| theorem | Theorem | 913 | 28 | 2.002332 | 1809.05469,1809.01248,etc |
| signal to noise ratio | SNR | 151 | 24 | 1.00186 | 1809.03367,1809.01503,etc |
| base station | BS | 451 | 22 | 2.004819 | 1809.03367,1809.03014,etc |
| additive white gaussian noise | AWGN | 62 | 20 | 1.001388 | 1809.01503,1809.00966,etc |
| partial differential equation | PDE | 189 | 16 | 2.001784 | 1809.06195,1809.00324,etc |
| channel state information | CSI | 214 | 15 | 2.002192 | 1809.01503,1809.02893,etc |
| radio frequency | RF | 217 | 14 | 2.003685 | 1809.03367,1809.01503,etc |
| line of sight | LOS | 206 | 14 | 1.003155 | 1809.01503,1809.01583,etc |
| internet of things | IoT | 35 | 14 | 1.000425 | 1809.04963,1809.06699,etc |
| fifth generation | 5G | 35 | 13 | 1.000809 | 1809.01583,1809.02893,etc |
| quality of service | QoS | 43 | 12 | 2.000525 | 1809.01711,1809.04963,etc |
| stochastic differential equation | SDE | 150 | 11 | 2.0023 | 1809.02448,1809.01210,etc |
| singular value decomposition | SVD | 89 | 11 | 1.002604 | 1809.02448,1809.03367,etc |
| multiple input multiple output | MIMO | 149 | 11 | 1.004432 | 1809.01503,1809.01583,etc |
| karush kuhn tucker | KKT | 46 | 11 | 1.000583 | 1809.05032,1809.03657,etc |
| signal to interference plus noise ratio | SINR | 59 | 10 | 2.001863 | 1809.01583,1809.02893,etc |
| minimum mean square error | MMSE | 53 | 9 | 2.000898 | 1809.03367,1809.06332,etc |
| hamilton jacobi bellman | HJB | 49 | 9 | 2.000996 | 1809.04410,1809.01970,etc |
| unmanned aerial vehicle | UAV | 703 | 9 | 2.011642 | 1809.04963,1809.01710,etc |
| maximum likelihood | ML | 142 | 9 | 2.003237 | 1809.05073,1809.04253,etc |
| ordinary differential equation | ODE | 40 | 8 | 1.000408 | 1809.02448,1809.01210,etc |
| millimeter wave | mmWave | 127 | 8 | 1.003068 | 1809.03367,1809.03014,etc |
| principal component analysis | PCA | 44 | 7 | 1.001614 | 1809.03367,1809.05032,etc |
| mean square error | MSE | 62 | 7 | 1.001344 | 1809.03367,1809.02920,etc |
| probability density function | PDF | 78 | 7 | 1.001993 | 1809.01503,1809.03263,etc |
| amplify and forward | AF | 28 | 7 | 2.000896 | 1809.01503,1809.02893,etc |
| non orthogonal multiple access | NOMA | 279 | 7 | 2.006645 | 1809.02893,1809.03657,etc |
| alternating direction method of multipliers | ADMM | 181 | 7 | 2.004865 | 1809.07399,1809.01603,etc |
| european research council | ERC | 6 | 6 | 1.000038 | 1809.02448,1809.06110,etc |
| uniform linear array | ULA | 11 | 6 | 1.00041 | 1809.03005,1809.03751,etc |
| access point | AP | 231 | 6 | 2.006086 | 1809.04263,1809.01583,etc |
| cumulative distribution function | CDF | 34 | 6 | 1.001474 | 1809.04263,1809.01503,etc |
| gaussian free field | GFF | 83 | 6 | 1.001027 | 1809.02075,1809.02091,etc |
| multiple input single output | MISO | 45 | 6 | 1.001608 | 1809.01503,1809.01423,etc |
| two dimensional | 2D | 36 | 6 | 1.000825 | 1809.04963,1809.00890,etc |
| single input single output | SISO | 9 | 6 | 1.000145 | 1809.00434,1809.01306,etc |
| spectral efficiency | SE | 108 | 5 | 2.002731 | 1809.03367,1809.03378,etc |
| orthogonal matching pursuit | OMP | 50 | 5 | 2.002183 | 1809.03367,1809.03378,etc |
| approximate message passing | AMP | 166 | 5 | 1.008916 | 1809.03682,1809.03784,etc |
| fast fourier transform | FFT | 14 | 5 | 2.000254 | 1809.03682,1809.03700,etc |
| three dimensional | 3D | 9 | 5 | 1.000181 | 1809.04963,1809.03657,etc |
| mean squared error | MSE | 56 | 5 | 2.001425 | 1809.01733,1809.01317,etc |
| lemma | Lemma | 127 | 5 | 2.00119 | 1809.02022,1809.02091,etc |
| poisson point process | PPP | 53 | 5 | 1.002892 | 1809.02405,1809.02981,etc |
| zero forcing | ZF | 24 | 5 | 1.000548 | 1809.06332,1809.03117,etc |
| algorithm | Algorithm | 69 | 5 | 2.001514 | 1809.07453,1809.07463,etc |
| finite element method | FEM | 29 | 4 | 1.001086 | 1809.07583,1809.03377,etc |
| decode and forward | DF | 44 | 4 | 1.002593 | 1809.01503,1809.02893,etc |
| reinforcement learning | RL | 17 | 4 | 1.000513 | 1809.03014,1809.01583,etc |
| national research foundation of korea | NRF | 7 | 4 | 1.00022 | 1809.05830,1809.04307,etc |
| linear programming | LP | 32 | 4 | 2.000781 | 1809.00966,1809.01572,etc |
