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.

翻译：未知干扰的存在是无线通信网络中的普遍问题。特别是在多用户多输入多输出（MIMO）网络中，当大量用户设备在相同时频资源上被服务时，中断性能可能受限于相邻小区调度变化引起的未知干扰。本文提出了一种贝叶斯方法，用于对蜂窝网络上行链路中的未知干扰功率进行建模。数值结果表明，该方法能够准确建模未知干扰功率的分布，并可有效用于具有保证目标中断性能的速率自适应。