| 1 | partial differential equation | PDE | 228 | 20 | 2.001802 | 1909.00049,1909.00708,etc |
| 2 | channel state information | CSI | 249 | 19 | 2.001322 | 1909.00478,1909.00629,etc |
| 3 | theorem | Theorem | 414 | 17 | 2.002664 | 1909.00323,1909.00480,etc |
| 4 | multiple input multiple output | MIMO | 181 | 12 | 2.002477 | 1909.01683,1909.04259,etc |
| 5 | ordinary differential equation | ODE | 126 | 11 | 1.002322 | 1909.00038,1909.00265,etc |
| 6 | base station | BS | 572 | 11 | 2.006641 | 1909.02485,1909.03058,etc |
| 7 | karush kuhn tucker | KKT | 38 | 10 | 2.00058 | 1909.01778,1909.03326,etc |
| 8 | singular value decomposition | SVD | 134 | 10 | 1.004131 | 1909.01947,1909.02539,etc |
| 9 | additive white gaussian noise | AWGN | 19 | 9 | 1.000339 | 1909.00329,1909.00478,etc |
| 10 | alternating direction method of multipliers | ADMM | 123 | 9 | 1.004567 | 1909.00478,1909.02496,etc |
| 11 | signal to noise ratio | SNR | 96 | 9 | 1.002768 | 1909.00478,1909.01683,etc |
| 12 | zero forcing | ZF | 230 | 9 | 1.005138 | 1909.00524,1909.01034,etc |
| 13 | radio frequency | RF | 108 | 9 | 2.00167 | 1909.00631,1909.05110,etc |
| 14 | markov chain monte carlo | MCMC | 67 | 8 | 1.000999 | 1909.00232,1909.00549,etc |
| 15 | european research council | ERC | 9 | 8 | 1.000094 | 1909.00407,1909.00655,etc |
| 16 | line of sight | LoS | 122 | 8 | 2.006216 | 1909.00629,1909.02193,etc |
| 17 | semidefinite programming | SDP | 75 | 8 | 2.001469 | 1909.00629,1909.03705,etc |
| 18 | mean squared error | MSE | 120 | 7 | 1.002923 | 1909.00002,1909.00329,etc |
| 19 | stochastic differential equation | SDE | 43 | 7 | 2.000718 | 1909.00099,1909.00901,etc |
| 20 | orthogonal frequency division multiplexing | OFDM | 110 | 7 | 2.007316 | 1909.00524,1909.01683,etc |
| 21 | finite element method | FEM | 108 | 7 | 2.002707 | 1909.01243,1909.02990,etc |
| 22 | fifth generation | 5G | 47 | 7 | 2.000638 | 1909.01989,1909.02194,etc |
| 23 | internet of things | IoT | 20 | 6 | 1.000509 | 1909.00329,1909.00631,etc |
| 24 | discrete fourier transform | DFT | 18 | 6 | 1.000973 | 1909.00524,1909.02894,etc |
| 25 | central limit theorem | CLT | 31 | 6 | 1.000333 | 1909.00686,1909.04853,etc |
| 26 | quality of service | QoS | 43 | 6 | 2.000888 | 1909.00908,1909.01989,etc |
| 27 | principal component analysis | PCA | 114 | 6 | 1.003561 | 1909.01164,1909.02243,etc |
| 28 | non orthogonal multiple access | NOMA | 519 | 6 | 2.007812 | 1909.01989,1909.02194,etc |
| 29 | unmanned aerial vehicle | UAV | 492 | 6 | 2.018944 | 1909.02194,1909.02485,etc |
| 30 | signal to interference plus noise ratio | SINR | 46 | 6 | 2.002017 | 1909.02194,1909.03058,etc |
| 31 | successive interference cancellation | SIC | 24 | 5 | 1.000207 | 1909.00065,1909.01989,etc |
| 32 | lemma | Lemma | 104 | 5 | 2.001692 | 1909.00487,1909.00776,etc |
| 33 | intelligent reflecting surface | IRS | 234 | 5 | 2.002785 | 1909.00629,1909.02193,etc |
| 34 | restricted isometry property | RIP | 29 | 5 | 2.000516 | 1909.00717,1909.03392,etc |
| 35 | linear programming | LP | 127 | 5 | 2.008062 | 1909.00717,1909.02123,etc |
| 36 | spectral efficiency | SE | 279 | 5 | 2.008668 | 1909.01034,1909.06218,etc |
| 37 | maximum likelihood | ML | 49 | 5 | 1.001013 | 1909.01683,1909.02496,etc |
| 38 | bit error rate | BER | 38 | 5 | 2.001133 | 1909.01683,1909.05110,etc |
| 39 | user equipment | UE | 84 | 5 | 2.002924 | 1909.03875,1909.06975,etc |
| 40 | boundary element method | BEM | 86 | 4 | 2.002069 | 1909.00049,1909.04426,etc |
| 41 | low density parity check | LDPC | 42 | 4 | 1.00195 | 1909.00065,1909.04892,etc |
| 42 | semidefinite program | SDP | 83 | 4 | 2.002787 | 1909.00081,1909.00569,etc |
| 43 | fast fourier transform | FFT | 32 | 4 | 1.004693 | 1909.00305,1909.00524,etc |
| 44 | millimeter wave | mmWave | 183 | 4 | 2.007396 | 1909.00478,1909.06218,etc |
| 45 | difference of convex | DC | 98 | 4 | 1.003864 | 1909.00478,1909.00918,etc |
