Optimal transmitter placement using the ray-tracing technique considering received power and load balancing
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In this paper, we propose an optimization technique for transmitter placement that can deliver stable received power in an area of interest and properly distribute the traffic of each transmitter. For optimal transmitter placement, the received power delivered to receiver points must be predicted. Because the indoor radio environment, such as the received power distribution, fluctuates through indoor structures and their materials, for a more specific analysis, we use the deterministic ray tube method, one of the ray-tracing techniques. A genetic algorithm is applied to achieve traffic load-balancing and received power distribution. Therefore, the proposed method can be used in complex indoor environments, resulting in optimal positions and a minimum number of transmitters. In addition, the proposed optimization technique verifies to offer the required traffic for each user and to distribute high received power in any interested region.
Abstract
In this paper, we propose an optimization technique for transmitter placement that can deliver stable received power in an area of interest and properly distribute the traffic of each transmitter. For optimal transmitter placement, the received power delivered to receiver points must be predicted. Because the indoor radio environment, such as the received power distribution, fluctuates through indoor structures and their materials, for a more specific analysis, we use the deterministic ray tube method, one of the ray-tracing techniques. A genetic algorithm is applied to achieve traffic load-balancing and received power distribution. Therefore, the proposed method can be used in complex indoor environments, resulting in optimal positions and a minimum number of transmitters. In addition, the proposed optimization technique verifies to offer the required traffic for each user and to distribute high received power in any interested region.