| channel state information | CSI | 774 | 37 | 2.00319 | 2011.00076,2011.00203,etc |
| base station | BS | 1073 | 31 | 2.007331 | 2011.00076,2011.00203,etc |
| multiple input multiple output | MIMO | 303 | 26 | 1.002214 | 2011.00076,2011.00203,etc |
| additive white gaussian noise | AWGN | 73 | 23 | 1.000865 | 2011.00076,2011.00203,etc |
| partial differential equation | PDE | 121 | 21 | 1.001152 | 2011.00291,2011.00315,etc |
| internet of things | IoT | 89 | 17 | 1.001088 | 2011.00451,2011.01533,etc |
| unmanned aerial vehicle | UAV | 689 | 14 | 2.009533 | 2011.00463,2011.01065,etc |
| mean squared error | MSE | 180 | 13 | 2.001591 | 2011.00738,2011.00903,etc |
| access point | AP | 444 | 12 | 2.0046 | 2011.00203,2011.00903,etc |
| signal to interference plus noise ratio | SINR | 128 | 12 | 2.002382 | 2011.00490,2011.00903,etc |
| european research council | ERC | 12 | 12 | 1.000059 | 2011.01732,2011.02015,etc |
| ordinary differential equation | ODE | 69 | 11 | 1.000682 | 2011.00023,2011.02835,etc |
| intelligent reflecting surface | IRS | 985 | 11 | 1.006205 | 2011.00738,2011.02237,etc |
| discontinuous galerkin | DG | 200 | 11 | 2.003534 | 2011.00820,2011.00906,etc |
| deutsche forschungsgemeinschaft | DFG | 15 | 11 | 1.000145 | 2011.01491,2011.02192,etc |
| non orthogonal multiple access | NOMA | 235 | 10 | 2.004743 | 2011.00076,2011.03147,etc |
| orthogonal frequency division multiplexing | OFDM | 145 | 10 | 2.002214 | 2011.00203,2011.00230,etc |
| finite element method | FEM | 216 | 9 | 1.005529 | 2011.00141,2011.00291,etc |
| user equipment | UE | 359 | 9 | 2.005732 | 2011.00203,2011.02138,etc |
| uniform linear array | ULA | 20 | 9 | 1.000266 | 2011.00203,2011.00738,etc |
| three dimensional | 3D | 27 | 9 | 1.000893 | 2011.00738,2011.01065,etc |
| quality of service | QoS | 91 | 9 | 1.00058 | 2011.01511,2011.02237,etc |
| single input single output | SISO | 42 | 9 | 1.000467 | 2011.03232,2011.05019,etc |
| stochastic differential equation | SDE | 142 | 8 | 2.004207 | 2011.00023,2011.00075,etc |
| central limit theorem | CLT | 23 | 8 | 1.00035 | 2011.00075,2011.01343,etc |
| karush kuhn tucker | KKT | 32 | 8 | 1.000394 | 2011.00076,2011.02258,etc |
| reinforcement learning | RL | 57 | 8 | 1.001336 | 2011.01815,2011.01840,etc |
| reconfigurable intelligent surface | RIS | 626 | 8 | 2.010021 | 2011.05612,2011.05619,etc |
| decode and forward | DF | 216 | 8 | 2.004978 | 2011.05612,2011.05619,etc |
| broadcast channel | BC | 154 | 7 | 2.002904 | 2011.00076,2011.00889,etc |
| maximum ratio combining | MRC | 38 | 7 | 1.003528 | 2011.00203,2011.01533,etc |
| alternating direction method of multipliers | ADMM | 139 | 7 | 2.003258 | 2011.00463,2011.02281,etc |
| non line of sight | NLOS | 19 | 7 | 1.00026 | 2011.00903,2011.01840,etc |
| finite element | FE | 168 | 7 | 2.005138 | 2011.01338,2011.02600,etc |
| multiple input single output | MISO | 36 | 7 | 1.000637 | 2011.02237,2011.03210,etc |
| markov chain monte carlo | MCMC | 28 | 7 | 1.000212 | 2011.02835,2011.04493,etc |
| time division multiple access | TDMA | 45 | 7 | 1.003326 | 2011.03690,2011.04286,etc |
| linear matrix inequality | LMI | 21 | 7 | 1.000654 | 2011.03716,2011.03726,etc |
| successive interference cancellation | SIC | 74 | 6 | 1.00232 | 2011.00076,2011.01511,etc |
| time division duplex | TDD | 13 | 6 | 1.000334 | 2011.00076,2011.00203,etc |
| fifth generation | 5G | 50 | 6 | 2.000951 | 2011.00203,2011.00903,etc |
| hamilton jacobi bellman | HJB | 75 | 6 | 1.002628 | 2011.00293,2011.04211,etc |
| model predictive control | MPC | 76 | 6 | 1.002738 | 2011.00463,2011.01282,etc |
| stochastic gradient descent | SGD | 19 | 6 | 1.000605 | 2011.00667,2011.02749,etc |
| zero forcing | ZF | 56 | 6 | 1.001708 | 2011.00903,2011.01533,etc |
| successive convex approximation | SCA | 45 | 6 | 1.00092 | 2011.01511,2011.03726,etc |
| maximum likelihood | ML | 30 | 6 | 2.000858 | 2011.03147,2011.04930,etc |
| amplify and forward | AF | 103 | 6 | 1.003685 | 2011.05619,2011.06680,etc |
| boundary value problem | BVP | 92 | 6 | 2.003223 | 2011.06839,2011.07723,etc |
