Optimized algorithm for cellular network planning based on terrain and demand analysis

This paper proposes a new algorithm to solve cellular layout design problem (CLDP) taking terrain variation and traffic demand into consideration. Based on the nature of the terrain, user distribution, user demand, and growth rate, the distribution of the cells is specified. The proposed algorithm has been simulated for the area with flat terrain and compared with other existing algorithms. It is found that it reduces the cost of physical resources by 11.8% compared with the existing solutions. It is also found that the cost of the network increases as the terrain variance increases. However, the proposed algorithm keeps the cost to its minimum values by considering repeaters to meet the traffic demand within the blind spots