| partial differential equation | PDE | 303 | 23 | 1.002298 | 2004.00556,2004.02484,etc |
| base station | BS | 596 | 21 | 2.004991 | 2004.00299,2004.00813,etc |
| signal to noise ratio | SNR | 247 | 21 | 2.001772 | 2004.00490,2004.00813,etc |
| channel state information | CSI | 198 | 17 | 1.001952 | 2004.00299,2004.00490,etc |
| ordinary differential equation | ODE | 124 | 15 | 2.001776 | 2004.00424,2004.00623,etc |
| multiple input multiple output | MIMO | 247 | 13 | 2.002153 | 2004.00299,2004.01361,etc |
| theorem | Theorem | 290 | 12 | 2.001107 | 2004.00045,2004.00538,etc |
| radio frequency | RF | 111 | 11 | 1.001476 | 2004.03008,2004.04443,etc |
| additive white gaussian noise | AWGN | 33 | 11 | 1.000409 | 2004.04709,2004.04913,etc |
| internet of things | IoT | 55 | 10 | 2.001145 | 2004.00813,2004.01446,etc |
| model predictive control | MPC | 236 | 9 | 2.00452 | 2004.00417,2004.01798,etc |
| fifth generation | 5G | 29 | 9 | 1.00247 | 2004.01361,2004.02187,etc |
| stochastic differential equation | SDE | 61 | 9 | 1.001065 | 2004.01736,2004.02823,etc |
| singular value decomposition | SVD | 24 | 8 | 1.000339 | 2004.00153,2004.01771,etc |
| deutsche forschungsgemeinschaft | DFG | 18 | 8 | 1.000266 | 2004.00891,2004.01416,etc |
| lemma | Lemma | 92 | 8 | 2.002017 | 2004.00977,2004.01850,etc |
| line of sight | LoS | 108 | 8 | 2.004459 | 2004.01771,2004.01846,etc |
| markov decision process | MDP | 82 | 8 | 2.001388 | 2004.01798,2004.01928,etc |
| discontinuous galerkin | dG | 297 | 8 | 2.006552 | 2004.02014,2004.02685,etc |
| user equipment | UE | 250 | 7 | 2.004049 | 2004.00299,2004.02771,etc |
| orthogonal frequency division multiplexing | OFDM | 62 | 7 | 1.001353 | 2004.00299,2004.01361,etc |
| cumulative distribution function | CDF | 32 | 7 | 2.000533 | 2004.00299,2004.01964,etc |
| mean square error | MSE | 79 | 7 | 1.001686 | 2004.01771,2004.02458,etc |
| stochastic gradient descent | SGD | 112 | 7 | 2.00306 | 2004.02163,2004.02823,etc |
| karush kuhn tucker | KKT | 51 | 7 | 1.001112 | 2004.02177,2004.02484,etc |
| mean squared error | MSE | 61 | 6 | 1.00108 | 2004.00299,2004.01869,etc |
| signal to interference plus noise ratio | SINR | 21 | 6 | 1.000765 | 2004.00299,2004.00813,etc |
| non orthogonal multiple access | NOMA | 314 | 6 | 1.007361 | 2004.00813,2004.01446,etc |
| maximum likelihood | ML | 23 | 6 | 1.000292 | 2004.00869,2004.01785,etc |
| linear programming | LP | 46 | 6 | 1.001332 | 2004.01048,2004.01103,etc |
| probability density function | PDF | 8 | 6 | 1.000126 | 2004.01421,2004.01964,etc |
| central limit theorem | CLT | 65 | 6 | 2.001263 | 2004.02458,2004.03981,etc |
| european research council | ERC | 7 | 6 | 1.000105 | 2004.02660,2004.02825,etc |
| markov chain monte carlo | MCMC | 32 | 6 | 1.000668 | 2004.02823,2004.04609,etc |
| proper orthogonal decomposition | POD | 177 | 5 | 2.009431 | 2004.00153,2004.02586,etc |
| reproducing kernel hilbert space | RKHS | 45 | 5 | 1.001056 | 2004.00166,2004.00556,etc |
| successive interference cancellation | SIC | 55 | 5 | 2.001316 | 2004.00813,2004.01771,etc |
| conjugate gradient | CG | 139 | 5 | 1.005445 | 2004.01455,2004.02177,etc |
| quality of service | QoS | 10 | 5 | 1.000068 | 2004.01771,2004.02630,etc |
| amplify and forward | AF | 49 | 5 | 1.001093 | 2004.01771,2004.02187,etc |
| simultaneous wireless information and power transfer | SWIPT | 28 | 5 | 2.000876 | 2004.02187,2004.03429,etc |
| decode and forward | DF | 104 | 5 | 2.002568 | 2004.02187,2004.03821,etc |
| flux corrected transport | FCT | 34 | 5 | 2.000693 | 2004.02258,2004.02685,etc |
| likelihood ratio | LR | 44 | 5 | 2.001152 | 2004.02458,2004.03869,etc |
| millimeter wave | mmWave | 103 | 5 | 2.001675 | 2004.02771,2004.05540,etc |
| uniform linear array | ULA | 36 | 5 | 1.000907 | 2004.04331,2004.05772,etc |
| boundary value problem | BVP | 52 | 4 | 1.001696 | 2004.00153,2004.00324,etc |
| finite element | FE | 63 | 4 | 2.001664 | 2004.00153,2004.02586,etc |
| time division duplex | TDD | 5 | 4 | 1.000061 | 2004.00299,2004.05772,etc |
