Exact parameter-free formulas for near-user outage probability and ergodic capacity in two-user NOMA are derived by using joint PDFs of post-SIC noise and fading, revealing that legacy Gaussian and residual-factor models misestimate results and that the residual factor depends on power allocation, 1
Exploiting deep learning in the performance evaluation of EH-based coo rdinated direct and relay transmission system with cognitive NOMA,
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Exact Outage Probability and Ergodic Capacity Analysis of NOMA in Rayleigh Fading Channels
Exact parameter-free formulas for near-user outage probability and ergodic capacity in two-user NOMA are derived by using joint PDFs of post-SIC noise and fading, revealing that legacy Gaussian and residual-factor models misestimate results and that the residual factor depends on power allocation, 1