  The existence of unknown interference is a prevalent problem in wireless
communication networks. Especially in multi-user multiple-input multiple-output
(MIMO) networks, where a large number of user equipments are served on the same
time-frequency resources, the outage performance may be dominated by the
unknown interference arising from scheduling variations in neighboring cells.
In this letter, we propose a Bayesian method for modeling the unknown
interference power in the uplink of a cellular network. Numerical results show
that our method accurately models the distribution of the unknown interference
power and can be effectively used for rate adaptation with guaranteed target
outage performance.
