QoE-Based Precoding for Partially Massive MIMO

In literatures, many works on the area of massive MIMO (Multi Input Multi Output) presented the improvement of signal quality by using precoding in accordance with partial structure. However, only signal quality is not good enough to represent the satisfaction of users. In this paper, we proposed the precoding for partially-structured massive MIMO by utilizing user satisfaction in term of Quality of Experience (QoE). The level of Mean Opinion Score (MOS) is adopted to express QoE of web browsing service. In the first step, we optimize the baseband precoding and RF precoding by proposing the alternating minimization methods, then optimize the QoS parameters for the best QoE. The results show that the optimized QoS parameters lead to the satisfaction of user and the achieving of the required level of QoE.