| partial differential equation | PDE | 463 | 37 | 2.002397 | 2012.00163,2012.00585,etc |
| signal to noise ratio | SNR | 259 | 25 | 2.002441 | 2012.00092,2012.00267,etc |
| base station | BS | 602 | 24 | 2.004703 | 2012.00155,2012.00269,etc |
| deutsche forschungsgemeinschaft | DFG | 29 | 24 | 1.000105 | 2012.00198,2012.00730,etc |
| theorem | Theorem | 571 | 23 | 2.00267 | 2012.00574,2012.00612,etc |
| multiple input multiple output | MIMO | 247 | 21 | 2.002636 | 2012.00259,2012.00267,etc |
| channel state information | CSI | 259 | 19 | 2.00286 | 2012.00155,2012.00268,etc |
| line of sight | LOS | 202 | 18 | 1.001586 | 2012.00092,2012.00155,etc |
| additive white gaussian noise | AWGN | 74 | 17 | 1.001192 | 2012.00089,2012.00548,etc |
| cumulative distribution function | CDF | 93 | 15 | 1.001104 | 2012.00092,2012.00267,etc |
| stochastic differential equation | SDE | 126 | 14 | 1.003332 | 2012.01910,2012.01965,etc |
| european research council | ERC | 21 | 13 | 1.000087 | 2012.00062,2012.00224,etc |
| radio frequency | RF | 254 | 13 | 2.002745 | 2012.00092,2012.00155,etc |
| singular value decomposition | SVD | 88 | 13 | 1.00098 | 2012.00479,2012.02075,etc |
| deep neural network | DNN | 257 | 12 | 2.004245 | 2012.00089,2012.00155,etc |
| internet of things | IoT | 142 | 12 | 1.002303 | 2012.00155,2012.00581,etc |
| probability density function | PDF | 66 | 12 | 2.000826 | 2012.00267,2012.00268,etc |
| quality of service | QoS | 216 | 11 | 1.003044 | 2012.00155,2012.00548,etc |
| ordinary differential equation | ODE | 178 | 11 | 2.00186 | 2012.00163,2012.00309,etc |
| discontinuous galerkin | DG | 316 | 11 | 2.003113 | 2012.01689,2012.01898,etc |
| stochastic gradient descent | SGD | 40 | 11 | 1.000357 | 2012.04057,2012.04827,etc |
| signal to interference plus noise ratio | SINR | 78 | 10 | 2.000965 | 2012.00155,2012.00269,etc |
| maximum likelihood | ML | 116 | 10 | 1.003652 | 2012.00155,2012.00198,etc |
| fifth generation | 5G | 28 | 10 | 2.00053 | 2012.00269,2012.00547,etc |
| finite element | FE | 164 | 10 | 2.002215 | 2012.00585,2012.01961,etc |
| karush kuhn tucker | KKT | 49 | 10 | 1.000619 | 2012.04116,2012.04862,etc |
| multiple input single output | MISO | 54 | 9 | 1.00098 | 2012.00155,2012.00269,etc |
| mean square error | MSE | 124 | 9 | 2.001636 | 2012.00259,2012.00563,etc |
| reconfigurable intelligent surface | RIS | 517 | 9 | 2.007064 | 2012.00267,2012.00547,etc |
| algorithm | Algorithm | 177 | 9 | 2.001371 | 2012.00706,2012.02427,etc |
| millimeter wave | mmWave | 101 | 8 | 2.001562 | 2012.00259,2012.01891,etc |
| access point | AP | 269 | 7 | 1.005295 | 2012.00155,2012.02466,etc |
| national science foundation | NSF | 9 | 7 | 1.000226 | 2012.00259,2012.02680,etc |
| zero forcing | ZF | 87 | 7 | 1.00273 | 2012.00259,2012.00548,etc |
| alternating direction method of multipliers | ADMM | 137 | 7 | 1.00395 | 2012.00349,2012.00887,etc |
| three dimensional | 3D | 47 | 7 | 1.001757 | 2012.00479,2012.00546,etc |
| intelligent reflecting surface | IRS | 781 | 7 | 2.00938 | 2012.00548,2012.03244,etc |
| kullback leibler | KL | 26 | 6 | 1.00077 | 2012.00077,2012.06675,etc |
| bit error rate | BER | 114 | 6 | 2.003269 | 2012.00089,2012.00155,etc |
| unmanned aerial vehicle | UAV | 244 | 6 | 2.007334 | 2012.00092,2012.00260,etc |
| non line of sight | NLOS | 33 | 6 | 1.000462 | 2012.00155,2012.00267,etc |
| low density parity check | LDPC | 50 | 6 | 1.001525 | 2012.00155,2012.00226,etc |
| semidefinite programming | SDP | 193 | 6 | 2.003819 | 2012.00183,2012.02213,etc |
| uniform linear array | ULA | 11 | 6 | 1.000097 | 2012.00259,2012.01891,etc |
| sixth generation | 6G | 89 | 6 | 2.002594 | 2012.00267,2012.03244,etc |
| lemma | Lemma | 220 | 6 | 2.001381 | 2012.00444,2012.01255,etc |
| central limit theorem | CLT | 54 | 6 | 1.002573 | 2012.00547,2012.02173,etc |
| non orthogonal multiple access | NOMA | 141 | 6 | 2.003004 | 2012.00548,2012.03244,etc |
| successive interference cancellation | SIC | 117 | 6 | 2.001627 | 2012.00548,2012.02931,etc |
| ordinary differential equations | ODE | 57 | 6 | 1.000968 | 2012.00804,2012.03227,etc |
