| 1 | partial differential equation | PDE | 336 | 25 | 2.003024 | 2001.00167,2001.00178,etc |
| 2 | channel state information | CSI | 300 | 20 | 2.003648 | 2001.00364,2001.00607,etc |
| 3 | base station | BS | 630 | 19 | 2.005967 | 2001.00347,2001.00351,etc |
| 4 | multiple input multiple output | MIMO | 244 | 14 | 2.002849 | 2001.00342,2001.00347,etc |
| 5 | internet of things | IoT | 268 | 14 | 1.005901 | 2001.00364,2001.00767,etc |
| 6 | additive white gaussian noise | AWGN | 69 | 14 | 2.000784 | 2001.00481,2001.00546,etc |
| 7 | unmanned aerial vehicle | UAV | 921 | 12 | 1.01334 | 2001.00351,2001.00364,etc |
| 8 | stochastic differential equation | SDE | 233 | 12 | 2.009854 | 2001.00408,2001.00665,etc |
| 9 | maximum likelihood | ML | 185 | 12 | 1.005075 | 2001.00546,2001.00607,etc |
| 10 | european research council | ERC | 14 | 12 | 1.000218 | 2001.01792,2001.02934,etc |
| 11 | signal to interference plus noise ratio | SINR | 216 | 11 | 1.004781 | 2001.00347,2001.01255,etc |
| 12 | ordinary differential equation | ODE | 146 | 11 | 1.002963 | 2001.00389,2001.01307,etc |
| 13 | bit error rate | BER | 63 | 9 | 2.001256 | 2001.00342,2001.01187,etc |
| 14 | successive interference cancellation | SIC | 130 | 9 | 2.004869 | 2001.00607,2001.03206,etc |
| 15 | binary symmetric channel | BSC | 49 | 9 | 1.002107 | 2001.00847,2001.01159,etc |
| 16 | fifth generation | 5G | 19 | 8 | 1.00025 | 2001.00207,2001.00364,etc |
| 17 | quality of service | QoS | 32 | 8 | 1.00077 | 2001.00207,2001.00914,etc |
| 18 | deep neural network | DNN | 27 | 8 | 1.00052 | 2001.00207,2001.00364,etc |
| 19 | karush kuhn tucker | KKT | 39 | 8 | 1.000753 | 2001.00306,2001.00481,etc |
| 20 | access point | AP | 496 | 8 | 2.010697 | 2001.00351,2001.02348,etc |
| 21 | alternating direction method of multipliers | ADMM | 243 | 8 | 1.008351 | 2001.00509,2001.00708,etc |
| 22 | mean squared error | MSE | 102 | 8 | 1.002423 | 2001.00607,2001.00612,etc |
| 23 | discrete memoryless channel | DMC | 21 | 8 | 1.000728 | 2001.01201,2001.02854,etc |
| 24 | non orthogonal multiple access | NOMA | 349 | 8 | 2.005635 | 2001.03206,2001.03323,etc |
| 25 | three dimensional | 3D | 64 | 7 | 1.002551 | 2001.00481,2001.01053,etc |
| 26 | deutsche forschungsgemeinschaft | DFG | 8 | 7 | 1.000138 | 2001.04108,2001.04294,etc |
| 27 | machine learning | ML | 40 | 6 | 1.002322 | 2001.00207,2001.02500,etc |
| 28 | successive convex approximation | SCA | 84 | 6 | 2.000988 | 2001.00351,2001.00481,etc |
| 29 | intelligent reflecting surface | IRS | 389 | 6 | 2.012114 | 2001.00364,2001.01887,etc |
| 30 | central limit theorem | CLT | 54 | 6 | 2.004065 | 2001.00397,2001.02110,etc |
| 31 | age of information | AoI | 386 | 6 | 2.002037 | 2001.01122,2001.01234,etc |
| 32 | degrees of freedom | DoF | 240 | 6 | 2.006058 | 2001.01255,2001.04358,etc |
| 33 | private information retrieval | PIR | 192 | 6 | 2.004948 | 2001.03753,2001.03843,etc |
