| partial differential equation | PDE | 3591 | 311 | 1.693562 | 2001.00167,2001.00178,etc |
| channel state information | CSI | 3674 | 270 | 1.510423 | 2001.00364,2001.00607,etc |
| base station | BS | 7903 | 264 | 1.9183 | 2001.00347,2001.00351,etc |
| additive white gaussian noise | AWGN | 649 | 199 | 1.151664 | 2001.00481,2001.00546,etc |
| multiple input multiple output | MIMO | 2829 | 197 | 1.78973 | 2001.00342,2001.00347,etc |
| ordinary differential equation | ODE | 1337 | 148 | 1.420377 | 2001.00389,2001.01307,etc |
| internet of things | IoT | 1363 | 147 | 1.199499 | 2001.00364,2001.00767,etc |
| deutsche forschungsgemeinschaft | DFG | 173 | 138 | 1.000181 | 2001.04108,2001.04294,etc |
| european research council | ERC | 183 | 132 | 1.000143 | 2001.01792,2001.02934,etc |
| signal to interference plus noise ratio | SINR | 1373 | 124 | 1.33296 | 2001.00347,2001.01255,etc |
| stochastic differential equation | SDE | 1511 | 119 | 1.440097 | 2001.00408,2001.00665,etc |
| stochastic gradient descent | SGD | 1236 | 100 | 1.442012 | 2001.01700,2001.04860,etc |
| karush kuhn tucker | KKT | 538 | 96 | 1.365568 | 2001.00306,2001.00481,etc |
| non orthogonal multiple access | NOMA | 2991 | 95 | 1.446978 | 2001.03206,2001.03323,etc |
| discontinuous galerkin | DG | 2440 | 89 | 1.936514 | 2001.00169,2001.03825,etc |
| fifth generation | 5G | 450 | 88 | 1.398708 | 2001.00207,2001.00364,etc |
| maximum likelihood | ML | 785 | 86 | 1.339574 | 2001.00546,2001.00607,etc |
| unmanned aerial vehicle | UAV | 6343 | 85 | 1.751644 | 2001.00351,2001.00364,etc |
| quality of service | QoS | 584 | 85 | 1.00095 | 2001.00207,2001.00914,etc |
| intelligent reflecting surface | IRS | 6902 | 84 | 1.876422 | 2001.00364,2001.01887,etc |
| alternating direction method of multipliers | ADMM | 1629 | 80 | 1.441761 | 2001.00509,2001.00708,etc |
| mean squared error | MSE | 1137 | 80 | 1.551773 | 2001.00607,2001.00612,etc |
| orthogonal frequency division multiplexing | OFDM | 1103 | 77 | 1.431483 | 2001.01544,2001.02446,etc |
| finite element method | FEM | 774 | 77 | 1.352452 | 2001.00649,2001.00940,etc |
| deep neural network | DNN | 1473 | 74 | 1.746625 | 2001.00207,2001.00364,etc |
| successive interference cancellation | SIC | 795 | 73 | 1.577347 | 2001.00607,2001.03206,etc |
| bit error rate | BER | 820 | 69 | 1.407848 | 2001.00342,2001.01187,etc |
| central limit theorem | CLT | 495 | 67 | 1.493941 | 2001.00397,2001.02110,etc |
| user equipment | UE | 2479 | 65 | 1.928677 | 2001.00914,2001.02447,etc |
| model predictive control | MPC | 1195 | 63 | 1.638381 | 2001.00450,2001.02244,etc |
| access point | AP | 2473 | 60 | 1.755747 | 2001.00351,2001.02348,etc |
| markov chain monte carlo | MCMC | 331 | 59 | 1.136282 | 2001.04053,2001.06788,etc |
| zero forcing | ZF | 429 | 57 | 1.299699 | 2001.00342,2001.03206,etc |
| markov decision process | MDP | 973 | 57 | 1.633862 | 2001.02482,2001.02557,etc |
| multiple input single output | MISO | 284 | 56 | 1.340032 | 2001.03206,2001.03753,etc |
| kullback leibler | KL | 576 | 56 | 1.430525 | 2001.02748,2001.04341,etc |
| three dimensional | 3D | 456 | 55 | 1.401244 | 2001.00481,2001.01053,etc |
| finite element | FE | 1038 | 52 | 1.964395 | 2001.00362,2001.03673,etc |
| semidefinite programming | SDP | 1166 | 51 | 1.492567 | 2001.01194,2001.07598,etc |
| reconfigurable intelligent surface | RIS | 3575 | 50 | 2.007759 | 2001.00364,2001.02348,etc |
| linear programming | LP | 620 | 50 | 1.321582 | 2001.00843,2001.01234,etc |
| uniform linear array | ULA | 145 | 50 | 1.12042 | 2001.04863,2001.07339,etc |
| angle of arrival | AoA | 363 | 49 | 1.388739 | 2001.04554,2001.04840,etc |
| reinforcement learning | RL | 702 | 49 | 1.654943 | 2001.00207,2001.03148,etc |
| age of information | AoI | 2522 | 47 | 1.877251 | 2001.01122,2001.01234,etc |
| orthogonal multiple access | OMA | 2689 | 47 | 2.006891 | 2001.03206,2001.03757,etc |
| hamilton jacobi bellman | HJB | 483 | 46 | 1.675239 | 2001.01110,2001.03148,etc |
| minimum mean square error | MMSE | 659 | 46 | 1.633024 | 2002.01504,2002.06945,etc |
| poisson point process | PPP | 306 | 44 | 1.523832 | 2001.01884,2001.04840,etc |
| time division duplex | TDD | 231 | 43 | 1.164094 | 2001.04554,2001.06595,etc |
