1906.04396,etc |
| central limit theorem | CLT | 15 | 3 | 1.000458 | 1906.03167,1906.07780,etc |
| mutual information | MMI | 75 | 3 | 2.003308 | 1906.03777,1906.05410,etc |
| binary phase shift keying | BPSK | 9 | 3 | 1.000129 | 1906.03817,1906.05410,etc |
| sum product algorithm | SPA | 8 | 3 | 1.000027 | 1906.03817,1906.06280,etc |
| binary erasure channel | BEC | 31 | 3 | 2.002035 | 1906.03817,1906.06649,etc |
| discrete memoryless channel | DMC | 8 | 3 | 1.000138 | 1906.03817,1906.06675,etc |
| frequency division multiple access | FDMA | 40 | 3 | 1.002632 | 1906.03817,1906.04092,etc |
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