| reduced order model | ROM | 243 | 6 | 2.003417 | 2012.00861,2012.01961,etc |
| minimum mean square error | MMSE | 136 | 6 | 2.004969 | 2012.00969,2012.00970,etc |
| sample average approximation | SAA | 97 | 6 | 1.001104 | 2012.01088,2012.03761,etc |
| finite element method | FEM | 37 | 6 | 1.000832 | 2012.01094,2012.01104,etc |
| hamilton jacobi bellman | HJB | 43 | 6 | 2.000838 | 2012.02277,2012.03081,etc |
| markov chain monte carlo | MCMC | 38 | 6 | 1.002456 | 2012.02816,2012.04245,etc |
| neural network | NN | 144 | 5 | 2.004184 | 2012.00089,2012.06727,etc |
| non los | NLOS | 35 | 5 | 1.001177 | 2012.00155,2012.01891,etc |
| machine learning | ML | 62 | 5 | 2.001535 | 2012.00155,2012.04057,etc |
| mean squared error | MSE | 148 | 5 | 2.002296 | 2012.00259,2012.00533,etc |
| terahertz | THz | 234 | 5 | 2.001831 | 2012.00267,2012.04238,etc |
| eavesdropper | Eve | 106 | 5 | 2.003157 | 2012.00268,2012.03169,etc |
| binary phase shift keying | BPSK | 11 | 5 | 1.00029 | 2012.00547,2012.01706,etc |
| reinforcement learning | RL | 68 | 5 | 2.002296 | 2012.00548,2012.02051,etc |
| degrees of freedom | DoF | 99 | 5 | 1.004564 | 2012.01094,2012.07389,etc |
| topological data analysis | TDA | 23 | 5 | 1.000382 | 2012.01150,2012.02634,etc |
| uniform planar array | UPA | 10 | 5 | 1.000229 | 2012.01891,2012.02466,etc |
| proper orthogonal decomposition | POD | 95 | 5 | 1.003074 | 2012.01961,2012.06073,etc |
| monte carlo | MC | 90 | 5 | 1.002758 | 2012.02864,2012.03658,etc |
| semidefinite program | SDP | 71 | 5 | 2.001991 | 2012.03244,2012.04688,etc |
| simultaneous wireless information and power transfer | SWIPT | 8 | 5 | 1.000152 | 2012.04826,2012.04843,etc |
| belief propagation | BP | 45 | 4 | 2.001579 | 2012.00089,2012.00259,etc |
| rectified linear unit | ReLU | 13 | 4 | 1.000306 | 2012.00089,2012.00804,etc |
| electromagnetic | EM | 13 | 4 | 1.000151 | 2012.00155,2012.03244,etc |
| orthogonal frequency division multiplexing | OFDM | 22 | 4 | 1.000249 | 2012.00155,2012.03169,etc |
| peak to average power ratio | PAPR | 9 | 4 | 1.000078 | 2012.00155,2012.00259,etc |
| secrecy outage probability | SOP | 84 | 4 | 2.002803 | 2012.00155,2012.00268,etc |
| linear programming | LP | 75 | 4 | 1.003271 | 2012.00183,2012.05387,etc |
| angle of departure | AoD | 7 | 4 | 1.000114 | 2012.00259,2012.02466,etc |
| physical layer security | PLS | 16 | 4 | 1.000191 | 2012.00268,2012.03169,etc |
| fast fourier transform | FFT | 34 | 4 | 2.001293 | 2012.00479,2012.03336,etc |
| semidefinite relaxation | SDR | 16 | 4 | 1.000386 | 2012.00546,2012.02466,etc |
| two dimensional | 2D | 7 | 4 | 1.000393 | 2012.00563,2012.03244,etc |
| successive cancellation | SC | 99 | 4 | 2.001191 | 2012.00581,2012.07635,etc |
| principal component analysis | PCA | 5 | 4 | 1.000098 | 2012.00725,2012.05943,etc |
| support vector machine | SVM | 27 | 4 | 2.00133 | 2012.01255,2012.03428,etc |
| alternating optimization | AO | 38 | 4 | 1.00107 | 2012.02466,2012.05667,etc |
| angle of arrival | AoA | 6 | 4 | 1.000128 | 2012.02466,2012.06103,etc |
| artificial noise | AN | 88 | 4 | 2.004408 | 2012.03169,2012.04843,etc |
| poisson point process | PPP | 18 | 4 | 2.000416 | 2012.03181,2012.03467,etc |
| model predictive control | MPC | 49 | 4 | 2.002025 | 2012.03428,2012.03452,etc |
| markov decision process | MDP | 20 | 4 | 1.000491 | 2012.04521,2012.06458,etc |
| boundary value problem | BVP | 21 | 4 | 1.000272 | 2012.06832,2012.08023,etc |
| discrete memoryless channel | DMC | 15 | 3 | 2.000981 | 2012.00077,2012.01706,etc |
| ultra reliable low latency communication | URLLC | 4 | 3 | 1.000055 | 2012.00089,2012.05172,etc |
| free space optical | FSO | 591 | 3 | 2.005553 | 2012.00092,2012.00155,etc |
| fluid structure interaction | FSI | 27 | 3 | 1.000733 | 2012.00128,2012.01898,etc |
| user equipment | UE | 81 | 3 | 2.004192 | 2012.00155,2012.07727,etc |
| symbol error rate | SER | 38 | 3 | 2.001924 | 2012.00155,2012.00259,etc |
| single input single output | SISO | 6 | 3 | 1.000439 | 2012.00155,2012.00969,etc |
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