Dynamic RAN Slicing with Effective Isolation under Imperfect CSI

Abstract

Network slicing is a key technology for addressing the issue of differentiated performance requirements of diversified services in mobile networks. Radio access network (RAN) slicing is a challenging task, as different levels of isolation requirements need to be considered. In this work, we investigate a network slicing problem for the downlink RAN of a cellular network and focus on three major 5G services, namely Ultra-Reliable Low-delay Communication (URLLC), and Large-scale Machine Type Communication (mMTC), Enhanced Mobile Broadband (eMBB). To be more practical, only the imperfect channel state information (CSI) is assumed to be available at the base station (BS) and allocate time-frequency resources dynamically to users through Lyapunov optimization, while ensuring slice isolation and setting different Quality-of-Service (QoS) requirements according to different slice types. Due to the scarcity of wireless resources, this paper aims to reduce resource usage. Simulation shows that this experiment is effective in ensuring QoS requirements, providing isolation and minimizing resource consumption.