| 34 | angle of arrival | AoA | 45 | 6 | 2.001015 | 2001.04554,2001.04840,etc |
| 35 | discontinuous galerkin | DG | 111 | 5 | 2.002206 | 2001.00169,2001.03825,etc |
| 36 | linear time invariant | LTI | 12 | 5 | 1.000417 | 2001.00306,2001.00708,etc |
| 37 | zero forcing | ZF | 18 | 5 | 1.000762 | 2001.00342,2001.03206,etc |
| 38 | spectral efficiency | SE | 145 | 5 | 2.006272 | 2001.00347,2001.02446,etc |
| 39 | difference of convex | DC | 20 | 5 | 1.000937 | 2001.00351,2001.01906,etc |
| 40 | reconfigurable intelligent surface | RIS | 376 | 5 | 2.010452 | 2001.00364,2001.02348,etc |
| 41 | model predictive control | MPC | 126 | 5 | 1.005363 | 2001.00450,2001.02244,etc |
| 42 | multiple access channel | MAC | 133 | 5 | 1.002284 | 2001.00607,2001.03753,etc |
| 43 | linear programming | LP | 56 | 5 | 1.001417 | 2001.00843,2001.01234,etc |
| 44 | user equipment | UE | 139 | 5 | 1.007225 | 2001.00914,2001.02447,etc |
| 45 | proper orthogonal decomposition | POD | 95 | 5 | 2.003525 | 2001.01158,2001.01958,etc |
| 46 | maximum likelihood estimator | MLE | 26 | 5 | 1.002584 | 2001.01166,2001.01194,etc |
| 47 | orthogonal frequency division multiplexing | OFDM | 196 | 5 | 1.009718 | 2001.01544,2001.02446,etc |
| 48 | stochastic gradient descent | SGD | 68 | 5 | 1.002303 | 2001.01700,2001.04860,etc |
| 49 | semidefinite program | SDP | 31 | 5 | 2.001261 | 2001.01887,2001.02183,etc |
| 50 | linear program | LP | 50 | 5 | 2.001226 | 2001.02183,2001.03913,etc |
| 51 | multiple input single output | MISO | 22 | 5 | 1.00062 | 2001.03206,2001.03753,etc |
| 52 | convolutional neural network | CNN | 13 | 4 | 1.00072 | 2001.00207,2001.02492,etc |
| 53 | linear quadratic regulator | LQR | 48 | 4 | 2.001393 | 2001.00306,2001.02244,etc |
| 54 | neural network | NN | 168 | 4 | 1.008695 | 2001.00342,2001.03814,etc |
| 55 | deep learning | DL | 126 | 4 | 2.002958 | 2001.00342,2001.02348,etc |
| 56 | finite element | FE | 48 | 4 | 2.001056 | 2001.00362,2001.03673,etc |
| 57 | left hand side | LHS | 7 | 4 | 1.000326 | 2001.00481,2001.03913,etc |
| 58 | block error rate | BLER | 38 | 4 | 2.000554 | 2001.00546,2001.01187,etc |
| 59 | restricted isometry property | RIP | 26 | 4 | 1.000827 | 2001.00639,2001.02855,etc |
| 60 | finite element method | FEM | 13 | 4 | 2.000404 | 2001.00649,2001.00940,etc |
| 61 | decode and forward | DF | 12 | 4 | 1.000878 | 2001.01193,2001.01257,etc |
| 62 | national research foundation of korea | NRF | 8 | 4 | 1.000344 | 2001.01544,2001.06321,etc |
| 63 | mean absolute error | MAE | 24 | 4 | 1.000803 | 2001.02246,2001.02492,etc |
| 64 | markov decision process | MDP | 73 | 4 | 2.001135 | 2001.02482,2001.02557,etc |
| 65 | kullback leibler | KL | 46 | 4 | 2.001556 | 2001.02748,2001.04341,etc |
| 66 | belief propagation | BP | 48 | 4 | 2.001567 | 2001.02854,2001.05117,etc |
| 67 | orthogonal multiple access | OMA | 280 | 4 | 2.009244 | 2001.03206,2001.03757,etc |
