Deployment of 5G Networking Infrastructure with Machine Type Communication Considerations

摘要

Designing optimal strategies to deploy small cell stations is crucial to meetthe quality-of-service requirements in next-generation cellular networks withconstrained deployment costs. In this paper, a general deployment framework isproposed to jointly optimize the locations of backhaul aggregate nodes, smallbase stations, machine aggregators, and multi-hop wireless backhaul links toaccommodate both human-type and machine-type communications. The goal is toprovide deployment solutions with best coverage performance under costconstraints. The formulated problem is shown to be a multi-objective integerprogramming for which it is challenging to obtain the optimal solutions. Tosolve the problem, a heuristic algorithm is proposed by combining Lagrangianrelaxation, the weighted sum method, the $\epsilon$-constraint method and tabusearch to obtain both the solutions and bounds, for the objective function.Simulation results show that the proposed framework can provide solutions withbetter performance compared with conventional deployment models in scenarioswhere available fiber connections are scarce. Furthermore, the gap betweenobtained solutions and the lower bounds is quite tight.