| partial differential equation | PDE | 399 | 24 | 2.003048 | 2006.00704,2006.01231,etc |
| signal to noise ratio | SNR | 195 | 19 | 1.00156 | 2006.00191,2006.00664,etc |
| base station | BS | 512 | 18 | 2.007544 | 2006.00664,2006.00899,etc |
| stochastic gradient descent | SGD | 463 | 18 | 1.003307 | 2006.01106,2006.01246,etc |
| channel state information | CSI | 185 | 16 | 2.002244 | 2006.00899,2006.01437,etc |
| theorem | Theorem | 462 | 15 | 2.001725 | 2006.00193,2006.01051,etc |
| ordinary differential equation | ODE | 124 | 15 | 1.000869 | 2006.00564,2006.02272,etc |
| multiple input multiple output | MIMO | 283 | 14 | 2.005706 | 2006.00664,2006.00899,etc |
| additive white gaussian noise | AWGN | 85 | 12 | 1.005317 | 2006.00344,2006.01437,etc |
| alternating direction method of multipliers | ADMM | 164 | 11 | 2.00336 | 2006.00601,2006.01604,etc |
| european research council | ERC | 20 | 11 | 1.000125 | 2006.00862,2006.02809,etc |
| deutsche forschungsgemeinschaft | DFG | 11 | 10 | 1.000073 | 2006.01920,2006.02274,etc |
| semidefinite programming | SDP | 206 | 9 | 2.002489 | 2006.00902,2006.01510,etc |
| line of sight | LoS | 69 | 9 | 1.003149 | 2006.01007,2006.01604,etc |
| non orthogonal multiple access | NOMA | 290 | 9 | 1.004841 | 2006.01437,2006.04581,etc |
| finite element method | FEM | 76 | 9 | 1.001956 | 2006.01641,2006.02549,etc |
| discontinuous galerkin | DG | 175 | 9 | 2.0046 | 2006.02549,2006.05250,etc |
| unmanned aerial vehicle | UAV | 603 | 8 | 2.011125 | 2006.00290,2006.01007,etc |
| signal to interference plus noise ratio | SINR | 50 | 8 | 1.001946 | 2006.01007,2006.01437,etc |
| deep neural network | DNN | 184 | 8 | 2.003352 | 2006.01032,2006.01641,etc |
| stochastic differential equation | SDE | 81 | 8 | 1.001711 | 2006.01106,2006.03047,etc |
| successive interference cancellation | SIC | 43 | 8 | 1.000555 | 2006.01437,2006.04581,etc |
| orthogonal multiple access | OMA | 412 | 8 | 2.005395 | 2006.01437,2006.04581,etc |
| cumulative distribution function | CDF | 30 | 8 | 1.000399 | 2006.04706,2006.04873,etc |
| lemma | Lemma | 144 | 8 | 2.00312 | 2006.04743,2006.05209,etc |
| probability density function | PDF | 13 | 6 | 1.000275 | 2006.00191,2006.06198,etc |
| karush kuhn tucker | KKT | 35 | 6 | 1.0004 | 2006.00191,2006.00328,etc |
| kullback leibler | KL | 100 | 6 | 2.002436 | 2006.00328,2006.02509,etc |
| intelligent reflecting surface | IRS | 216 | 6 | 2.005134 | 2006.00664,2006.01437,etc |
| two dimensional | 2D | 94 | 6 | 2.001935 | 2006.00686,2006.02979,etc |
| maximum likelihood estimator | MLE | 74 | 6 | 2.000569 | 2006.00704,2006.00840,etc |
| radio frequency | RF | 35 | 6 | 2.000915 | 2006.00899,2006.01437,etc |
| markov chain monte carlo | MCMC | 37 | 6 | 1.000968 | 2006.01714,2006.02281,etc |
| gradient descent | GD | 122 | 6 | 2.002783 | 2006.01816,2006.02499,etc |
| probability mass function | PMF | 70 | 5 | 1.005493 | 2006.00191,2006.00344,etc |
| backward stochastic differential equation | BSDE | 156 | 5 | 2.003193 | 2006.00222,2006.01496,etc |
| fast fourier transform | FFT | 10 | 5 | 1.00009 | 2006.00601,2006.00667,etc |
| decode and forward | DF | 36 | 5 | 1.001624 | 2006.00664,2006.01007,etc |
| quality of service | QoS | 62 | 5 | 1.000978 | 2006.01437,2006.01604,etc |
| initial boundary value problem | IBVP | 31 | 5 | 2.000396 | 2006.01498,2006.02283,etc |
| alternating optimization | AO | 17 | 5 | 1.001043 | 2006.01604,2006.02103,etc |
| boundary value problem | BVP | 41 | 5 | 2.001403 | 2006.01625,2006.02283,etc |
| model predictive control | MPC | 111 | 5 | 2.002885 | 2006.01702,2006.03795,etc |
| millimeter wave | mmWave | 74 | 5 | 2.002109 | 2006.02201,2006.05027,etc |
| partial differential equations | PDE | 35 | 5 | 1.000589 | 2006.02283,2006.06732,etc |
| linear programming | LP | 68 | 5 | 1.002313 | 2006.03213,2006.05202,etc |
| maximum likelihood | ML | 43 | 5 | 2.0022 | 2006.03311,2006.05084,etc |
| low density parity check | LDPC | 23 | 4 | 1.001259 | 2006.00070,2006.04897,etc |
| national science foundation | NSF | 8 | 4 | 1.000157 | 2006.00193,2006.00340,etc |
| poisson point process | PPP | 30 | 4 | 2.000681 | 2006.00290,2006.04706,etc |
