Performance Analysis of Backhaul-Aware User Association in 5G Ultradense Heterogeneous Networks

In 5G ultradense heterogeneous networks, wireless backhaul, as one of the important base station (BS) resources that affect user services, has attracted more and attention. However, a would access to BS which is nearest for based on conventional association scheme, constrains network performance improvement due limited backhaul capacity. this paper, using backhaul-aware semiclosed expressions metrics are derived in including coverage probability, rate coverage, delay. Specifically, all possible links within connectable range BSs anchor stations (A-BSs) considered minimize analytical results outage probability. The occurs only when link or forms combination with optimal failure. Furthermore, theoretical analysis numerical evaluate impact fraction A-BSs BS-to-user density ratio metric seek reasonable deployment practical scenario. simulation show probability scheme improved significantly by about 2× compared constrained.