Resource allocation of Multi-service Network Slicing based on SCMA

Sparse code multiple access (SCMA) is a non-orthogonal multiple-access technique, and how to apply it to enhanced mobile broadband (eMBB) and ultrareliable low latency communication (URLLC) coexisting multiservice network slices is a serious challenge. The correlation among subcarriers, codebooks, users and power allocation are all issues that need to be solved by this system. Thus, we propose a SCMA-based slicing model for multi-service networks, and design a heuristic greedy algorithm and a power allocation algorithm based on Karush-Kuhn-Tucker conditions (KKT). The former obtains a sub-optimal solution of the problem by assigning codebooks to users and performing subcarrier matching, and the latter obtains the optimal solution of power allocation by the KKT condition. The simulation results demonstrate the feasibility of the algorithm and show that the SCMA scheme can achieve higher energy efficiency compared with the Orthogonal Multiple Access (OMA) scheme.