| minimum mean squared error | MMSE | 52 | 5 | 2.001456 | 2011.00224,2011.01533,etc |
| bit error rate | BER | 72 | 5 | 2.002935 | 2011.00224,2011.03177,etc |
| deep neural network | DNN | 54 | 5 | 2.001473 | 2011.00903,2011.02749,etc |
| two dimensional | 2D | 59 | 5 | 1.001647 | 2011.00906,2011.00934,etc |
| alternating optimization | AO | 14 | 5 | 2.000303 | 2011.02237,2011.04339,etc |
| semidefinite programming | SDP | 18 | 5 | 1.000319 | 2011.02509,2011.03726,etc |
| convolutional neural network | CNN | 35 | 5 | 1.001388 | 2011.02852,2011.03971,etc |
| outage probability | OP | 127 | 5 | 2.00108 | 2011.03182,2011.07760,etc |
| frequency division duplex | FDD | 33 | 4 | 1.001668 | 2011.00076,2011.07242,etc |
| spectral efficiency | SE | 266 | 4 | 2.008076 | 2011.00203,2011.02138,etc |
| central processing unit | CPU | 51 | 4 | 2.001353 | 2011.00203,2011.06680,etc |
| angle of arrival | AoA | 8 | 4 | 1.000303 | 2011.00203,2011.00451,etc |
| minimum mean square error | MMSE | 19 | 4 | 2.000223 | 2011.00203,2011.03182,etc |
| approximate message passing | AMP | 163 | 4 | 1.006878 | 2011.00224,2011.00495,etc |
| free space optical | FSO | 118 | 4 | 2.003323 | 2011.00230,2011.05612,etc |
| symbol error rate | SER | 140 | 4 | 2.00273 | 2011.00490,2011.02792,etc |
| uniform planar array | UPA | 6 | 4 | 1.000054 | 2011.00738,2011.02237,etc |
| conjugate gradient | CG | 207 | 4 | 2.008771 | 2011.01201,2011.01369,etc |
| kullback leibler | KL | 81 | 4 | 2.008008 | 2011.01369,2011.02560,etc |
| linear program | LP | 19 | 4 | 2.000759 | 2011.01511,2011.02752,etc |
| direct current | DC | 24 | 4 | 2.001523 | 2011.01533,2011.03210,etc |
| gradient descent | GD | 29 | 4 | 2.000748 | 2011.01922,2011.03293,etc |
| linear quadratic regulator | LQR | 44 | 4 | 2.001179 | 2011.01924,2011.02196,etc |
| identically distributed | IID | 12 | 4 | 1.000428 | 2011.02258,2011.03210,etc |
| neural network | NN | 111 | 4 | 1.004596 | 2011.02281,2011.02692,etc |
| ornstein uhlenbeck | OU | 179 | 4 | 2.00532 | 2011.02733,2011.05690,etc |
| new radio | NR | 78 | 4 | 2.001927 | 2011.03182,2011.04930,etc |
| physical layer security | PLS | 22 | 4 | 1.000865 | 2011.03210,2011.04339,etc |
| orthogonal multiple access | OMA | 206 | 4 | 2.006527 | 2011.03690,2011.05051,etc |
| full duplex | FD | 55 | 4 | 1.005963 | 2011.03726,2011.04286,etc |
| half duplex | HD | 17 | 4 | 2.001975 | 2011.04286,2011.07955,etc |
| mixed integer programming | MIP | 33 | 4 | 2.000756 | 2011.04357,2011.05894,etc |
| cloud radio access network | C-RAN | 7 | 4 | 1.000178 | 2011.05019,2011.06484,etc |
| partial differential equations | PDE | 25 | 4 | 1.000429 | 2011.05031,2011.05200,etc |
| average channel capacity | ACC | 43 | 4 | 2.001508 | 2011.07760,2011.09051,etc |
| rate splitting multiple access | RSMA | 57 | 3 | 2.003798 | 2011.00076,2011.05019,etc |
| degrees of freedom | DoF | 8 | 3 | 1.000116 | 2011.00076,2011.03009,etc |
| difference of convex | DC | 39 | 3 | 2.002387 | 2011.00076,2011.04339,etc |
| visible light communications | VLC | 83 | 3 | 1.004989 | 2011.00230,2011.08327,etc |
| world health organization | WHO | 3 | 3 | 1.00001 | 2011.00293,2011.01036,etc |
| linear minimum mean square error | LMMSE | 53 | 3 | 1.005173 | 2011.00490,2011.06680,etc |
| isogeometric analysis | IGA | 16 | 3 | 1.000434 | 2011.00645,2011.01622,etc |
| boundary element method | BEM | 8 | 3 | 1.000065 | 2011.00645,2011.06417,etc |
| runge kutta | RK | 27 | 3 | 2.00095 | 2011.00671,2011.02835,etc |
| circularly symmetric complex gaussian | CSCG | 5 | 3 | 1.000277 | 2011.00738,2011.01511,etc |
| istituto nazionale di alta matematica | INdAM | 3 | 3 | 1.00006 | 2011.00798,2011.06889,etc |
| deep learning | DL | 48 | 3 | 2.001536 | 2011.00903,2011.02692,etc |
| one dimensional | 1D | 46 | 3 | 1.00129 | 2011.00934,2011.01295,etc |
| intensive care unit | ICU | 70 | 3 | 2.000888 | 2011.01036,2011.01282,etc |
| stochastic partial differential equation | SPDE | 20 | 3 | 1.001086 | 2011.01115,2011.02341,etc |
| optimal control problem | OCP | 17 | 3 | 1.000107 | 2011.01282,2011.01924,etc |
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