An Optimization-based Self-Healing Algorithm in Wi-Fi Networks Using Adaptive Power Ranges and SINR Thresholds

Wi-Fi wireless communication has become a basic service in public areas. But the quality would not be good due to the influential factors: 1) limited numbers of non-overlapping channels, 2) un-planned deployment will cause interference, and 3) the distribution of customers is changed rapidly. It results the traffic distribution is not uniformed. Moreover, the services may not be available due to the failure of APs(Access Points). There is not a well-defined healing mechanism for solving this problem. In this paper, the problems of AP failure and interference are concerned. We propose a Self-Healing algorithm to provide seamless and reliable service based on scenarios of AP failure. The aim of this work is to maximize the minimum gap between actual delay and tolerable delay, and to satisfy each user''s demands simultaneously. Variable transmission power range is adjusted to achieve the optimal solution. Cell breathing is also adopted to solve the problem of AP is out of service. So that user fairness of resource allocation and user''s Quality of Service(QoS) can be satisfied.