| least squares | LS | 19 | 4 | 2.0008 | 2004.00299,2004.01446,etc |
| maximum a posteriori | MAP | 56 | 4 | 2.002352 | 2004.00623,2004.00869,etc |
| discrete memoryless channel | DMC | 14 | 4 | 1.000508 | 2004.00775,2004.01785,etc |
| unmanned aerial vehicle | UAV | 101 | 4 | 2.010319 | 2004.01054,2004.02771,etc |
| quadratic program | QP | 83 | 4 | 2.002541 | 2004.01054,2004.01169,etc |
| poisson point process | PPP | 28 | 4 | 1.001151 | 2004.01149,2004.01464,etc |
| deep learning | DL | 15 | 4 | 2.000642 | 2004.01446,2004.04884,etc |
| optimal power flow | OPF | 125 | 4 | 2.00536 | 2004.01572,2004.03752,etc |
| three dimensional | 3D | 41 | 4 | 2.001407 | 2004.01846,2004.01874,etc |
| access point | AP | 166 | 4 | 2.003831 | 2004.02171,2004.03821,etc |
| minimum mean square error | MMSE | 8 | 4 | 1.000355 | 2004.02458,2004.05772,etc |
| log likelihood ratio | LLR | 28 | 4 | 2.00092 | 2004.03008,2004.04913,etc |
| root mean square error | RMSE | 15 | 4 | 2.000677 | 2004.03325,2004.03971,etc |
| reduced order model | ROM | 98 | 4 | 2.003806 | 2004.06205,2004.06693,etc |
| gradient descent | GD | 35 | 3 | 1.000652 | 2004.00041,2004.04948,etc |
| convolutional neural network | CNN | 22 | 3 | 1.000433 | 2004.00490,2004.01361,etc |
| istituto nazionale di alta matematica | INdAM | 4 | 3 | 1.000158 | 2004.00515,2004.03628,etc |
| finite volume | FV | 10 | 3 | 1.000151 | 2004.00556,2004.03257,etc |
| yang baxter equation | YBE | 7 | 3 | 1.000356 | 2004.00691,2004.04232,etc |
| orthogonal multiple access | OMA | 258 | 3 | 2.012191 | 2004.00813,2004.02630,etc |
| control barrier function | CBF | 23 | 3 | 2.001136 | 2004.01054,2004.01540,etc |
| control lyapunov function | CLF | 22 | 3 | 2.00071 | 2004.01054,2004.01540,etc |
| integer programming | IP | 37 | 3 | 1.004246 | 2004.01103,2004.03387,etc |
| conditional value at risk | CVaR | 59 | 3 | 2.003441 | 2004.01103,2004.02402,etc |
| downlink | DL | 187 | 3 | 2.009703 | 2004.01361,2004.06836,etc |
| mobile station | MS | 135 | 3 | 2.007661 | 2004.01361,2004.06940,etc |
| time division duplexing | TDD | 5 | 3 | 1.00011 | 2004.01361,2004.04331,etc |
| receive antenna | RA | 19 | 3 | 1.002489 | 2004.01421,2004.01423,etc |
| cumulative density function | CDF | 12 | 3 | 1.000405 | 2004.01421,2004.03981,etc |
| peak to average power ratio | PAPR | 32 | 3 | 1.001685 | 2004.01446,2004.05428,etc |
| channel estimation | CE | 64 | 3 | 1.00238 | 2004.01446,2004.02171,etc |
| discrete fourier transform | DFT | 5 | 3 | 1.00015 | 2004.01446,2004.04458,etc |
| linear time invariant | LTI | 6 | 3 | 1.000183 | 2004.01690,2004.08019,etc |
| multi input multi output | MIMO | 52 | 3 | 2.002931 | 2004.01771,2004.04331,etc |
| empirical risk minimization | ERM | 8 | 3 | 1.000077 | 2004.01869,2004.04357,etc |
| full duplex | FD | 162 | 3 | 2.002225 | 2004.01964,2004.06836,etc |
| finite element methods | FEM | 11 | 3 | 2.000396 | 2004.02014,2004.04117,etc |
| restricted isometry property | RIP | 26 | 3 | 2.000968 | 2004.02171,2004.04348,etc |
| power splitting | PS | 43 | 3 | 1.001605 | 2004.02187,2004.05300,etc |
| time switching | TS | 44 | 3 | 1.001687 | 2004.02187,2004.05300,etc |
| energy harvesting | EH | 71 | 3 | 2.000502 | 2004.02187,2004.05300,etc |
| non line of sight | NLOS | 23 | 3 | 1.000827 | 2004.02187,2004.04346,etc |
| nonlinear program | NLP | 38 | 3 | 2.001724 | 2004.02402,2004.02484,etc |
| state of charge | SOC | 13 | 3 | 1.001127 | 2004.02582,2004.05161,etc |
| random variable | RV | 59 | 3 | 1.00353 | 2004.03008,2004.05300,etc |
| metropolis hastings | M-H | 7 | 3 | 1.000233 | 2004.03503,2004.04609,etc |
| total variation diminishing | TVD | 7 | 3 | 1.00015 | 2004.03521,2004.05239,etc |
| algorithm | Algorithm | 39 | 3 | 2.000542 | 2004.03537,2004.04985,etc |
| scientific discovery through advanced computing | SciDAC | 3 | 3 | 1.000072 | 2004.03730,2004.05566,etc |
| mobile edge computing | MEC | 127 | 3 | 2.006079 | 2004.03821,2004.07553,etc |
| time division multiple access | TDMA | 27 | 3 | 1.001474 | 2004.03821,2004.06836,etc |
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