Joint PRB and Power Allocation for Slicing eMBB and URLLC Services in 5G C-RAN

Abstract

Efficient allocation of resources (i.e., physical resource blocks (PRBs), transmit power) for remote radio heads (RRHs) in the fifth generation (5G) cloud radio access network (C-RAN) is crucial for the mobile network operators (MNOs) to support different use cases with diverse quality of service (QoS) requirements. In this paper, we study the resource allocation of enhanced mobile broadband (eMBB) and ultra-reliable lowlatency communications (URLLC) network slices in a 5G C-RAN. We formulate the resource allocation problem as a mixedinteger nonlinear program. We address the isolation between eMBB and URLLC network slices and the uncertainty in the traffic load by using the chance constraint. We consider short packet transmission to enable URLLC data transmission with low latency and high reliability. We propose an algorithm based on penalized successive convex approximation to determine a suboptimal solution of the formulated problem. The proposed algorithm has a polynomial time complexity. Simulation results show that the proposed algorithm on average achieves 30% higher throughput when compared with a baseline scheme that only optimizes the transmit power of users.