| theorem | Theorem | 620 | 22 | 2.002257 | 1807.01773,1807.07551,etc |
| base station | BS | 476 | 21 | 2.004394 | 1807.07707,1807.01432,etc |
| channel state information | CSI | 202 | 18 | 1.003419 | 1807.06695,1807.07707,etc |
| partial differential equation | PDE | 278 | 18 | 2.003393 | 1807.00653,1807.01610,etc |
| additive white gaussian noise | AWGN | 47 | 17 | 2.000627 | 1807.06695,1807.01432,etc |
| signal to noise ratio | SNR | 80 | 16 | 1.000884 | 1807.06695,1807.01432,etc |
| non orthogonal multiple access | NOMA | 582 | 13 | 2.007961 | 1807.07707,1807.07185,etc |
| internet of things | IoT | 126 | 11 | 1.005227 | 1807.06493,1807.08148,etc |
| millimeter wave | mmWave | 165 | 11 | 2.003482 | 1807.04851,1807.04852,etc |
| signal to interference plus noise ratio | SINR | 73 | 10 | 1.000976 | 1807.06695,1807.08143,etc |
| successive interference cancellation | SIC | 151 | 10 | 2.002151 | 1807.07707,1807.07185,etc |
| multiple input multiple output | MIMO | 99 | 10 | 1.004171 | 1807.01545,1807.01432,etc |
| line of sight | LOS | 100 | 9 | 1.001631 | 1807.06695,1807.03763,etc |
| quality of service | QoS | 92 | 9 | 1.003235 | 1807.07707,1807.08148,etc |
| semidefinite programming | SDP | 73 | 9 | 1.001084 | 1807.05387,1807.02306,etc |
| karush kuhn tucker | KKT | 17 | 9 | 1.000334 | 1807.06810,1807.08146,etc |
| finite element method | FEM | 115 | 8 | 2.004048 | 1807.00653,1807.07764,etc |
| ordinary differential equation | ODE | 42 | 8 | 1.000264 | 1807.02991,1807.02306,etc |
| lemma | Lemma | 283 | 8 | 2.002143 | 1807.00757,1807.00730,etc |
| fifth generation | 5G | 17 | 8 | 1.000454 | 1807.08148,1807.00935,etc |
| probability density function | PDF | 38 | 8 | 1.000975 | 1807.08148,1807.08146,etc |
| orthogonal multiple access | OMA | 588 | 7 | 2.0072 | 1807.07707,1807.08143,etc |
| total variation | TV | 49 | 7 | 2.001011 | 1807.05595,1807.02038,etc |
| zero forcing | ZF | 105 | 7 | 1.003953 | 1807.03872,1807.07185,etc |
| low density parity check | LDPC | 23 | 7 | 1.000506 | 1807.02913,1807.07711,etc |
| bit error rate | BER | 94 | 7 | 2.003246 | 1807.02913,1807.04851,etc |
| orthogonal frequency division multiplexing | OFDM | 58 | 6 | 1.004577 | 1807.06695,1807.05525,etc |
| minimum mean square error | MMSE | 95 | 6 | 2.006147 | 1807.06695,1807.07711,etc |
| stochastic gradient descent | SGD | 121 | 6 | 2.004573 | 1807.00653,1807.07680,etc |
| fast fourier transform | FFT | 16 | 6 | 2.000784 | 1807.01545,1807.00091,etc |
| single input single output | SISO | 35 | 6 | 2.000503 | 1807.03256,1807.00114,etc |
| radio frequency | RF | 34 | 6 | 1.00201 | 1807.06493,1807.01660,etc |
| cumulative distribution function | CDF | 48 | 6 | 2.000885 | 1807.05296,1807.05718,etc |
| markov chain monte carlo | MCMC | 251 | 6 | 2.004079 | 1807.05505,1807.06258,etc |
| poisson point process | PPP | 28 | 5 | 2.000513 | 1807.00260,1807.00486,etc |
| maximum a posteriori | MAP | 44 | 5 | 2.001042 | 1807.03912,1807.06846,etc |
| user equipment | UE | 205 | 5 | 1.003061 | 1807.00738,1807.08146,etc |
| maximum likelihood | ML | 79 | 5 | 1.002904 | 1807.07711,1807.05525,etc |
| mobile edge computing | MEC | 90 | 5 | 1.004958 | 1807.06810,1807.05718,etc |
| markov decision process | MDP | 271 | 5 | 2.004705 | 1807.03223,1807.02994,etc |
| linear matrix inequality | LMI | 14 | 5 | 1.00034 | 1807.07223,1807.01185,etc |
| multi input multi output | MIMO | 76 | 5 | 2.005334 | 1807.04851,1807.02151,etc |
| model predictive control | MPC | 162 | 5 | 2.00608 | 1807.06108,1807.03214,etc |
| stochastic differential equation | SDE | 18 | 4 | 1.000394 | 1807.06226,1807.06878,etc |
| european research council | ERC | 4 | 4 | 1.000043 | 1807.04144,1807.00739,etc |
| gaussian free field | GFF | 124 | 4 | 2.00063 | 1807.07511,1807.01512,etc |
