The fifth generation of wireless network (5G) is a recent networking technology able to provide numerous advantages compared to the previous generations of wireless networks. 5G is a packet switched wireless system with extended coverage and high speed. It is designed to reduce latency and improve service flexibility. However, the number of mobile users and services has substantially increased over the last years, hence the need in improving the network capacity and coverage. The goal is to ensure a good quality of service and satisfy the increased user’s request. In this work, we are interested in coverage planning for a 5G network. The aim is to determine the optimal number of base stations (gNodeB) to be used in the network with minimum total power consumption. These stations must be well positioned so as to have maximum coverage of the area to be covered. We try to solve this problem by using a meta-heuristic approach. The proposed approach is based on the Grey wolf optimizer. We consider as a geographical area the City of Oran situated in the north of Algeria to evaluate our approach. The numerical results are interesting and show the applicability of the proposed approach for wireless networks optimization.