| 46 | access point | AP | 228 | 4 | 2.00246 | 1909.00629,1909.01034,etc |
| 47 | multiple input single output | MISO | 22 | 4 | 2.000902 | 1909.00629,1909.00908,etc |
| 48 | time division duplex | TDD | 54 | 4 | 2.002281 | 1909.00908,1909.01034,etc |
| 49 | uplink | UL | 62 | 4 | 1.003648 | 1909.01034,1909.06750,etc |
| 50 | downlink | DL | 47 | 4 | 1.003709 | 1909.01034,1909.06750,etc |
| 51 | deep neural network | DNN | 73 | 4 | 2.002239 | 1909.01683,1909.05442,etc |
| 52 | uncertainty quantification | UQ | 25 | 4 | 2.000613 | 1909.01859,1909.03948,etc |
| 53 | directed acyclic graph | DAG | 37 | 4 | 1.003172 | 1909.01978,1909.03302,etc |
| 54 | maximum ratio combining | MRC | 75 | 4 | 1.004301 | 1909.01989,1909.06760,etc |
| 55 | orthogonal multiple access | OMA | 561 | 4 | 2.010575 | 1909.01989,1909.02194,etc |
| 56 | linear minimum mean square error | LMMSE | 21 | 4 | 1.000504 | 1909.02485,1909.04259,etc |
| 57 | multiple access channel | MAC | 35 | 3 | 1.000914 | 1909.00065,1909.00329,etc |
| 58 | runge kutta | RK | 6 | 3 | 1.000206 | 1909.00265,1909.04234,etc |
| 59 | barzilai borwein | BB | 22 | 3 | 2.00105 | 1909.00305,1909.01479,etc |
| 60 | orthogonal frequency division multiple access | OFDMA | 12 | 3 | 2.000209 | 1909.00478,1909.06750,etc |
| 61 | decode and forward | DF | 76 | 3 | 2.002076 | 1909.00478,1909.01989,etc |
| 62 | central processing unit | CPU | 26 | 3 | 1.000243 | 1909.00478,1909.01034,etc |
| 63 | minimum mean squared error | MMSE | 38 | 3 | 2.005932 | 1909.00524,1909.06972,etc |
| 64 | inter carrier interference | ICI | 37 | 3 | 2.002503 | 1909.00524,1909.04259,etc |
| 65 | courant friedrichs lewy | CFL | 16 | 3 | 2.000605 | 1909.00535,1909.00916,etc |
| 66 | probability generating functional | PGFL | 4 | 3 | 1.000012 | 1909.00913,1909.01989,etc |
| 67 | second order cone program | SOCP | 14 | 3 | 1.00117 | 1909.01034,1909.05169,etc |
| 68 | probability density function | PDF | 15 | 3 | 1.001849 | 1909.01103,1909.06975,etc |
| 69 | controlled loosening up | CLuP | 164 | 3 | 2.003456 | 1909.01175,1909.01190,etc |
| 70 | mean square error | MSE | 41 | 3 | 1.001802 | 1909.01317,1909.02662,etc |
| 71 | korteweg de vries | KdV | 23 | 3 | 2.002122 | 1909.01448,1909.05435,etc |
| 72 | mixed integer programming | MIP | 65 | 3 | 2.001106 | 1909.01472,1909.04463,etc |
| 73 | deep learning | DL | 81 | 3 | 2.003133 | 1909.01683,1909.02730,etc |
| 74 | minimum mean square error | MMSE | 67 | 3 | 2.002842 | 1909.01683,1909.07635,etc |
| 75 | half duplex | HD | 65 | 3 | 1.008248 | 1909.02194,1909.03058,etc |
| 76 | cumulative distribution function | CDF | 10 | 3 | 1.000421 | 1909.02194,1909.02485,etc |
| 77 | reproducing kernel hilbert space | RKHS | 26 | 3 | 2.000617 | 1909.02243,1909.03302,etc |
| 78 | uniform linear array | ULA | 4 | 3 | 1.000113 | 1909.02485,1909.06760,etc |
| 79 | long short term memory | LSTM | 26 | 3 | 1.0012 | 1909.02730,1909.07858,etc |
| 80 | hamilton jacobi bellman | HJB | 22 | 3 | 2.001161 | 1909.02916,1909.03530,etc |
| 81 | semidefinite relaxation | SDR | 12 | 3 | 1.000857 | 1909.03272,1909.06972,etc |
| 82 | degree of freedom | DoF | 47 | 3 | 2.000349 | 1909.03328,1909.05547,etc |
| 83 | maximum likelihood estimator | MLE | 39 | 3 | 2.005059 | 1909.03433,1909.04853,etc |
| 84 | least squares | LS | 53 | 3 | 2.001998 | 1909.03516,1909.04259,etc |
| 85 | second order cone programming | SOCP | 22 | 3 | 2.002162 | 1909.03644,1909.06689,etc |
| 86 | deutsche forschungsgemeinschaft | DFG | 5 | 3 | 1.000238 | 1909.03777,1909.05512,etc |
| 87 | enhanced mobile broadband | eMBB | 3 | 3 | 1.000073 | 1909.03875,1909.04892,etc |
| 88 | semi definite programming | SDP | 9 | 3 | 1.000556 | 1909.03932,1909.07079,etc |
| 89 | implicit explicit | IMEX | 53 | 3 | 1.004074 | 1909.04132,1909.04458,etc |
| 90 | new radio | NR | 36 | 3 | 2.000853 | 1909.04259,1909.08003,etc |
| 91 | three dimensional | 3D | 12 | 3 | 2.000606 | 1909.05997,1909.06669,etc |