| 68 | approximate message passing | AMP | 52 | 4 | 2.002573 | 2001.03243,2001.03705,etc |
| 69 | primary user | PU | 150 | 3 | 2.004214 | 2001.00207,2001.02482,etc |
| 70 | sixth generation | 6G | 12 | 3 | 1.000557 | 2001.00364,2001.00481,etc |
| 71 | artificial intelligence | AI | 11 | 3 | 1.000514 | 2001.00364,2001.02500,etc |
| 72 | low density parity check | LDPC | 43 | 3 | 1.00221 | 2001.00611,2001.02854,etc |
| 73 | broadcast channel | BC | 36 | 3 | 2.000897 | 2001.00847,2001.03206,etc |
| 74 | long term evolution | LTE | 15 | 3 | 1.000187 | 2001.00914,2001.04840,etc |
| 75 | new radio | NR | 47 | 3 | 2.000752 | 2001.00914,2001.02446,etc |
| 76 | cyclic prefix | CP | 49 | 3 | 2.004837 | 2001.00914,2001.02446,etc |
| 77 | frequency division duplexing | FDD | 36 | 3 | 2.001735 | 2001.00914,2001.01257,etc |
| 78 | total variation | TV | 47 | 3 | 1.001529 | 2001.01053,2001.03039,etc |
| 79 | stochastic partial differential equation | SPDE | 31 | 3 | 1.000364 | 2001.01098,2001.02460,etc |
| 80 | king abdullah university of science and technology | KAUST | 5 | 3 | 1.000146 | 2001.01166,2001.01187,etc |
| 81 | channel state information at the transmitter | CSIT | 8 | 3 | 1.000245 | 2001.01255,2001.03206,etc |
| 82 | amplify and forward | AF | 53 | 3 | 1.006254 | 2001.01257,2001.02348,etc |
| 83 | positive semi definite | PSD | 13 | 3 | 1.000662 | 2001.01297,2001.02855,etc |
| 84 | topological data analysis | TDA | 10 | 3 | 1.003055 | 2001.01623,2001.02098,etc |
| 85 | maximum ratio transmission | MRT | 3 | 3 | 1.000102 | 2001.02348,2001.04554,etc |
| 86 | key performance indicator | KPI | 4 | 3 | 1.00025 | 2001.02446,2001.03323,etc |
| 87 | multilayer perceptron | MLP | 9 | 3 | 2.000706 | 2001.02492,2001.03814,etc |
| 88 | iterative hard thresholding | IHT | 118 | 3 | 2.003891 | 2001.02529,2001.07181,etc |
| 89 | computed tomography | CT | 88 | 3 | 2.003421 | 2001.02636,2001.05005,etc |
| 90 | peak signal to noise ratio | PSNR | 25 | 3 | 2.001427 | 2001.02636,2001.03803,etc |
| 91 | dynamic mode decomposition | DMD | 82 | 3 | 2.003889 | 2001.02790,2001.02795,etc |
| 92 | replica symmetric | RS | 25 | 3 | 1.001771 | 2001.02824,2001.04217,etc |
| 93 | frame error rate | FER | 53 | 3 | 2.002969 | 2001.02854,2001.04715,etc |
| 94 | binary erasure channel | BEC | 14 | 3 | 1.000741 | 2001.02854,2001.03423,etc |
| 95 | maximum distance separable | MDS | 18 | 3 | 2.000794 | 2001.02956,2001.04005,etc |
| 96 | orthogonal frequency division multiple access | OFDMA | 10 | 3 | 2.000174 | 2001.03282,2001.03913,etc |
| 97 | maddah ali and niesen | MAN | 60 | 3 | 2.00113 | 2001.03577,2001.04810,etc |
| 98 | time division multiple access | TDMA | 14 | 3 | 2.000135 | 2001.03757,2001.03913,etc |
| 99 | homogeneous poisson point process | HPPP | 20 | 3 | 1.000894 | 2001.03757,2001.04863,etc |
| 100 | large deviations principle | LDP | 23 | 3 | 2.000918 | 2001.03870,2001.03920,etc |
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