| partial differential equation | PDE | 417 | 36 | 2.002291 | 1911.00315,1911.00412,etc |
| signal to noise ratio | SNR | 276 | 25 | 1.002032 | 1911.00101,1911.00153,etc |
| base station | BS | 632 | 20 | 2.004717 | 1911.00153,1911.00188,etc |
| additive white gaussian noise | AWGN | 66 | 18 | 2.000794 | 1911.00101,1911.00188,etc |
| channel state information | CSI | 191 | 18 | 2.002563 | 1911.00821,1911.01167,etc |
| radio frequency | RF | 247 | 16 | 1.005192 | 1911.00101,1911.00153,etc |
| multiple input multiple output | MIMO | 220 | 16 | 2.002525 | 1911.01306,1911.02417,etc |
| ordinary differential equation | ODE | 89 | 15 | 2.000687 | 1911.00412,1911.00752,etc |
| internet of things | IoT | 82 | 15 | 2.001174 | 1911.00821,1911.01115,etc |
| theorem | Theorem | 337 | 14 | 2.002273 | 1911.01186,1911.02328,etc |
| bit error rate | BER | 107 | 11 | 1.002408 | 1911.00101,1911.01154,etc |
| probability density function | PDF | 60 | 10 | 1.001026 | 1911.00101,1911.01154,etc |
| line of sight | LoS | 146 | 10 | 2.003168 | 1911.00821,1911.01124,etc |
| stochastic differential equation | SDE | 177 | 9 | 1.002295 | 1911.00315,1911.00992,etc |
| cumulative distribution function | CDF | 54 | 9 | 1.001436 | 1911.00469,1911.00821,etc |
| discontinuous galerkin | dG | 118 | 9 | 2.003758 | 1911.00738,1911.00790,etc |
| discrete fourier transform | DFT | 30 | 9 | 1.000818 | 1911.02010,1911.03084,etc |
| quality of service | QoS | 16 | 8 | 1.000344 | 1911.00101,1911.01124,etc |
| singular value decomposition | SVD | 47 | 8 | 2.000783 | 1911.00153,1911.00538,etc |
| orthogonal frequency division multiplexing | OFDM | 10 | 8 | 1.000213 | 1911.00188,1911.01167,etc |
| algorithm | Algorithm | 84 | 8 | 2.000705 | 1911.01521,1911.02770,etc |
| non orthogonal multiple access | NOMA | 150 | 7 | 1.004836 | 1911.00101,1911.01167,etc |
| hamilton jacobi bellman | HJB | 73 | 7 | 2.001896 | 1911.00279,1911.00734,etc |
| unmanned aerial vehicle | UAV | 519 | 7 | 2.006931 | 1911.00821,1911.01124,etc |
| karush kuhn tucker | KKT | 42 | 7 | 1.000494 | 1911.00821,1911.01647,etc |
| age of information | AoI | 537 | 7 | 2.00818 | 1911.01407,1911.02241,etc |
| mean squared error | MSE | 138 | 7 | 1.003248 | 1911.02158,1911.03084,etc |
| partial differential equations | PDE | 55 | 6 | 2.000789 | 1911.00279,1911.02293,etc |
| backward stochastic differential equation | BSDE | 128 | 6 | 2.001428 | 1911.00315,1911.00672,etc |
| semidefinite program | SDP | 138 | 6 | 2.002154 | 1911.00865,1911.02111,etc |
| signal to interference plus noise ratio | SINR | 33 | 6 | 2.0006 | 1911.01167,1911.03916,etc |
| stochastic gradient descent | SGD | 18 | 6 | 1.000608 | 1911.01544,1911.01612,etc |
| binary phase shift keying | BPSK | 13 | 6 | 1.000331 | 1911.02227,1911.02762,etc |
| magnetic resonance imaging | MRI | 43 | 6 | 1.001179 | 1911.02409,1911.03150,etc |
| alternating direction method of multipliers | ADMM | 84 | 6 | 1.003646 | 1911.02934,1911.03019,etc |
| conjugate gradient | CG | 140 | 5 | 2.003225 | 1911.00026,1911.02664,etc |
| fifth generation | 5G | 13 | 5 | 1.000498 | 1911.00101,1911.00153,etc |
| single input single output | SISO | 7 | 5 | 1.000066 | 1911.00101,1911.02227,etc |
| successive interference cancellation | SIC | 14 | 5 | 1.000404 | 1911.00101,1911.01009,etc |
| millimeter wave | mmWave | 94 | 5 | 2.001786 | 1911.00153,1911.05906,etc |
| maximum likelihood | ML | 23 | 5 | 1.00061 | 1911.00469,1911.01154,etc |
| mean square error | MSE | 80 | 5 | 2.001075 | 1911.00704,1911.01009,etc |
| model predictive control | MPC | 90 | 5 | 2.002391 | 1911.00865,1911.02641,etc |
| log likelihood ratio | LLR | 62 | 5 | 1.001099 | 1911.01009,1911.02227,etc |
| deep neural network | DNN | 66 | 5 | 2.001115 | 1911.01115,1911.01612,etc |
| linear quadratic | LQ | 28 | 5 | 2.000667 | 1911.01306,1911.01900,etc |
| deutsche forschungsgemeinschaft | DFG | 5 | 5 | 1.000257 | 1911.02120,1911.02338,etc |
| markov decision process | MDP | 59 | 5 | 1.001404 | 1911.02206,1911.02213,etc |
| proper orthogonal decomposition | POD | 84 | 5 | 1.002074 | 1911.03808,1911.04688,etc |
| zero forcing | ZF | 48 | 5 | 2.00212 | 1911.05535,1911.07017,etc |
