| partial differential equation | PDE | 371 | 34 | 1.002174 | 1912.00394,1912.00481,etc |
| base station | BS | 549 | 21 | 2.003729 | 1912.00005,1912.00406,etc |
| signal to noise ratio | SNR | 175 | 17 | 1.001826 | 1912.00005,1912.00021,etc |
| multiple input multiple output | MIMO | 192 | 16 | 2.002316 | 1912.00485,1912.00728,etc |
| stochastic differential equation | SDE | 140 | 14 | 2.002484 | 1912.00304,1912.00440,etc |
| ordinary differential equation | ODE | 174 | 14 | 1.002571 | 1912.00394,1912.00561,etc |
| additive white gaussian noise | AWGN | 32 | 13 | 1.000366 | 1912.00005,1912.00098,etc |
| karush kuhn tucker | KKT | 128 | 13 | 1.002306 | 1912.00220,1912.00406,etc |
| theorem | Theorem | 264 | 13 | 2.001144 | 1912.00506,1912.00564,etc |
| channel state information | CSI | 293 | 12 | 2.003705 | 1912.00005,1912.00406,etc |
| probability density function | PDF | 198 | 12 | 2.004587 | 1912.00394,1912.00406,etc |
| line of sight | LoS | 134 | 12 | 1.001621 | 1912.00410,1912.00728,etc |
| quality of service | QoS | 47 | 11 | 1.001497 | 1912.00406,1912.01319,etc |
| radio frequency | RF | 120 | 11 | 1.003186 | 1912.01497,1912.01727,etc |
| stochastic gradient descent | SGD | 77 | 10 | 1.00123 | 1912.00304,1912.00561,etc |
| linear programming | LP | 159 | 9 | 2.001014 | 1912.00356,1912.01082,etc |
| singular value decomposition | SVD | 71 | 9 | 2.001426 | 1912.00406,1912.01642,etc |
| mean squared error | MSE | 101 | 8 | 1.00376 | 1912.00005,1912.00976,etc |
| unmanned aerial vehicle | UAV | 848 | 8 | 2.01022 | 1912.00021,1912.00437,etc |
| bit error rate | BER | 42 | 8 | 1.00156 | 1912.00098,1912.00976,etc |
| deep neural network | DNN | 49 | 8 | 1.001331 | 1912.00304,1912.01319,etc |
| european research council | ERC | 8 | 8 | 1.000088 | 1912.00389,1912.00401,etc |
| kullback leibler | KL | 83 | 7 | 1.003461 | 1912.00098,1912.00428,etc |
| alternating direction method of multipliers | ADMM | 79 | 7 | 1.001699 | 1912.00137,1912.00428,etc |
| fifth generation | 5G | 25 | 7 | 1.000881 | 1912.00406,1912.00728,etc |
| millimeter wave | mmWave | 108 | 7 | 2.002265 | 1912.00728,1912.01767,etc |
| internet of things | IoT | 31 | 7 | 1.000664 | 1912.01459,1912.02298,etc |
| multiple input single output | MISO | 112 | 7 | 2.002331 | 1912.01497,1912.01818,etc |
| deutsche forschungsgemeinschaft | DFG | 11 | 7 | 1.000164 | 1912.01866,1912.02859,etc |
| discontinuous galerkin | DG | 111 | 6 | 1.002999 | 1912.00044,1912.00496,etc |
| markov decision process | MDP | 172 | 6 | 2.003625 | 1912.00304,1912.02946,etc |
| fast fourier transform | FFT | 49 | 6 | 2.000938 | 1912.00394,1912.00428,etc |
| conjugate gradient | CG | 117 | 6 | 2.002104 | 1912.00496,1912.02122,etc |
| mixed integer linear program | MILP | 21 | 6 | 1.000301 | 1912.01039,1912.02455,etc |
| successive convex approximation | SCA | 28 | 6 | 1.000468 | 1912.01228,1912.01497,etc |
| user equipment | UE | 136 | 6 | 2.008757 | 1912.01767,1912.02718,etc |
| three dimensional | 3D | 54 | 5 | 1.001947 | 1912.00021,1912.04135,etc |
| signal to interference plus noise ratio | SINR | 95 | 5 | 2.003167 | 1912.00021,1912.00220,etc |
| reinforcement learning | RL | 41 | 5 | 1.001124 | 1912.00304,1912.02270,etc |
| successive interference cancellation | SIC | 65 | 5 | 2.002936 | 1912.00406,1912.01980,etc |
| orthogonal frequency division multiplexing | OFDM | 18 | 5 | 1.000873 | 1912.00410,1912.01818,etc |
| intelligent reflecting surface | IRS | 850 | 5 | 2.002381 | 1912.00728,1912.01228,etc |
| central limit theorem | CLT | 43 | 5 | 2.000591 | 1912.01366,1912.04858,etc |
| quadratically constrained quadratic program | QCQP | 19 | 5 | 1.00084 | 1912.01818,1912.02152,etc |
| expectation maximization | EM | 41 | 5 | 1.003007 | 1912.02517,1912.04007,etc |
| iterated function system | IFS | 90 | 5 | 2.003815 | 1912.02587,1912.03220,etc |
| mean square error | MSE | 64 | 5 | 2.001688 | 1912.02718,1912.03799,etc |
| finite element method | FEM | 98 | 5 | 2.002695 | 1912.03639,1912.05120,etc |
| maximum likelihood | ML | 30 | 4 | 1.001168 | 1912.00005,1912.01459,etc |
| non orthogonal multiple access | NOMA | 51 | 4 | 2.00178 | 1912.00021,1912.00406,etc |
