  Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR)
application that requires strict reliability and latency. URLLC traffic is
usually scheduled on top of the ongoing enhanced Mobile Broadband (eMBB)
transmissions (i.e., puncturing the current eMBB transmission) and cannot be
queued due to its hard latency requirements. In this letter, we propose a
risk-sensitive based formulation to allocate resources to the incoming URLLC
traffic while minimizing the risk of the eMBB transmission (i.e., protecting
the eMBB users with low data rate) and ensuring URLLC reliability.
Specifically, the Conditional Value at Risk (CVaR) is introduced as a risk
measure for eMBB transmission. Moreover, the reliability constraint of URLLC is
formulated as a chance constraint and relaxed based on Markov's inequality. We
decompose the formulated problem into two subproblems in order to transform it
into a convex form and then alternatively solve them until convergence.
Simulation results show that the proposed approach allocates resources to the
incoming URLLC traffic efficiently while satisfying the reliability of both
eMBB and URLLC.
