  The 5th generation (5G) and beyond network offers substantial promise as the
ideal wireless technology to replace the existing inflexible wired connections
in traditional factories of today. 5G network slicing allows for tailored
allocation of resources to different network services, each with unique Quality
of Service (QoS) requirements. This paper presents a novel solution for
slice-aware radio resource allocation based on a convex optimisation and
control framework for applications in smart factory wireless networks. The
proposed framework dynamically allocates minimum power and sub-channels to
downlink mixed service type industrial users categorised into three slices:
Capacity Limited (CL), Ultra Reliable Low Latency Communication (URLLC), and
Time Sensitive (TS) slices. Given that the base station (BS) has limited
transmission power, we enforce admission control by effectively relaxing the
target rate constraints for current connections in the CL slice. This rate
readjustment occurs whenever power consumption exceeds manageable levels.
Simulation results show that our approach minimises power, allocates
sub-channels to users, maintains slice isolation, and delivers QoS-specific
communications to users in all the slices despite time-varying number of users
and changing network conditions.
