MIMO Scheduling Effectiveness Analysis for Bursty Data Service from View of QoE

In the user selection phrase of the conventional Multiple-input-multiple-output(MIMO) scheduling schemes,the frequent user exchange deteriorates the Quality of user experience(Qo E) of the bursty data service.And the channel vector orthogonalization computation results in a high time cost.To address these problems,we propose an inertial scheduling policy to reduce the number of noneffective user exchange,and substitute self-organization policy for channel vector orthogonalization computation to reduce computational complexity.The relationship between the scheduling effectiveness and the inertia of objective function is observed in the simulation.The simulation results show that the inertial scheduling policy effectively reduce the number of potential noneffective scheduling which is inversely proportional to the Mean opinion score(MOS)that quantifies the Qo E.Our proposed scheduling scheme provides significant improvement in Qo E performance in the simulation.Although the proposed scheduling scheme does not consider the channel vector orthogonalization in the user selection phrase,its throughput approaches the level of the throughput-oriented scheme because of its selforganization scheduling policy.