Cost Efficiency Optimization of 5G Wireless Backhaul Networks

TL;DR

This paper proposes an optimization framework for deploying gateways and routing in 5G wireless backhaul networks to maximize cost efficiency, considering different time scales and channel variability.

Contribution

It introduces a novel joint optimization approach for gateway deployment and routing in 5G backhaul networks, improving cost efficiency over traditional algorithms.

Findings

Significant increase in cost efficiency through optimized gateway deployment and routing.

Proposed algorithm outperforms shortest path and Bellman-Ford algorithms.

Effective handling of time-variant wireless channel conditions.

Abstract

The wireless backhaul network provides an attractive solution for the urban deployment of fifth generation (5G) wireless networks that enables future ultra dense small cell networks to meet the ever-increasing user demands. Optimal deployment and management of 5G wireless backhaul networks is an interesting and challenging issue. In this paper we propose the optimal gateways deployment and wireless backhaul route schemes to maximize the cost efficiency of 5G wireless backhaul networks. In generally, the changes of gateways deployment and wireless backhaul route are presented in different time scales. Specifically, the number and locations 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 considering the time-variant over wireless channels. Numerical results show the gateways and wireless backhaul route optimization significantly increases the cost efficiency of 5G wireless backhaul networks. Moreover, the cost efficiency of proposed optimization algorithm is better than that of conventional and most widely used shortest path (SP) and Bellman-Ford (BF) algorithms in 5G wireless backhaul networks.