| user equipment | UE | 267 | 4 | 2.007259 | 1809.01583,1809.03657,etc |
| belief propagation | BP | 22 | 4 | 1.000726 | 1809.04662,1809.03682,etc |
| convolutional neural network | CNN | 168 | 4 | 1.008803 | 1809.00973,1809.03682,etc |
| wireless power transfer | WPT | 53 | 4 | 2.002003 | 1809.04963,1809.01430,etc |
| left hand side | LHS | 5 | 4 | 1.000216 | 1809.04963,1809.02022,etc |
| stochastic partial differential equation | SPDE | 54 | 4 | 2.001293 | 1809.06234,1809.03035,etc |
| successive convex approximation | SCA | 57 | 4 | 2.000807 | 1809.03751,1809.03657,etc |
| semidefinite relaxation | SDR | 35 | 4 | 2.0005 | 1809.03751,1809.01423,etc |
| conformal field theory | CFT | 41 | 4 | 2.000458 | 1809.05568,1809.07868,etc |
| efficiency | EE | 99 | 4 | 2.001988 | 1809.01710,1809.03378,etc |
| linear program | LP | 82 | 4 | 1.004773 | 1809.05794,1809.01430,etc |
| expectation maximization | EM | 42 | 4 | 1.002126 | 1809.03069,1809.03784,etc |
| simultaneous wireless information and power transfer | SWIPT | 73 | 4 | 2.003864 | 1809.01430,1809.07682,etc |
| time division multiple access | TDMA | 56 | 4 | 2.000966 | 1809.01430,1809.07453,etc |
| maximum distance separable | MDS | 53 | 4 | 2.004157 | 1809.06844,1809.06648,etc |
| bit error rate | BER | 9 | 3 | 1.000707 | 1809.03367,1809.04662,etc |
| compressive sensing | CS | 18 | 3 | 2.001635 | 1809.03367,1809.03784,etc |
| angles of arrival | AoA | 8 | 3 | 1.000024 | 1809.03367,1809.03378,etc |
| angles of departure | AoD | 7 | 3 | 1.000397 | 1809.03367,1809.03751,etc |
| korteweg de vries | KdV | 19 | 3 | 2.000999 | 1809.06292,1809.02536,etc |
| backward stochastic differential equation | BSDE | 75 | 3 | 1.002878 | 1809.00325,1809.00324,etc |
| receiver operating characteristic | ROC | 13 | 3 | 1.00067 | 1809.04263,1809.01455,etc |
| log likelihood ratio | LLR | 59 | 3 | 2.001206 | 1809.04263,1809.06707,etc |
| medium access control | MAC | 4 | 3 | 1.000084 | 1809.01711,1809.00418,etc |
| transmit antenna selection | TAS | 72 | 3 | 1.003567 | 1809.01503,1809.01306,etc |
| maximal ratio combining | MRC | 6 | 3 | 1.000258 | 1809.01503,1809.01306,etc |
| non line of sight | NLOS | 45 | 3 | 1.002726 | 1809.03014,1809.06699,etc |
| summation by parts | SBP | 211 | 3 | 2.006812 | 1809.01178,1809.02704,etc |
| ultra reliable low latency communications | uRLLC | 3 | 3 | 1.000137 | 1809.00966,1809.01583,etc |
| frequency division multiple access | FDMA | 22 | 3 | 2.000718 | 1809.00966,1809.01430,etc |
| downlink | DL | 30 | 3 | 1.003452 | 1809.01583,1809.03706,etc |
| orthogonal frequency division multiplexing | OFDM | 35 | 3 | 1.002099 | 1809.03682,1809.06059,etc |
| successive interference cancellation | SIC | 10 | 3 | 1.000052 | 1809.02893,1809.07682,etc |
| mobile edge computing | MEC | 17 | 3 | 1.00142 | 1809.04963,1809.01430,etc |
| first in first out | FIFO | 29 | 3 | 2.001066 | 1809.01970,1809.07665,etc |
| istituto nazionale di alta matematica | INdAM | 3 | 3 | 1.000084 | 1809.03034,1809.03948,etc |
| model predictive control | MPC | 42 | 3 | 2.003398 | 1809.06540,1809.01244,etc |
| deep learning | DL | 85 | 3 | 2.007738 | 1809.01733,1809.07224,etc |
| stochastic gradient descent | SGD | 26 | 3 | 2.001307 | 1809.02923,1809.03986,etc |
| finite element | FE | 17 | 3 | 2.000306 | 1809.03790,1809.01516,etc |
| kullback leibler | KL | 18 | 3 | 2.000637 | 1809.05572,1809.05990,etc |
| alternating direction method of multiplier | ADMM | 63 | 3 | 2.001957 | 1809.01346,1809.06156,etc |
| markov decision process | MDP | 37 | 3 | 2.00188 | 1809.05867,1809.01254,etc |
| kurdyka lojasiewicz | KL | 13 | 3 | 1.000764 | 1809.07399,1809.05990,etc |
| liouville quantum gravity | LQG | 76 | 3 | 1.001263 | 1809.02091,1809.02092,etc |
| total variation | TV | 21 | 3 | 2.000114 | 1809.06494,1809.02939,etc |
| discontinuous galerkin | DG | 43 | 3 | 2.002092 | 1809.06494,1809.05189,etc |
| initial value problem | IVP | 16 | 3 | 1.000693 | 1809.04307,1809.04530,etc |
| markov chain monte carlo | MCMC | 13 | 3 | 2.000406 | 1809.03069,1809.05952,etc |
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