Tensor-based approach for blind separation of interleave-NOMA 5G system

Abstract

Nowadays, wireless broadband communication has experienced tremendous growth. The requirement for various new and advanced multiple access techniques is constantly increasing. The interleave division multiple access (IDMA) technique has attracted the attention of the scientific community as an opportune code domain non-orthogonal multiple access (NOMA) for future communication standards. In this system, the detection of the signals received from different users is done by specific interleavers.In this paper, and regarding the transmission-rate loss caused by the use of spreading codes and interleavers in the IDMA systems, we are going to place ourselves in a blind separation context for IDMA signals. For this purpose, a study of a purely deterministic approach, which is the tensor decomposition, as well as a theoretical study of the Canonical Polyadic (CP) model’s existence and uniqueness issues, is also carried out. Then, a tensor modeling of the IDMA emitter and the proposal of a new form of the interleavers will be undertaken. The separation and equalization of received signals using the CP tensor decomposition compelled us to examine the methods utilized to carry out this decomposition, as well as suggest two iterative blind receivers that take use of the algebraic features of the suggested model. On the other hand, the application of an exact performance criterion will be performed, taken into account the scale and permutation indeterminacy constraints.