| moment generating function | MGF | 10 | 4 | 1.000319 | 1911.00101,1911.05381,etc |
| central limit theorem | CLT | 22 | 4 | 2.000882 | 1911.00160,1911.02389,etc |
| total variation | TV | 18 | 4 | 1.000383 | 1911.00730,1911.03150,etc |
| non line of sight | NLOS | 11 | 4 | 2.000391 | 1911.00821,1911.01124,etc |
| minimum mean squared error | MMSE | 81 | 4 | 2.003464 | 1911.01009,1911.03744,etc |
| lemma | Lemma | 110 | 4 | 2.002285 | 1911.01186,1911.03958,etc |
| kullback leibler | KL | 58 | 4 | 2.003932 | 1911.01525,1911.04922,etc |
| support vector machine | SVM | 39 | 4 | 1.000793 | 1911.02008,1911.02306,etc |
| deep reinforcement learning | DRL | 183 | 4 | 2.004239 | 1911.02206,1911.03264,etc |
| belief propagation | BP | 90 | 4 | 2.00232 | 1911.02227,1911.02762,etc |
| compressed sensing | CS | 83 | 4 | 2.002669 | 1911.03150,1911.07428,etc |
| neural network | NN | 55 | 4 | 1.002507 | 1911.03808,1911.04547,etc |
| machine learning | ML | 40 | 3 | 2.00199 | 1911.00188,1911.03019,etc |
| fractional differential equation | FDE | 7 | 3 | 1.000151 | 1911.00304,1911.07114,etc |
| maximum likelihood estimator | MLE | 89 | 3 | 2.001719 | 1911.00469,1911.01525,etc |
| likelihood ratio | LR | 50 | 3 | 2.001617 | 1911.00469,1911.03229,etc |
| wireless sensor network | WSN | 39 | 3 | 1.000623 | 1911.00718,1911.05147,etc |
| generative adversarial network | GAN | 43 | 3 | 2.001567 | 1911.00730,1911.02277,etc |
| boundary integral equation | BIE | 36 | 3 | 2.000296 | 1911.00788,1911.05003,etc |
| implicit explicit | IMEX | 8 | 3 | 1.000138 | 1911.01095,1911.07114,etc |
| simultaneous wireless information and power transfer | SWIPT | 28 | 3 | 2.000616 | 1911.01115,1911.05903,etc |
| peak to average power ratio | PAPR | 8 | 3 | 1.00123 | 1911.01115,1911.01908,etc |
| fractional brownian motion | FBM | 17 | 3 | 1.000514 | 1911.01163,1911.04341,etc |
| maximum ratio combining | MRC | 13 | 3 | 2.000435 | 1911.01167,1911.01684,etc |
| connected and automated vehicle | CAV | 225 | 3 | 2.007378 | 1911.01380,1911.03475,etc |
| computational fluid dynamics | CFD | 30 | 3 | 2.001436 | 1911.01543,1911.03682,etc |
| gradient descent | GD | 28 | 3 | 2.000943 | 1911.01544,1911.02424,etc |
| monte carlo | MC | 110 | 3 | 2.005081 | 1911.01612,1911.03045,etc |
| ultra reliable low latency communications | URLLC | 17 | 3 | 1.00128 | 1911.01684,1911.03585,etc |
| automatic repeat request | ARQ | 76 | 3 | 1.009823 | 1911.01684,1911.05201,etc |
| gromov witten | GW | 27 | 3 | 2.000665 | 1911.01796,1911.04079,etc |
| probability mass function | PMF | 32 | 3 | 2.003922 | 1911.01908,1911.04694,etc |
| hybridizable discontinuous galerkin | HDG | 85 | 3 | 2.004022 | 1911.01984,1911.02664,etc |
| dynamic programming | DP | 204 | 3 | 2.004936 | 1911.02113,1911.03475,etc |
| state of charge | SOC | 11 | 3 | 1.00037 | 1911.02206,1911.04054,etc |
| reduced basis method | RBM | 15 | 3 | 1.000437 | 1911.02214,1911.05235,etc |
| empirical interpolation method | EIM | 147 | 3 | 2.005123 | 1911.02214,1911.03808,etc |
| low density parity check | LDPC | 46 | 3 | 2.001309 | 1911.02227,1911.02762,etc |
| electrical impedance tomography | EIT | 27 | 3 | 2.000845 | 1911.02409,1911.06074,etc |
| successive convex approximation | SCA | 16 | 3 | 1.000428 | 1911.02417,1911.05553,etc |
| quadratic program | QP | 75 | 3 | 2.004517 | 1911.02641,1911.02934,etc |
| intelligent reflecting surface | IRS | 192 | 3 | 2.002424 | 1911.03084,1911.03916,etc |
| degrees of freedom | DoF | 70 | 3 | 2.004 | 1911.03084,1911.03808,etc |
| minimum mse | MMSE | 65 | 3 | 2.001645 | 1911.03539,1911.03916,etc |
| artificial intelligence | AI | 104 | 3 | 1.009071 | 1911.03585,1911.04022,etc |
| finite element | FE | 62 | 3 | 1.00401 | 1911.03616,1911.04219,etc |
| linear time invariant | LTI | 9 | 3 | 1.000101 | 1911.03617,1911.05804,etc |
| maximum likelihood estimate | MLE | 86 | 3 | 2.000676 | 1911.03721,1911.04212,etc |
| totally asymmetric simple exclusion process | TASEP | 51 | 3 | 2.002019 | 1911.03792,1911.04458,etc |
| reduced order model | ROM | 136 | 3 | 1.005387 | 1911.03808,1911.05235,etc |
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