| partial differential equation | PDE | 336 | 25 | 2.003024 | 2001.00167,2001.00178,etc |
| signal to noise ratio | SNR | 126 | 23 | 1.001164 | 2001.00207,2001.00342,etc |
| channel state information | CSI | 300 | 20 | 2.003648 | 2001.00364,2001.00607,etc |
| base station | BS | 630 | 19 | 2.005967 | 2001.00347,2001.00351,etc |
| multiple input multiple output | MIMO | 244 | 14 | 2.002849 | 2001.00342,2001.00347,etc |
| internet of things | IoT | 268 | 14 | 1.005901 | 2001.00364,2001.00767,etc |
| additive white gaussian noise | AWGN | 69 | 14 | 2.000784 | 2001.00481,2001.00546,etc |
| unmanned aerial vehicle | UAV | 921 | 12 | 1.01334 | 2001.00351,2001.00364,etc |
| line of sight | loS | 117 | 12 | 1.002099 | 2001.00351,2001.00364,etc |
| stochastic differential equation | SDE | 233 | 12 | 2.009854 | 2001.00408,2001.00665,etc |
| maximum likelihood | ML | 185 | 12 | 1.005075 | 2001.00546,2001.00607,etc |
| european research council | ERC | 14 | 12 | 1.000218 | 2001.01792,2001.02934,etc |
| signal to interference plus noise ratio | SINR | 216 | 11 | 1.004781 | 2001.00347,2001.01255,etc |
| ordinary differential equation | ODE | 146 | 11 | 1.002963 | 2001.00389,2001.01307,etc |
| theorem | Theorem | 603 | 11 | 2.001898 | 2001.00843,2001.00849,etc |
| millimeter wave | mmWave | 183 | 10 | 1.007425 | 2001.00347,2001.00364,etc |
| singular value decomposition | SVD | 158 | 9 | 1.003829 | 2001.00046,2001.00801,etc |
| bit error rate | BER | 63 | 9 | 2.001256 | 2001.00342,2001.01187,etc |
| successive interference cancellation | SIC | 130 | 9 | 2.004869 | 2001.00607,2001.03206,etc |
| binary symmetric channel | BSC | 49 | 9 | 1.002107 | 2001.00847,2001.01159,etc |
| fifth generation | 5G | 19 | 8 | 1.00025 | 2001.00207,2001.00364,etc |
| quality of service | QoS | 32 | 8 | 1.00077 | 2001.00207,2001.00914,etc |
| deep neural network | DNN | 27 | 8 | 1.00052 | 2001.00207,2001.00364,etc |
| karush kuhn tucker | KKT | 39 | 8 | 1.000753 | 2001.00306,2001.00481,etc |
| access point | AP | 496 | 8 | 2.010697 | 2001.00351,2001.02348,etc |
| alternating direction method of multipliers | ADMM | 243 | 8 | 1.008351 | 2001.00509,2001.00708,etc |
| mean squared error | MSE | 102 | 8 | 1.002423 | 2001.00607,2001.00612,etc |
| discrete memoryless channel | DMC | 21 | 8 | 1.000728 | 2001.01201,2001.02854,etc |
| non orthogonal multiple access | NOMA | 349 | 8 | 2.005635 | 2001.03206,2001.03323,etc |
| three dimensional | 3D | 64 | 7 | 1.002551 | 2001.00481,2001.01053,etc |
| probability density function | PDF | 28 | 7 | 1.000428 | 2001.01187,2001.01935,etc |
| principal component analysis | PCA | 40 | 7 | 1.002626 | 2001.01958,2001.02774,etc |
| deutsche forschungsgemeinschaft | DFG | 8 | 7 | 1.000138 | 2001.04108,2001.04294,etc |
| machine learning | ML | 40 | 6 | 1.002322 | 2001.00207,2001.02500,etc |
| radio frequency | RF | 131 | 6 | 1.005102 | 2001.00347,2001.00364,etc |
| successive convex approximation | SCA | 84 | 6 | 2.000988 | 2001.00351,2001.00481,etc |
| intelligent reflecting surface | IRS | 389 | 6 | 2.012114 | 2001.00364,2001.01887,etc |
| central limit theorem | CLT | 54 | 6 | 2.004065 | 2001.00397,2001.02110,etc |
| age of information | AoI | 386 | 6 | 2.002037 | 2001.01122,2001.01234,etc |
| degrees of freedom | DoF | 240 | 6 | 2.006058 | 2001.01255,2001.04358,etc |
| angle of departure | AoD | 48 | 6 | 2.002355 | 2001.03206,2001.04863,etc |
| private information retrieval | PIR | 192 | 6 | 2.004948 | 2001.03753,2001.03843,etc |
| angle of arrival | AoA | 45 | 6 | 2.001015 | 2001.04554,2001.04840,etc |
| discontinuous galerkin | DG | 111 | 5 | 2.002206 | 2001.00169,2001.03825,etc |
| linear time invariant | LTI | 12 | 5 | 1.000417 | 2001.00306,2001.00708,etc |
| zero forcing | ZF | 18 | 5 | 1.000762 | 2001.00342,2001.03206,etc |
| spectral efficiency | SE | 145 | 5 | 2.006272 | 2001.00347,2001.02446,etc |
| difference of convex | DC | 20 | 5 | 1.000937 | 2001.00351,2001.01906,etc |
| reconfigurable intelligent surface | RIS | 376 | 5 | 2.010452 | 2001.00364,2001.02348,etc |
| model predictive control | MPC | 126 | 5 | 1.005363 | 2001.00450,2001.02244,etc |
