Sensor-assisted coverage self-optimization for wireless local area network

Coverage optimization is a big challenge for wireless local area network (WLAN) deployment. The most common problems in coverage are coverage hole and interference. Traditional approaches exploit knowledge of the propagation environment to obtain static network planning and optimization, thus are not adaptable to the changes of environment and network topology. In this paper, a coverage self-optimization solution is proposed for WLAN, which adjusts the power of each beam of access points based on sensor measurement, and the Received Signal Strength (RSS) and Signal-to-Interference ratio (SIR) targets of the sensors to self-optimize coverage performance. Simulation shows that by implementing the proposed solution, coverage problems can be identified and solved adaptively.