| internet of things | IoT | 48 | 4 | 2.002091 | 2006.00290,2006.01437,etc |
| assumption | Assumption | 82 | 4 | 2.002987 | 2006.00558,2006.06946,etc |
| computed tomography | CT | 60 | 4 | 2.001684 | 2006.00601,2006.00686,etc |
| multiple input single output | MISO | 8 | 4 | 1.000763 | 2006.00664,2006.06984,etc |
| maximum ratio combining | MRC | 8 | 4 | 1.000109 | 2006.00664,2006.05184,etc |
| fifth generation | 5G | 20 | 4 | 2.000539 | 2006.00899,2006.04581,etc |
| mean square error | MSE | 62 | 4 | 1.00269 | 2006.01231,2006.02201,etc |
| enhanced mobile broadband | eMBB | 17 | 4 | 2.000332 | 2006.01437,2006.07765,etc |
| uplink | UL | 11 | 4 | 1.000342 | 2006.01437,2006.02103,etc |
| downlink | DL | 17 | 4 | 1.000535 | 2006.01437,2006.01641,etc |
| convolutional neural network | CNN | 55 | 4 | 1.001603 | 2006.01620,2006.03972,etc |
| central limit theorem | CLT | 75 | 4 | 2.001761 | 2006.02191,2006.02705,etc |
| courant friedrichs lewy | CFL | 14 | 4 | 1.000282 | 2006.02283,2006.06760,etc |
| left hand side | LHS | 9 | 4 | 1.000513 | 2006.02310,2006.06344,etc |
| generative adversarial network | GAN | 84 | 4 | 2.005488 | 2006.02377,2006.08141,etc |
| restricted isometry property | RIP | 25 | 4 | 1.000774 | 2006.02537,2006.04237,etc |
| dynamic programming | DP | 225 | 4 | 2.004802 | 2006.02910,2006.05520,etc |
| section | Section | 57 | 4 | 2.000255 | 2006.04743,2006.05211,etc |
| time division multiple access | TDMA | 17 | 4 | 2.000668 | 2006.04897,2006.05852,etc |
| hamilton jacobi bellman | HJB | 43 | 4 | 2.000598 | 2006.05250,2006.05577,etc |
| semidefinite relaxation | SDR | 15 | 4 | 1.000659 | 2006.05852,2006.06984,etc |
| differential evolution | DE | 153 | 3 | 1.010564 | 2006.00101,2006.00103,etc |
| proper orthogonal decomposition | POD | 105 | 3 | 2.006237 | 2006.00211,2006.04174,etc |
| algorithm | Algorithm | 84 | 3 | 2.003185 | 2006.00428,2006.07769,etc |
| neural network | NN | 14 | 3 | 1.000413 | 2006.00489,2006.02979,etc |
| total variation | TV | 36 | 3 | 2.000644 | 2006.00601,2006.01714,etc |
| relative error | RE | 16 | 3 | 1.000876 | 2006.00601,2006.01620,etc |
| peak signal to noise ratio | PSNR | 7 | 3 | 1.000245 | 2006.00601,2006.01620,etc |
| new radio | NR | 49 | 3 | 2.001308 | 2006.00899,2006.01437,etc |
| uniform linear array | ULA | 20 | 3 | 2.002078 | 2006.00899,2006.01604,etc |
| circularly symmetric complex gaussian | CSCG | 4 | 3 | 1.00012 | 2006.01007,2006.02103,etc |
| karhunen lo`eve | KL | 7 | 3 | 1.000044 | 2006.01231,2006.05647,etc |
| natural sciences and engineering research council of canada | NSERC | 4 | 3 | 1.000227 | 2006.01296,2006.02962,etc |
| multi input multi output | MIMO | 17 | 3 | 1.000961 | 2006.01437,2006.05266,etc |
| broadcast channel | BC | 12 | 3 | 1.000468 | 2006.01437,2006.04581,etc |
| massive machine type communications | mMTC | 13 | 3 | 2.000296 | 2006.01437,2006.08044,etc |
| degrees of freedom | DoF | 40 | 3 | 1.001736 | 2006.01437,2006.02310,etc |
| simultaneous wireless information and power transfer | SWIPT | 26 | 3 | 2.001226 | 2006.01437,2006.06917,etc |
| singular value decomposition | SVD | 5 | 3 | 1.000073 | 2006.01479,2006.03302,etc |
| three dimensional | 3D | 5 | 3 | 1.00006 | 2006.01604,2006.02979,etc |
| mean squared error | MSE | 43 | 3 | 2.002022 | 2006.01714,2006.05291,etc |
| geometric invariant theory | GIT | 82 | 3 | 2.004558 | 2006.01810,2006.06453,etc |
| scalar auxiliary variable | SAV | 27 | 3 | 1.0012 | 2006.02061,2006.05073,etc |
| sample average approximation | SAA | 23 | 3 | 1.000905 | 2006.02067,2006.06809,etc |
| markov decision process | MDP | 73 | 3 | 2.001031 | 2006.02067,2006.05520,etc |
| orthogonal frequency division multiplexing | OFDM | 112 | 3 | 2.010122 | 2006.02201,2006.04897,etc |
| rectified linear unit | ReLU | 26 | 3 | 2.000257 | 2006.02201,2006.06759,etc |
| generalized polynomial chaos | gPC | 12 | 3 | 1.000336 | 2006.02255,2006.02281,etc |
| finite difference | FD | 81 | 3 | 2.004451 | 2006.02509,2006.02962,etc |
| compressed sensing | CS | 8 | 3 | 1.000544 | 2006.02537,2006.06344,etc |
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