Joint Traffic Offloading and Aging Control in 5G IoT Networks

The widespread adoption of 5G cellular technology is becoming the major driver for the growth of IoT-based applications. In this paper we consider a Mobile Service Provider (MSP) that launches a smart city service based on IoT data readings. In order to serve IoT data collected across different locations, the MSP dynamically negotiates and rescales bandwidth and service functions. 5G network slicing functions are key to lease appropriate amount of resources over heterogeneous access technologies and different site types. Also, different infrastructure providers will charge slicing service depending on specific access technology supported across regional sites and IoT data collection patterns.We introduce a pricing mechanism based on Age of Information (AoI) to reduce the cost of MSPs. It provides incentives for devices to smooth traffic by shifting part of the traffic load from highly congested and more expensive locations to lesser charged ones, while meeting QoS requirements of the IoT service. The proposed optimal pricing scheme comprises a two-stage decision process, where the MSP determines the pricing of each location and devices schedule uploads of collected data based on the optimal uploading policy. Simulations show that the MSP attains consistent cost reductions tuning the trade-off between slicing costs and the AoI of uploaded IoT data.