| multiple access channel | MAC | 133 | 5 | 1.002284 | 2001.00607,2001.03753,etc |
| linear programming | LP | 56 | 5 | 1.001417 | 2001.00843,2001.01234,etc |
| user equipment | UE | 139 | 5 | 1.007225 | 2001.00914,2001.02447,etc |
| cumulative distribution function | CDF | 12 | 5 | 1.002038 | 2001.00914,2001.01187,etc |
| proper orthogonal decomposition | POD | 95 | 5 | 2.003525 | 2001.01158,2001.01958,etc |
| maximum likelihood estimator | MLE | 26 | 5 | 1.002584 | 2001.01166,2001.01194,etc |
| orthogonal frequency division multiplexing | OFDM | 196 | 5 | 1.009718 | 2001.01544,2001.02446,etc |
| stochastic gradient descent | SGD | 68 | 5 | 1.002303 | 2001.01700,2001.04860,etc |
| semidefinite program | SDP | 31 | 5 | 2.001261 | 2001.01887,2001.02183,etc |
| random variable | RV | 57 | 5 | 2.00462 | 2001.02110,2001.02447,etc |
| linear program | LP | 50 | 5 | 2.001226 | 2001.02183,2001.03913,etc |
| multiple input single output | MISO | 22 | 5 | 1.00062 | 2001.03206,2001.03753,etc |
| convolutional neural network | CNN | 13 | 4 | 1.00072 | 2001.00207,2001.02492,etc |
| linear quadratic regulator | LQR | 48 | 4 | 2.001393 | 2001.00306,2001.02244,etc |
| neural network | NN | 168 | 4 | 1.008695 | 2001.00342,2001.03814,etc |
| deep learning | DL | 126 | 4 | 2.002958 | 2001.00342,2001.02348,etc |
| finite element | FE | 48 | 4 | 2.001056 | 2001.00362,2001.03673,etc |
| left hand side | LHS | 7 | 4 | 1.000326 | 2001.00481,2001.03913,etc |
| block error rate | BLER | 38 | 4 | 2.000554 | 2001.00546,2001.01187,etc |
| restricted isometry property | RIP | 26 | 4 | 1.000827 | 2001.00639,2001.02855,etc |
| finite element method | FEM | 13 | 4 | 2.000404 | 2001.00649,2001.00940,etc |
| fast fourier transform | FFT | 63 | 4 | 2.000772 | 2001.00914,2001.01053,etc |
| discrete fourier transform | DFT | 52 | 4 | 2.002055 | 2001.00914,2001.01544,etc |
| decode and forward | DF | 12 | 4 | 1.000878 | 2001.01193,2001.01257,etc |
| national research foundation of korea | NRF | 8 | 4 | 1.000344 | 2001.01544,2001.06321,etc |
| algorithm | Algorithm | 71 | 4 | 2.000848 | 2001.02183,2001.02492,etc |
| mean absolute error | MAE | 24 | 4 | 1.000803 | 2001.02246,2001.02492,etc |
| markov decision process | MDP | 73 | 4 | 2.001135 | 2001.02482,2001.02557,etc |
| kullback leibler | KL | 46 | 4 | 2.001556 | 2001.02748,2001.04341,etc |
| belief propagation | BP | 48 | 4 | 2.001567 | 2001.02854,2001.05117,etc |
| orthogonal multiple access | OMA | 280 | 4 | 2.009244 | 2001.03206,2001.03757,etc |
| approximate message passing | AMP | 52 | 4 | 2.002573 | 2001.03243,2001.03705,etc |
| primary user | PU | 150 | 3 | 2.004214 | 2001.00207,2001.02482,etc |
| efficiency | EE | 103 | 3 | 1.006793 | 2001.00347,2001.03206,etc |
| sixth generation | 6G | 12 | 3 | 1.000557 | 2001.00364,2001.00481,etc |
| artificial intelligence | AI | 11 | 3 | 1.000514 | 2001.00364,2001.02500,etc |
| root mean square error | RMSE | 11 | 3 | 1.000109 | 2001.00450,2001.02246,etc |
| low density parity check | LDPC | 43 | 3 | 1.00221 | 2001.00611,2001.02854,etc |
| broadcast channel | BC | 36 | 3 | 2.000897 | 2001.00847,2001.03206,etc |
| long term evolution | LTE | 15 | 3 | 1.000187 | 2001.00914,2001.04840,etc |
| new radio | NR | 47 | 3 | 2.000752 | 2001.00914,2001.02446,etc |
| cyclic prefix | CP | 49 | 3 | 2.004837 | 2001.00914,2001.02446,etc |
| frequency division duplexing | FDD | 36 | 3 | 2.001735 | 2001.00914,2001.01257,etc |
| total variation | TV | 47 | 3 | 1.001529 | 2001.01053,2001.03039,etc |
| stochastic partial differential equation | SPDE | 31 | 3 | 1.000364 | 2001.01098,2001.02460,etc |
| king abdullah university of science and technology | KAUST | 5 | 3 | 1.000146 | 2001.01166,2001.01187,etc |
| degree of freedom | DoF | 3 | 3 | 1.000047 | 2001.01193,2001.04970,etc |
| channel state information at the transmitter | CSIT | 8 | 3 | 1.000245 | 2001.01255,2001.03206,etc |
| amplify and forward | AF | 53 | 3 | 1.006254 | 2001.01257,2001.02348,etc |
| positive semi definite | PSD | 13 | 3 | 1.000662 | 2001.01297,2001.02855,etc |
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