Joint APs Selection and Resource Allocation for Self-Healing in Ultra Dense Network

Self-healing is expected as one of the fundamental functionalities to alleviate the impact of unforeseen network failure and maintain normal operation autonomously in future wireless network. However, the dynamic topology and complex communications environment bring significant challenges for enabling self-healing functionality in ultra dense network(UDN). Thus, to provide a reliable and seamless service for users in the case of access point(AP) failed in UDN, we propose a self-healing scheme. In this scheme, we associate impacted users (served originally by failed AP) with the rest of normal APs to improve the efficiency of resource utilization and avoid load congestions. Then each normal AP performs resource allocation for supporting its own users as well as impacted users autonomously. Eventually, we model the self-healing problem into a multi-dimensional optimization problem and propose a joint optimization algorithm to solve the problem. Numerical results show that the proposed scheme achieves a better performance compared with exiting schemes in terms of the system energy efficiency(EE).