1 | partial differential equation | PDE | 305 | 30 | 1.003008 | 1908.00253,1908.00284,etc |
2 | signal to noise ratio | SNR | 192 | 21 | 2.00141 | 1908.00226,1908.00574,etc |
3 | channel state information | CSI | 163 | 18 | 2.001515 | 1908.00226,1908.01357,etc |
4 | theorem | Theorem | 425 | 18 | 2.001821 | 1908.00567,1908.01451,etc |
5 | base station | BS | 316 | 16 | 2.003542 | 1908.01004,1908.01357,etc |
6 | internet of things | IoT | 56 | 13 | 2.001041 | 1908.01357,1908.01463,etc |
7 | multiple input multiple output | MIMO | 127 | 11 | 2.003124 | 1908.00994,1908.01357,etc |
8 | radio frequency | RF | 100 | 11 | 1.00295 | 1908.03271,1908.04885,etc |
9 | additive white gaussian noise | AWGN | 29 | 10 | 1.000559 | 1908.00226,1908.00658,etc |
10 | central limit theorem | CLT | 111 | 10 | 2.00273 | 1908.00414,1908.02493,etc |
11 | bit error rate | BER | 201 | 10 | 1.003372 | 1908.00708,1908.01357,etc |
12 | stochastic differential equation | SDE | 99 | 9 | 2.002141 | 1908.00293,1908.00533,etc |
13 | ordinary differential equation | ODE | 205 | 9 | 2.003073 | 1908.00865,1908.01169,etc |
14 | european research council | ERC | 11 | 8 | 1.000314 | 1908.00091,1908.02655,etc |
15 | singular value decomposition | SVD | 94 | 8 | 2.004927 | 1908.00461,1908.00865,etc |
16 | probability density function | PDF | 110 | 8 | 1.003103 | 1908.00533,1908.01357,etc |
17 | user equipment | UE | 353 | 8 | 2.004596 | 1908.01004,1908.03187,etc |
18 | signal to interference plus noise ratio | SINR | 90 | 7 | 1.002581 | 1908.00226,1908.03187,etc |
19 | algorithm | Algorithm | 99 | 7 | 2.000801 | 1908.00533,1908.01533,etc |
20 | markov decision process | MDP | 95 | 7 | 2.003026 | 1908.01298,1908.01310,etc |
21 | quality of service | QoS | 29 | 7 | 1.000769 | 1908.01334,1908.01726,etc |
22 | orthogonal frequency division multiplexing | OFDM | 87 | 7 | 1.003669 | 1908.03637,1908.05657,etc |
23 | cumulative distribution function | CDF | 38 | 6 | 1.001115 | 1908.00583,1908.03119,etc |
24 | deutsche forschungsgemeinschaft | DFG | 10 | 6 | 1.000131 | 1908.00652,1908.01514,etc |
25 | alternating direction method of multipliers | ADMM | 132 | 6 | 2.005227 | 1908.00865,1908.01606,etc |
26 | lemma | Lemma | 208 | 6 | 2.000942 | 1908.00955,1908.04462,etc |
27 | fifth generation | 5G | 12 | 6 | 1.000115 | 1908.01357,1908.03187,etc |
28 | access point | AP | 338 | 6 | 1.004932 | 1908.03119,1908.03187,etc |
29 | line of sight | LOS | 90 | 6 | 1.002262 | 1908.03271,1908.03984,etc |
30 | model predictive control | MPC | 200 | 5 | 2.004025 | 1908.00302,1908.00483,etc |
31 | finite element method | FEM | 137 | 5 | 2.003555 | 1908.00367,1908.05495,etc |
32 | stochastic gradient descent | SGD | 18 | 5 | 1.000246 | 1908.00412,1908.00574,etc |
33 | mean squared error | MSE | 51 | 5 | 1.001965 | 1908.00414,1908.03187,etc |
