User Throughput Estimation for the PF Scheduling Algorithm under MIMO Channel Environments

In cellular systems, user throughput estimation is needed for cell-site selection, handover design, etc. This letter introduces long-term average user throughput estimation methods for the proportional fair (PF) scheduling algorithm under multiple-input multiple-output (MIMO) channel environments. From the observation that the current data rate divided by the long-term average throughput of each user is roughly around a similar level, we propose estimation methods for both single user MIMO (SU-MIMO) and simple multiuser MIMO (MU-MIMO) scheduling scenarios. Since our throughput estimation methods do not depend on the statistics of other users´ data rates, they can be easily implemented in practical systems regardless of user data rate distribution.