… These factors are crucial in evaluating the performance of the SIC methods presented in this
… We propose a novel mathematical modeling approach specifically designed for nonlinear …

… The use of hybrid SIC and BackCom yields two non-concave sub-problems involving … ,
this paper designs and compares convex optimization-based and unsupervised deep learning-…

… learning with the conventional methods in possession of perfect channel knowledge and
imperfect … At the same time, better robustness can be achieved in condition of imperfect channel …

… works on NOMA, the design of the SIC decoding order is prefixed and … imperfect CSI could
lead to a situation, where an inappropriate SIC decoding order is selected and hence SIC …

… Therefore, the effect of imperfect SIC becomes greater in the first phase in SWIPT-NOMA-CRS
since the imperfect SIC effect depends on the source power given in (15). In addition to …

… in a NOMA system with imperfect SIC, in which the strong user … a downlink NOMA system
with imperfect SIC, where a BS … the SU in both PGS and IGS designs at extreme SNRs and find …

… the very basic way of implementing SIC at the receiver side in the … SIC receivers by deep
neural networks and obtain performance improvement over basic SIC receivers under imperfect …

… Without loss of generality, using SIC technology, we assume that the channel gains of the …
imperfect SIC is done at each relay and users, ie, some residual interference remains after SIC…

… Beamforming optimization under imperfect SIC or HWI is the robust transmission design …
design is the opposite. The imperfect SIC and HWI are both caused by the imperfect hardware. …

… Critically, we consider a challenging but practical aspect: imperfect CSI. C2 We present two
… We define the maximum decoding capacity of SIC as κ, where SIC decoding is successful in …