Two-scale cost efficiency optimization of 5G wireless backhaul networks

To cater for the demands of future fifth generation (5G) ultra-dense small cell networks, the wireless backhaul network is an attractive solution for the urban deployment of 5G wireless networks. Optimization of 5G wireless backhaul networks is a key issue. In this paper we propose a two-scale optimization solution to maximize the cost efficiency of 5G wireless backhaul networks. Specifically, the number and positions of gateways are optimized in the long time scale of 5G wireless backhaul networks. The wireless backhaul routings are optimized in the short time scale of 5G wireless backhaul networks. Numerical results show the cost efficiency of proposed optimization algorithm is better than the cost efficiency of conventional and most widely used shortest path (SP) algorithm in 5G wireless backhaul networks. Submitted to IEEE transaction on Wireless Communications.