| finite volume | FV | 27 | 4 | 2.000284 | 1912.00044,1912.00825,etc |
| finite element | FE | 158 | 4 | 1.001029 | 1912.00044,1912.00496,etc |
| radial basis function | RBF | 46 | 4 | 2.004154 | 1912.00268,1912.01391,etc |
| proper orthogonal decomposition | POD | 80 | 4 | 2.002532 | 1912.00394,1912.00825,etc |
| maximum likelihood estimation | MLE | 39 | 4 | 2.001002 | 1912.00396,1912.04011,etc |
| discrete fourier transform | DFT | 4 | 4 | 1.000104 | 1912.00410,1912.01228,etc |
| cumulative distribution function | CDF | 43 | 4 | 1.002902 | 1912.00410,1912.03717,etc |
| total variation | TV | 289 | 4 | 2.003955 | 1912.00428,1912.00628,etc |
| hamilton jacobi bellman | HJB | 29 | 4 | 1.00076 | 1912.00492,1912.01809,etc |
| symmetric positive definite | SPD | 11 | 4 | 1.000336 | 1912.00496,1912.01222,etc |
| ordinary differential equations | ODE | 20 | 4 | 2.000398 | 1912.00921,1912.01112,etc |
| analog to digital converter | ADC | 17 | 4 | 1.000601 | 1912.00976,1912.06282,etc |
| maximum likelihood estimator | MLE | 20 | 4 | 2.000797 | 1912.00976,1912.03170,etc |
| kardar parisi zhang | KPZ | 82 | 4 | 2.000422 | 1912.00992,1912.02957,etc |
| natural sciences and engineering research council of canada | NSERC | 4 | 4 | 1.00011 | 1912.01086,1912.03963,etc |
| age of information | AoI | 166 | 4 | 2.005161 | 1912.01319,1912.02421,etc |
| fractional brownian motion | fBm | 69 | 4 | 2.003115 | 1912.01463,1912.03172,etc |
| reconfigurable intelligent surface | RIS | 307 | 4 | 2.011257 | 1912.01477,1912.01818,etc |
| multi input multi output | MIMO | 5 | 4 | 1.000203 | 1912.01477,1912.02392,etc |
| access point | AP | 127 | 4 | 2.003387 | 1912.01497,1912.01818,etc |
| semidefinite relaxation | SDR | 29 | 4 | 2.000603 | 1912.01497,1912.01818,etc |
| principal component analysis | PCA | 24 | 4 | 1.000327 | 1912.01642,1912.02819,etc |
| simultaneous wireless information and power transfer | SWIPT | 27 | 4 | 1.002037 | 1912.01727,1912.04785,etc |
| non line of sight | NLOS | 27 | 4 | 2.000902 | 1912.01727,1912.04437,etc |
| time division duplexing | TDD | 6 | 4 | 1.000197 | 1912.01767,1912.01980,etc |
| model predictive control | MPC | 164 | 4 | 2.005401 | 1912.01843,1912.02122,etc |
| optimal control problem | OCP | 45 | 4 | 2.001054 | 1912.01843,1912.02122,etc |
| semidefinite program | SDP | 132 | 4 | 1.002813 | 1912.02949,1912.03346,etc |
| optimal power flow | OPF | 103 | 4 | 2.004668 | 1912.03346,1912.03586,etc |
| linear quadratic regulator | LQR | 42 | 4 | 2.001301 | 1912.03616,1912.04617,etc |
| multi user | MU | 71 | 4 | 2.001551 | 1912.04437,1912.05609,etc |
| power spectral density | PSD | 26 | 3 | 2.000547 | 1912.00005,1912.00394,etc |
| resource block | RB | 32 | 3 | 2.001647 | 1912.00021,1912.00406,etc |
| two dimensional | 2D | 10 | 3 | 2.000109 | 1912.00021,1912.04135,etc |
| backward difference formula | BDF | 16 | 3 | 2.000609 | 1912.00044,1912.05924,etc |
| backward stochastic differential equation | BSDE | 87 | 3 | 2.008331 | 1912.00054,1912.00492,etc |
| successive cancellation | SC | 290 | 3 | 2.013495 | 1912.00098,1912.01086,etc |
| likelihood ratio | LLR | 111 | 3 | 2.004488 | 1912.00098,1912.00396,etc |
| block error rate | BLER | 65 | 3 | 2.003057 | 1912.00098,1912.00976,etc |
| efficiency | EE | 70 | 3 | 1.011432 | 1912.00220,1912.06282,etc |
| mixed integer nonlinear program | MINLP | 49 | 3 | 2.000352 | 1912.00356,1912.03596,etc |
| frequency division duplex | FDD | 14 | 3 | 1.000562 | 1912.00406,1912.03620,etc |
| long term evolution | LTE | 5 | 3 | 1.000022 | 1912.00406,1912.02298,etc |
| time division duplex | TDD | 4 | 3 | 1.000153 | 1912.00410,1912.04437,etc |
| cyclic prefix | CP | 7 | 3 | 1.000584 | 1912.00410,1912.01228,etc |
| downlink | DL | 89 | 3 | 1.006675 | 1912.00410,1912.02455,etc |
| implicit explicit | IMEX | 78 | 3 | 2.002729 | 1912.00559,1912.06809,etc |
| generative adversarial network | GAN | 11 | 3 | 1.002396 | 1912.00610,1912.05146,etc |
| angle of arrival | AoA | 10 | 3 | 1.00037 | 1912.00728,1912.02455,etc |
| gaussian unitary ensemble | GUE | 9 | 3 | 1.00012 | 1912.00992,1912.02957,etc |
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