1 | partial differential equation | PDE | 378 | 35 | 2.002045 | 1910.00085,1910.00172,etc |
2 | multiple input multiple output | MIMO | 552 | 18 | 2.002471 | 1910.00092,1910.00461,etc |
3 | base station | BS | 393 | 18 | 2.003494 | 1910.00244,1910.00510,etc |
4 | channel state information | CSI | 270 | 17 | 2.002649 | 1910.00092,1910.00461,etc |
5 | ordinary differential equation | ODE | 99 | 15 | 1.001322 | 1910.00755,1910.00858,etc |
6 | signal to interference plus noise ratio | SINR | 94 | 12 | 2.00097 | 1910.00244,1910.00461,etc |
7 | internet of things | IoT | 176 | 12 | 1.003824 | 1910.00946,1910.00968,etc |
8 | additive white gaussian noise | AWGN | 42 | 11 | 1.000846 | 1910.00244,1910.00946,etc |
9 | fifth generation | 5G | 78 | 10 | 2.001196 | 1910.00092,1910.00244,etc |
10 | alternating direction method of multipliers | ADMM | 210 | 10 | 2.003192 | 1910.01312,1910.03365,etc |
11 | deutsche forschungsgemeinschaft | DFG | 13 | 9 | 1.000115 | 1910.00121,1910.03486,etc |
12 | three dimensional | 3D | 69 | 9 | 1.000498 | 1910.00173,1910.00425,etc |
13 | conjugate gradient | CG | 70 | 9 | 1.000836 | 1910.00914,1910.01312,etc |
14 | orthogonal frequency division multiplexing | OFDM | 75 | 9 | 1.002234 | 1910.01350,1910.01573,etc |
15 | quality of service | QoS | 98 | 8 | 2.000854 | 1910.00092,1910.00244,etc |
16 | deep neural network | DNN | 189 | 8 | 2.003618 | 1910.00121,1910.01594,etc |
17 | stochastic differential equation | SDE | 51 | 8 | 2.000969 | 1910.02479,1910.03214,etc |
18 | discontinuous galerkin | DG | 264 | 7 | 2.002955 | 1910.00085,1910.00151,etc |
19 | uniform linear array | ULA | 32 | 7 | 1.00166 | 1910.00092,1910.00461,etc |
20 | single input single output | SISO | 27 | 7 | 2.001633 | 1910.00110,1910.00838,etc |
21 | multiple input single output | MISO | 47 | 7 | 2.001116 | 1910.00244,1910.00959,etc |
22 | markov chain monte carlo | MCMC | 45 | 7 | 2.001117 | 1910.00853,1910.01547,etc |
23 | bit error rate | BER | 89 | 7 | 2.001372 | 1910.00853,1910.00946,etc |
24 | european research council | ERC | 7 | 7 | 1.000086 | 1910.01028,1910.02154,etc |
25 | karush kuhn tucker | KKT | 31 | 7 | 1.000521 | 1910.01312,1910.04300,etc |
26 | linear matrix inequality | LMI | 36 | 6 | 1.001417 | 1910.00046,1910.01338,etc |
27 | minimum mean square error | MMSE | 73 | 6 | 2.001523 | 1910.00092,1910.00946,etc |
28 | unmanned aerial vehicle | UAV | 318 | 6 | 2.010781 | 1910.00092,1910.00461,etc |
29 | non orthogonal multiple access | NOMA | 1009 | 6 | 1.007868 | 1910.00244,1910.00461,etc |
30 | orthogonal multiple access | OMA | 1292 | 6 | 1.008491 | 1910.00244,1910.00461,etc |
31 | maximum likelihood | ML | 79 | 6 | 2.00288 | 1910.01176,1910.01350,etc |
32 | stochastic gradient descent | SGD | 82 | 6 | 2.005648 | 1910.01594,1910.02953,etc |
33 | user equipment | UE | 192 | 5 | 2.00718 | 1910.00092,1910.00461,etc |
34 | finite element method | FEM | 22 | 5 | 2.00148 | 1910.00298,1910.01000,etc |
35 | left hand side | LHS | 52 | 5 | 2.00087 | 1910.00693,1910.00946,etc |
36 | two dimensional | 2D | 48 | 5 | 2.000715 | 1910.01350,1910.01889,etc |
37 | rectified linear unit | ReLU | 7 | 5 | 1.000298 | 1910.01594,1910.01948,etc |
38 | mean squared error | MSE | 45 | 5 | 1.000467 | 1910.03660,1910.03821,etc |
39 | time division duplex | TDD | 26 | 4 | 2.000746 | 1910.00092,1910.00946,etc |
40 | cloud radio access network | C-RAN | 14 | 4 | 2.000357 | 1910.00092,1910.02953,etc |
41 | analog to digital converter | ADC | 42 | 4 | 2.001861 | 1910.00092,1910.02449,etc |
42 | expectation maximization | EM | 46 | 4 | 1.000686 | 1910.00092,1910.02953,etc |
43 | binary symmetric channel | BSC | 37 | 4 | 2.000477 | 1910.00215,1910.06127,etc |
44 | simultaneous wireless information and power transfer | SWIPT | 46 | 4 | 2.001365 | 1910.00244,1910.00959,etc |
45 | orthogonal frequency division multiple access | OFDMA | 48 | 4 | 2.001819 | 1910.00244,1910.00510,etc |
