Hybrid Network Slicing Technique for Co-existence of eMBB and URLLC Services in 6G-IoT Systems

G wireless networks will serve billions of Internet of Thing (IoT) devices with stringent latency and reliability requirements for various applications. Therefore, the three service classes introduced by 5G systems: Enhanced Mobile Broad Band (eMBB), Ultra-Reliable and Low-Latency Communications (URLLC) and massive Machine-Type Communications (mMTC), have to meet stricter requirements in $\mathbf{6 G}$ systems. In this paper, we design a novel hybrid network slicing technique comprised of both orthogonal and non-orthogonal slicing schemes to achieve the optimal sum rates for joint eMBB and URLLC services. With the help of power inversion and Successive Interference Cancellation (SIC) in Non-Orthogonal Multiple Access (NOMA), we allow different combinations of frequency resources for Orthogonal Multiple Access (OMA) and NOMA to design frequency diversity-aided hybrid network slicing, which can accommodate multiple URLLC IoT users in the uplink communication. We perform an extensive numerical investigation to analyze the sum rates of eMBB and URLLC IoT users given average channel gain and reliability requirements for each service class, and show that the proposed hybrid technique outperforms OMA and NOMA in terms of maximum sum rates of both service classes.