User-Centric Task-Aware On-Demand Small Cell Deployment for Home Monitoring

Home monitoring has been perceived as a promising service by the framework of Healthcare 4.0, providing remote digitalized network to users in a distributed manner. Small cell (SC), as an emerging technology in 5G, has been commonly acknowledged to support home monitoring, due to its nature of distribution and scalability. Although widely adopted, research efforts are still required towards user-centric on-demand SC deployment for home monitoring. In this paper, on-demand SC deployment is formulated as a multi-criteria optimization problem of task-aware latency and power consumption minimization, meanwhile ensuring network-level Quality of Experience (QoE), simultaneously. The problem is solved by the proposed on-demand SC deployment algorithm, based on the emerging Technique for Order of Preference by Similarity to Ideal Solution with Attribute-based Niche count (TOPANSIS). Simulation results show that the proposed algorithm outperforms the previous work with enhanced latency and power consumption, meanwhile ensuring QoE towards user-centric home monitoring.