Delay-Aware Resource Allocation for Network Slicing in Fog Radio Access Networks

Abstract

To meet diverse quality of service (QoS) requirements in fifth generation (5G) wireless networks, network slicing is proposed as a cost-efficient way to allow operators to provide customized services. On the other hand, fog radio access network (F-RAN) has emerged as a promising network architecture to satisfy different QoS requirements in distinct application scenarios. To make the network slicing work more efficiently, a downlink F-RAN, equipped with a ultra-reliable and low-latency communication (URLLC) slice and an enhanced mobile broadband (eMBB) slice logically, is concerned in this paper. A delay-aware resource allocation optimization problem is formulated, aiming to maximize the throughput of the eMBB slice as well as guarantee the queuing delay performance of the URLLC slice. The delay-aware optimization problem is reformulated as a perslot joint resource block (RB) and power allocation problem, which is addressed by Lagrange dual decomposition method. Simulation results show a tradeoff between the throughput and the queuing delay of eMBB slice can be achieved while satisfying the delay constraint of URLLC slice.