| multiple access channel | MAC | 125 | 4 | 2.003915 | 1807.05997,1807.00474,etc |
| singular value decomposition | SVD | 95 | 4 | 1.008529 | 1807.07185,1807.00045,etc |
| non line of sight | NLOS | 31 | 4 | 1.000867 | 1807.03763,1807.04852,etc |
| log likelihood ratio | LLR | 30 | 4 | 1.003219 | 1807.06846,1807.04854,etc |
| discontinuous galerkin | DG | 64 | 4 | 1.00274 | 1807.00246,1807.07345,etc |
| uniform linear array | ULA | 17 | 4 | 1.000596 | 1807.04852,1807.08218,etc |
| alternating direction method of multipliers | ADMM | 43 | 4 | 2.000994 | 1807.02878,1807.03214,etc |
| cyclic prefix | CP | 15 | 3 | 1.00051 | 1807.06695,1807.07438,etc |
| quantities of interest | QoI | 37 | 3 | 2.001446 | 1807.00653,1807.05319,etc |
| trust region subproblem | TRS | 169 | 3 | 2.00633 | 1807.05387,1807.07264,etc |
| finite element | FE | 41 | 3 | 2.000725 | 1807.05078,1807.01118,etc |
| compressed sensing | CS | 7 | 3 | 1.000575 | 1807.05595,1807.01660,etc |
| successive cancellation | SC | 179 | 3 | 2.00847 | 1807.03912,1807.01451,etc |
| enhanced mobile broadband | eMBB | 3 | 3 | 1.000073 | 1807.03912,1807.03767,etc |
| national science foundation | NSF | 3 | 3 | 1.000189 | 1807.01545,1807.03055,etc |
| degrees of freedom | DoF | 156 | 3 | 2.001615 | 1807.01432,1807.06004,etc |
| successive interference cancelation | SIC | 9 | 3 | 1.000988 | 1807.03872,1807.08146,etc |
| three dimensional | 3D | 3 | 3 | 1.000034 | 1807.08235,1807.04395,etc |
| deep neural network | DNN | 139 | 3 | 2.006717 | 1807.08235,1807.03973,etc |
| hamilton jacobi bellman | HJB | 67 | 3 | 2.001274 | 1807.01083,1807.04795,etc |
| multiple input single output | MISO | 42 | 3 | 2.001003 | 1807.07185,1807.00114,etc |
| long term evolution | LTE | 8 | 3 | 2.000182 | 1807.08148,1807.03642,etc |
| uplink | UL | 40 | 3 | 2.003908 | 1807.00738,1807.04473,etc |
| angle of arrival | AoA | 16 | 3 | 1.000146 | 1807.02488,1807.07438,etc |
| generalized riemann hypothesis | GRH | 9 | 3 | 1.00065 | 1807.00797,1807.05270,etc |
| eavesdropper | Eve | 62 | 3 | 2.00256 | 1807.00935,1807.01556,etc |
| uncertainty quantification | UQ | 14 | 3 | 1.000477 | 1807.06133,1807.00375,etc |
| maximum distance separable | MDS | 37 | 3 | 1.005844 | 1807.03166,1807.05473,etc |
| conjugate gradient | CG | 6 | 3 | 1.000212 | 1807.01660,1807.05499,etc |
| optimal power flow | OPF | 40 | 3 | 1.00488 | 1807.05460,1807.03936,etc |
| unmanned aerial vehicle | UAV | 245 | 3 | 2.008767 | 1807.05177,1807.08218,etc |
| identically distributed | IID | 12 | 3 | 2.000167 | 1807.08146,1807.07034,etc |
| linear program | LP | 29 | 3 | 1.000498 | 1807.03548,1807.07193,etc |
| semi tensor product | STP | 28 | 3 | 2.00201 | 1807.05779,1807.07864,etc |
| sequential quadratic programming | SQP | 4 | 3 | 1.000083 | 1807.04474,1807.03214,etc |
| maximum likelihood estimation | MLE | 27 | 3 | 2.000917 | 1807.07237,1807.00022,etc |
| nonlinear schr"odinger | NLS | 33 | 3 | 1.000758 | 1807.07366,1807.06937,etc |
| time division multiple access | TDMA | 7 | 3 | 1.00036 | 1807.03745,1807.02151,etc |
| probability distribution function | PDF | 23 | 3 | 2.00127 | 1807.03745,1807.07200,etc |
| stochastic partial differential equation | SPDE | 12 | 3 | 1.000333 | 1807.06878,1807.02394,etc |
| decode and forward | DF | 6 | 3 | 1.000283 | 1807.04395,1807.03642,etc |
| reproducing kernel hilbert space | RKHS | 35 | 3 | 1.001938 | 1807.03829,1807.04111,etc |
| orthogonal frequency division multiple access | OFDMA | 3 | 3 | 1.000007 | 1807.08218,1807.03293,etc |
| linear time invariant | LTI | 22 | 3 | 2.001123 | 1807.07212,1807.01739,etc |
| belief propagation | BP | 73 | 3 | 2.005512 | 1807.03767,1807.01599,etc |
| access point | AP | 31 | 3 | 2.001961 | 1807.02425,1807.00327,etc |