34 | expectation maximization | EM | 142 | 5 | 2.004147 | 1908.00574,1908.05657,etc |
35 | maximum likelihood | ML | 47 | 5 | 2.001199 | 1908.00708,1908.03174,etc |
36 | millimeter wave | mmWave | 132 | 5 | 2.003551 | 1908.00850,1908.01004,etc |
37 | non orthogonal multiple access | NOMA | 172 | 5 | 2.002941 | 1908.01357,1908.01460,etc |
38 | successive interference cancellation | SIC | 29 | 5 | 1.000873 | 1908.01357,1908.03298,etc |
39 | tensor train | TT | 324 | 5 | 1.011912 | 1908.01533,1908.02721,etc |
40 | discontinuous galerkin | DG | 204 | 5 | 2.00592 | 1908.03873,1908.04272,etc |
41 | minimum mean square error | MMSE | 8 | 4 | 1.000358 | 1908.00226,1908.00574,etc |
42 | principal component analysis | PCA | 11 | 4 | 1.000152 | 1908.00461,1908.00574,etc |
43 | karush kuhn tucker | KKT | 18 | 4 | 1.000803 | 1908.00696,1908.03174,etc |
44 | successive cancellation | SC | 133 | 4 | 2.002307 | 1908.00708,1908.05798,etc |
45 | angle of arrival | AoA | 46 | 4 | 2.001309 | 1908.00850,1908.04082,etc |
46 | semidefinite programming | SDP | 49 | 4 | 2.001798 | 1908.00872,1908.02319,etc |
47 | stochastic partial differential equation | SPDE | 19 | 4 | 1.000767 | 1908.00955,1908.04010,etc |
48 | probability generating functional | PGFL | 5 | 4 | 1.000177 | 1908.01182,1908.05243,etc |
49 | symbol error rate | SER | 47 | 4 | 2.00206 | 1908.01357,1908.06389,etc |
50 | quadrature amplitude modulation | QAM | 20 | 4 | 2.000735 | 1908.01357,1908.03174,etc |
51 | korteweg de vries | KdV | 71 | 4 | 2.001925 | 1908.02248,1908.03873,etc |
52 | mean square error | MSE | 13 | 4 | 1.001065 | 1908.02721,1908.04010,etc |
53 | finite volume | FV | 142 | 4 | 2.0045 | 1908.03087,1908.03344,etc |
54 | zero forcing | ZF | 78 | 4 | 1.003231 | 1908.03174,1908.06595,etc |
55 | unmanned aerial vehicle | UAV | 227 | 4 | 1.00992 | 1908.03271,1908.03984,etc |
56 | non line of sight | NLOS | 29 | 4 | 1.001064 | 1908.03271,1908.03984,etc |
57 | three dimensional | 3D | 20 | 4 | 2.00051 | 1908.03984,1908.04082,etc |
58 | machine learning | ML | 56 | 4 | 1.003724 | 1908.04116,1908.05582,etc |
59 | gaussian free field | GFF | 51 | 4 | 1.002206 | 1908.05881,1908.06732,etc |
60 | fast fourier transform | FFT | 17 | 3 | 1.001389 | 1908.00041,1908.01152,etc |
61 | conditional value at risk | CVaR | 64 | 3 | 2.003829 | 1908.00149,1908.03077,etc |
62 | engineering and physical sciences research council | EPSRC | 3 | 3 | 1.000024 | 1908.00185,1908.01859,etc |
63 | generalized multiscale finite element method | GMsFEM | 34 | 3 | 1.001069 | 1908.00247,1908.01965,etc |
64 | multiscale finite element method | MsFEM | 102 | 3 | 2.002185 | 1908.00247,1908.00367,etc |
65 | quasi monte carlo | QMC | 85 | 3 | 1.006678 | 1908.00253,1908.07232,etc |
66 | deep learning | DL | 20 | 3 | 1.001592 | 1908.00658,1908.04847,etc |
