Slicing Based Resource Allocation for Multiplexing of eMBB and URLLC Services in 5G Wireless Networks
Praveen Kumar Korrai, Eva Lagunas, Shree Krishna Sharma, Symeon Chatzinotas, Björn Ottersten · 2019
The next generation of wireless networks is intended to accommodate two major services: enhanced mobile broadband (eMBB), and ultra-reliable and low-latency communications (URLLC). The eMBB applications require higher data rates while URLLC applications require a stringent latency and high transmission success probability (i.e., reliability). The multiplexing of eMBB and URLLC services on the same network infrastructure leads to a challenging resource optimization problem. In this paper, we formulate the network slicing problem in the context of time-frequency resource blocks (RBs) allocation to the wireless system consisting of eMBB and URLLC users. In particular, we address the sum-rate maximization problem subject to latency and slice isolation constraints while assuring certain reliability requirements with the use of adaptive modulation coding (AMC). We relax the mathematical intractability of AMC and binary assignment variable and show the effectiveness of the proposed approach through numerical simulations.