46 | maximal ratio combining | MRC | 117 | 4 | 2.003537 | 1910.00244,1910.00946,etc |
47 | fluid structure interaction | FSI | 81 | 4 | 1.004004 | 1910.00354,1910.03424,etc |
48 | proper orthogonal decomposition | POD | 215 | 4 | 2.008219 | 1910.00914,1910.01260,etc |
49 | degrees of freedom | DoF | 75 | 4 | 1.00126 | 1910.00946,1910.03365,etc |
50 | time division multiple access | TDMA | 18 | 4 | 1.00033 | 1910.00946,1910.00968,etc |
51 | semi definite programming | SDP | 23 | 4 | 1.000726 | 1910.00946,1910.04320,etc |
52 | stochastic partial differential equation | SPDE | 63 | 4 | 2.000799 | 1910.01004,1910.03543,etc |
53 | successive cancellation | SC | 231 | 4 | 2.008549 | 1910.01176,1910.03254,etc |
54 | support vector machine | SVM | 40 | 4 | 1.002183 | 1910.01312,1910.03196,etc |
55 | markov decision process | MDP | 34 | 4 | 1.001762 | 1910.01427,1910.01428,etc |
56 | deep learning | DL | 63 | 4 | 1.003097 | 1910.01948,1910.02098,etc |
57 | arbitrary lagrangian eulerian | ALE | 52 | 4 | 1.001376 | 1910.02189,1910.02282,etc |
58 | linear programming | LP | 25 | 4 | 1.000508 | 1910.02353,1910.03363,etc |
59 | linear quadratic regulator | LQR | 10 | 3 | 2.000736 | 1910.00046,1910.03271,etc |
60 | access point | AP | 142 | 3 | 2.002784 | 1910.00092,1910.04403,etc |
61 | orthogonal matching pursuit | OMP | 18 | 3 | 2.001106 | 1910.00092,1910.04926,etc |
62 | successive interference cancellation | SIC | 11 | 3 | 1.000207 | 1910.00244,1910.00510,etc |
63 | low density parity check | LDPC | 100 | 3 | 2.007797 | 1910.00472,1910.00853,etc |
64 | dynamic programming | DP | 76 | 3 | 2.003809 | 1910.00510,1910.01895,etc |
65 | belief propagation | BP | 14 | 3 | 1.000273 | 1910.00853,1910.06803,etc |
66 | approximate message passing | AMP | 21 | 3 | 2.000847 | 1910.00853,1910.02953,etc |
67 | zero forcing | ZF | 40 | 3 | 2.000593 | 1910.00946,1910.04403,etc |
68 | circularly symmetric complex gaussian | CSCG | 5 | 3 | 1.000229 | 1910.00959,1910.04403,etc |
69 | age of information | AoI | 137 | 3 | 2.001094 | 1910.00963,1910.05144,etc |
70 | symbol error rate | SER | 19 | 3 | 1.000646 | 1910.00968,1910.02449,etc |
71 | central limit theorem | CLT | 9 | 3 | 1.000125 | 1910.00968,1910.03643,etc |
72 | inter symbol interference | ISI | 9 | 3 | 1.000316 | 1910.01028,1910.02953,etc |
73 | hamilton jacobi bellman | HJB | 13 | 3 | 1.000851 | 1910.01087,1910.03396,etc |
74 | dynamic mode decomposition | DMD | 101 | 3 | 2.003938 | 1910.01260,1910.03011,etc |
75 | interior point method | IPM | 14 | 3 | 1.001136 | 1910.01312,1910.03143,etc |
76 | approximate dynamic programming | ADP | 62 | 3 | 2.002173 | 1910.01427,1910.01428,etc |
77 | nonlinear schr"{o}dinger | NLS | 47 | 3 | 2.000829 | 1910.01482,1910.03449,etc |
78 | king abdullah university of science and technology | KAUST | 6 | 3 | 1.00005 | 1910.02110,1910.04727,etc |
79 | natural sciences and engineering research council of canada | NSERC | 5 | 3 | 1.00004 | 1910.02112,1910.03370,etc |
80 | ensemble kalman filter | EnKF | 44 | 3 | 1.003696 | 1910.02116,1910.04247,etc |
81 | likelihood ratio | LR | 48 | 3 | 1.003144 | 1910.02479,1910.03254,etc |
82 | semidefinite programming | SDP | 79 | 3 | 2.005293 | 1910.02715,1910.03716,etc |
83 | compressed sensing | CS | 90 | 3 | 1.005643 | 1910.02953,1910.03390,etc |
84 | time division duplexing | TDD | 11 | 3 | 1.000535 | 1910.03390,1910.06220,etc |
85 | least squares | LS | 11 | 3 | 1.00069 | 1910.03660,1910.05432,etc |
86 | reproducing kernel hilbert space | RKHS | 46 | 3 | 2.001491 | 1910.03977,1910.05861,etc |
87 | maximum a posteriori | MAP | 7 | 3 | 1.00011 | 1910.04355,1910.07343,etc |
88 | wireless power transfer | WPT | 68 | 3 | 2.002436 | 1910.04403,1910.05144,etc |
89 | light emitting diode | LED | 14 | 3 | 2.000445 | 1910.04926,1910.05713,etc |
90 | binary erasure channel | BEC | 28 | 3 | 1.000267 | 1910.06574,1910.07199,etc |