| 1 | signal to noise ratio | SNR | 128 | 12 | 2.003213 | 0906.0037,0906.0247,etc |
| 2 | channel state information | CSI | 117 | 7 | 1.004898 | 0906.0037,0906.0247,etc |
| 3 | multiple input multiple output | MIMO | 100 | 6 | 2.001496 | 0906.0037,0906.2252,etc |
| 4 | quality of service | QoS | 76 | 6 | 1.002297 | 0906.3352,0906.3782,etc |
| 5 | singular value decomposition | SVD | 28 | 5 | 2.000507 | 0906.0037,0906.1544,etc |
| 6 | additive white gaussian noise | AWGN | 7 | 5 | 1.000095 | 0906.0247,0906.3192,etc |
| 7 | restricted isometry property | RIP | 28 | 5 | 2.000647 | 0906.0593,0906.1487,etc |
| 8 | theorem | Theorem | 90 | 5 | 2.001599 | 0906.1074,0906.3125,etc |
| 9 | dirty paper coding | DPC | 34 | 4 | 1.003993 | 0906.1603,0906.1618,etc |
| 10 | stochastic differential equation | SDE | 133 | 4 | 2.004592 | 0906.2094,0906.2794,etc |
| 11 | two dimensional | 2D | 17 | 3 | 1.001074 | 0906.0087,0906.2372,etc |
| 12 | nonlinear schr"odinger equation | NLS | 23 | 3 | 2.000955 | 0906.0203,0906.0351,etc |
| 13 | orthogonal matching pursuit | OMP | 46 | 3 | 1.002017 | 0906.0964,0906.3173,etc |
| 14 | basis pursuit | BP | 25 | 3 | 2.000705 | 0906.0964,0906.3173,etc |
| 15 | lemma | Lemma | 103 | 3 | 2.002471 | 0906.1034,0906.1957,etc |
| 16 | markov chain monte carlo | MCMC | 45 | 3 | 2.001512 | 0906.1055,0906.2359,etc |
| 17 | maximum likelihood | ML | 18 | 3 | 2.001159 | 0906.1339,0906.3816,etc |
| 18 | multiple access channel | MAC | 47 | 3 | 1.005057 | 0906.1603,0906.3821,etc |
| 19 | partial differential equation | PDE | 42 | 3 | 2.000526 | 0906.2206,0906.3600,etc |
| 20 | minimum mean square error | MMSE | 34 | 3 | 1.000573 | 0906.3352,0906.3667,etc |
| 21 | signal to interference plus noise ratio | SINR | 41 | 3 | 1.001145 | 0906.3352,0906.3682,etc |
| 22 | base station | BS | 36 | 3 | 2.003255 | 0906.3864,0906.4589,etc |