Abstract
To cope with the limited radio and power resources, designing energy- and cost-efficient resource allocation strategy with RAN slicing and scheduling is important in ensuring the extreme QoS of differentiated Internet of things (IoT) services. In this regard, we focus on guaranteeing the latency and reliability of sporadic uRLLC uplink traffic while improving the quality of continuous eMBB services (e.g., quality of the video) together in this paper. Firstly, a dynamic optimization model considering power consumption and service quality is used to construct the cost function in both time domain and frequency bandwidth for heterogeneous services, subject to the latency constraint. Secondly, given its complexity, a novel two-timescale algorithm with employing Lyapunov optimization is designed, including two sub-algorithms: long-timescale bandwidth allocation and short-timescale service control. In further, the theoretical optimality is analyzed according to the relationships between control parameters and service performances. The utility of our approach and its hard latency guarantee are also illustrated through simulation results under tolerable power consumption.
Highlights
As the evolution of wireless technologies, one important motivation of the future cellular networks is to support heterogeneous services which have distinctive and extreme requirements for network performance
We address the problem with an alternative minimization algorithm including two sub-algorithms: the latency and transmit power control (LTPC) for ultra-reliable low latency communication (uRLLC) services and service quality decision (SQD) for enhanced mobile broadband (eMBB) services using network slicing technology
In this paper, we propose a dynamic resource allocation algorithm with radio access network (RAN) slicing and heterogeneous services scheduling, in order to ensure the extreme QoS of differentiated Internet of things (IoT) services
Summary
As the evolution of wireless technologies, one important motivation of the future cellular networks is to support heterogeneous services which have distinctive and extreme requirements for network performance. RAN resource needs to be dynamically sliced and scheduled according to the preference of heterogeneous services and future information (e.g., service demands and channel states) in order to keep or update the assignment in case of traffic or service changes Such knowledge is difficult to predict because of time-varying characteristic and so on. The aforementioned two respects raise extreme challenges for dynamical RAN slicing and scheduling framework to accommodate hybrid services In this regard, this paper proposes a dynamic resource allocation scheme, aiming at jointly optimizing the power consumption and bandwidth allocation while satisfying the corresponding latency for sporadic uRLLC traffic arrivals and the quality of eMBB services as much as possible.
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