CHEN Lei, JIANG Dingde, BAO Rong, XIONG Jiping, LIU Fuqiang, BEI Lulu. MIMO Scheduling Effectiveness Analysis for Bursty Data Service from View of QoE[J]. Chinese Journal of Electronics, 2017, 26(5): 1079-1085. doi: 10.1049/cje.2017.07.018
Citation: CHEN Lei, JIANG Dingde, BAO Rong, XIONG Jiping, LIU Fuqiang, BEI Lulu. MIMO Scheduling Effectiveness Analysis for Bursty Data Service from View of QoE[J]. Chinese Journal of Electronics, 2017, 26(5): 1079-1085. doi: 10.1049/cje.2017.07.018

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

doi: 10.1049/cje.2017.07.018
Funds:  This work is supported by the Seventh Framework Programme of European Union (No.PIRSES-GA-2013-612652), the National Natural Science Foundation of China (No.61571104, No.61071124), the General Project of Scientific Research of the Education Department of Liaoning Province (No.L20150174), the Program for New Century Excellent Talents in University (No.NCET-11-0075), the Business-University-Research Partnership Fund of Science and Technology Department of Jiangsu Province (No.BY2013020), and the Natural Science Foundation of Jiangsu Province (No.BK20161165).
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  • Corresponding author: JIANG Dingde (corresponding author) received the Ph.D. degree in communication and information systems from University of Electronic Science and Technology of China, China. He is now a professor in School of Computer Science and Engineering at Northeastern University, China. His research interests include network measurement, network security, Internet traffic engineering,and communication networks. He is a member of ACM, IEEE and IEICE. (Email:jiangdd@mail.neu.edu.cn)
  • Received Date: 2015-12-04
  • Rev Recd Date: 2016-11-07
  • Publish Date: 2017-09-10
  • 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 (QoE) 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 QoE. Our proposed scheduling scheme provides significant improvement in QoE 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.
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