| proper orthogonal decomposition | POD | 847 | 42 | 1.670142 | 2001.01158,2001.01958,etc |
| simultaneous wireless information and power transfer | SWIPT | 228 | 42 | 1.453675 | 2002.01765,2002.03142,etc |
| successive convex approximation | SCA | 325 | 41 | 1.51308 | 2001.00351,2001.00481,etc |
| boundary value problem | BVP | 397 | 40 | 1.476834 | 2001.05307,2001.06885,etc |
| non line of sight | NLoS | 351 | 39 | 1.257298 | 2001.05763,2001.07438,etc |
| time division multiple access | TDMA | 219 | 38 | 1.238017 | 2001.03757,2001.03913,etc |
| single input single output | SISO | 129 | 38 | 1.000581 | 2002.04221,2002.06945,etc |
| linear time invariant | LTI | 171 | 37 | 1.162797 | 2001.00306,2001.00708,etc |
| spectral efficiency | SE | 1128 | 36 | 1.948754 | 2001.00347,2001.02446,etc |
| two dimensional | 2D | 449 | 36 | 1.473514 | 2001.00481,2001.04840,etc |
| decode and forward | DF | 593 | 35 | 1.688362 | 2001.01193,2001.01257,etc |
| conjugate gradient | CG | 662 | 35 | 1.345849 | 2002.00676,2002.00917,etc |
| machine learning | ML | 377 | 34 | 1.266461 | 2001.00207,2001.02500,etc |
| convolutional neural network | CNN | 227 | 33 | 1.061543 | 2001.00207,2001.02492,etc |
| low density parity check | LDPC | 610 | 32 | 1.596375 | 2001.00611,2001.02854,etc |
| degrees of freedom | DoF | 845 | 31 | 1.454213 | 2001.01255,2001.04358,etc |
| maximum likelihood estimator | MLE | 395 | 31 | 1.679671 | 2001.01166,2001.01194,etc |
| semidefinite relaxation | SDR | 167 | 31 | 1.194291 | 2001.01887,2001.05763,etc |
| gradient descent | GD | 595 | 31 | 1.647742 | 2002.02881,2002.05023,etc |
| total variation | TV | 380 | 30 | 1.602267 | 2001.01053,2001.03039,etc |
| linear matrix inequality | LMI | 257 | 30 | 1.067411 | 2001.00306,2001.05795,etc |
| linear program | LP | 288 | 29 | 1.862965 | 2001.02183,2001.03913,etc |
| orthogonal frequency division multiple access | OFDMA | 190 | 29 | 1.449452 | 2001.03282,2001.03913,etc |
| long term evolution | LTE | 230 | 28 | 1.286693 | 2001.00914,2001.04840,etc |
| amplify and forward | AF | 355 | 28 | 1.288408 | 2001.01257,2001.02348,etc |
| compressed sensing | CS | 563 | 28 | 1.609231 | 2001.03705,2001.07181,etc |
| minimum mean squared error | MMSE | 303 | 28 | 1.823211 | 2002.02628,2002.03106,etc |
| uniform planar array | UPA | 124 | 28 | 1.143408 | 2002.01629,2002.08148,etc |
| partial differential equations | PDE | 243 | 27 | 1.297284 | 2001.05072,2001.07795,etc |
| rectified linear unit | ReLU | 175 | 27 | 1.186457 | 2002.02628,2002.04486,etc |
| multiple access channel | MAC | 369 | 26 | 1.385995 | 2001.00607,2001.03753,etc |
| semidefinite program | SDP | 319 | 26 | 1.732702 | 2001.01887,2001.02183,etc |
| left hand side | LHS | 55 | 26 | 1.115611 | 2001.00481,2001.03913,etc |
| approximate message passing | AMP | 713 | 26 | 1.772792 | 2001.03243,2001.03705,etc |
| expectation maximization | EM | 151 | 26 | 1.154747 | 2001.01194,2001.06247,etc |
| monte carlo | MC | 430 | 26 | 1.464228 | 2002.07859,2002.07989,etc |
| cyclic prefix | CP | 324 | 25 | 1.283728 | 2001.00914,2001.02446,etc |
| maximum distance separable | MDS | 245 | 25 | 1.440956 | 2001.02956,2001.04005,etc |
| alternating optimization | AO | 145 | 25 | 1.441038 | 2002.00990,2002.03106,etc |
| binary symmetric channel | BSC | 186 | 24 | 1.292987 | 2001.00847,2001.01159,etc |
| restricted isometry property | RIP | 173 | 24 | 1.37574 | 2001.00639,2001.02855,etc |
| stochastic partial differential equation | SPDE | 252 | 24 | 1.542497 | 2001.01098,2001.02460,etc |
| analog to digital converter | ADC | 620 | 24 | 1.587118 | 2001.00347,2001.00914,etc |
| optimal power flow | OPF | 705 | 24 | 1.921365 | 2001.00767,2001.00898,etc |
| maximum a posteriori | MAP | 236 | 24 | 1.459657 | 2001.01194,2001.06029,etc |
| neural network | NN | 724 | 23 | 1.526336 | 2001.00342,2001.03814,etc |
| deep learning | DL | 289 | 23 | 1.827859 | 2001.00342,2001.02348,etc |
| new radio | NR | 397 | 23 | 1.914521 | 2001.00914,2001.02446,etc |
| binary phase shift keying | BPSK | 57 | 23 | 1.000313 | 2001.01201,2001.03089,etc |
| full duplex | FD | 620 | 23 | 1.829381 | 2002.02123,2002.06193,etc |
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