Smart factories require wireless networks capable of supporting diverse applications with stringent and heterogeneous quality of service (QoS) demands. Network slicing enables this by virtualizing resources into isolated slices optimized for specific service types. To effectively manage scarce radio resources and ensure seamless support for mixed-traffic industrial users, this paper proposes a suite of slice-aware resource allocation (RA) frameworks encompassing power and subchannel (SC) allocation for both uplink (UL) and downlink (DL) in industrial time-division duplexing (TDD)-orthogonal frequency division multiple access (OFDMA) networks. We transform diverse QoS constraints—latency, reliability, jitter, and throughput—into unified rate expressions enabling tractable convex optimization across three slice types: capacity limited (CL) for best-effort traffic, ultra-reliable low-latency communication (URLLC) for mission-critical control, and time sensitive (TS) for deterministic periodic traffic. The framework incorporates dynamic TDD adaptation for asymmetric traffic patterns and admission control to manage congestion. The effectiveness of the proposed algorithms in reducing energy consumption while guaranteeing slice-specific QoS is validated using realistic industrial ray-tracing channels and extensive simulations.
Ochonu et al. (Mon,) studied this question.