67 | convolutional neural network | CNN | 8 | 3 | 1.000584 | 1908.00658,1908.06245,etc |
68 | reproducing kernel hilbert space | RKHS | 10 | 3 | 1.000898 | 1908.00658,1908.00697,etc |
69 | markov chain monte carlo | MCMC | 6 | 3 | 1.000075 | 1908.00696,1908.05575,etc |
70 | ensemble kalman filter | EnKF | 64 | 3 | 1.002529 | 1908.00696,1908.05495,etc |
71 | degrees of freedom | DoF | 103 | 3 | 1.004188 | 1908.00703,1908.02597,etc |
72 | successive cancellation list | SCL | 49 | 3 | 1.001837 | 1908.00708,1908.05889,etc |
73 | low density parity check | LDPC | 7 | 3 | 1.00009 | 1908.00708,1908.04205,etc |
74 | gaussian approximation | GA | 25 | 3 | 2.001072 | 1908.00708,1908.05798,etc |
75 | monte carlo | MC | 95 | 3 | 1.005031 | 1908.00947,1908.01786,etc |
76 | two dimensional | 2D | 3 | 3 | 1.000045 | 1908.00994,1908.04142,etc |
77 | analog to digital converter | ADC | 62 | 3 | 1.01047 | 1908.01014,1908.06245,etc |
78 | successive over relaxation | SOR | 22 | 3 | 2.001221 | 1908.01083,1908.01762,etc |
79 | long term evolution | LTE | 4 | 3 | 1.000043 | 1908.01182,1908.07108,etc |
80 | nonlinear schr"odinger equation | NLS | 52 | 3 | 2.005277 | 1908.01292,1908.01921,etc |
81 | linear programming | LP | 59 | 3 | 1.001631 | 1908.01334,1908.02376,etc |
82 | orthogonal multiple access | OMA | 206 | 3 | 2.003622 | 1908.01357,1908.01460,etc |
83 | phase shift keying | PSK | 21 | 3 | 1.0007 | 1908.01357,1908.03174,etc |
84 | mean field game | MFG | 26 | 3 | 2.00036 | 1908.01613,1908.03330,etc |
85 | linear time invariant | LTI | 7 | 3 | 1.000339 | 1908.02019,1908.05732,etc |
86 | symmetric positive definite | SPD | 10 | 3 | 1.000149 | 1908.02022,1908.04081,etc |
87 | age of information | AoI | 115 | 3 | 2.004348 | 1908.02429,1908.04446,etc |
88 | reinforcement learning | RL | 69 | 3 | 2.005011 | 1908.02805,1908.03271,etc |
89 | central processing unit | CPU | 44 | 3 | 2.001194 | 1908.03119,1908.03187,etc |
90 | maximum likelihood estimator | MLE | 58 | 3 | 2.000364 | 1908.03152,1908.03676,etc |
91 | simultaneous wireless information and power transfer | SWIPT | 49 | 3 | 2.005913 | 1908.03174,1908.07408,etc |
92 | linear matrix inequality | LMI | 5 | 3 | 1.000387 | 1908.03174,1908.05949,etc |
93 | finite element | FE | 11 | 3 | 1.000516 | 1908.03639,1908.05788,etc |
94 | proper orthogonal decomposition | POD | 49 | 3 | 1.00489 | 1908.03688,1908.04010,etc |
95 | angle of departure | AoD | 4 | 3 | 1.00012 | 1908.04082,1908.04142,etc |
96 | inter symbol interference | ISI | 8 | 3 | 1.000769 | 1908.04116,1908.05600,etc |
97 | random variable | RV | 28 | 3 | 2.000414 | 1908.04205,1908.05657,etc |
98 | likelihood ratio | LR | 11 | 3 | 2.00048 | 1908.05798,1908.05889,etc |
99 | maximum ratio transmission | MRT | 8 | 3 | 1.0005 | 1908.05857,1908.07408,etc |
100 | schramm loewner evolution | SLE | 128 | 3 | 2.006028 | 1908.05881,1908.07180,etc |