对于多用户中继系统中上行反馈量过大的问题,研究提出了一种基于多门限减少反馈的半分布式调度算法.该算法在基站与中继分别设置反馈门限,依据在多门限假设下可以得到总反馈用户数表达式,进而算出多个门限值;又根据中断概率算得一个门限...对于多用户中继系统中上行反馈量过大的问题,研究提出了一种基于多门限减少反馈的半分布式调度算法.该算法在基站与中继分别设置反馈门限,依据在多门限假设下可以得到总反馈用户数表达式,进而算出多个门限值;又根据中断概率算得一个门限,将该门限值作为多门限的下限.将两种门限值相结合以限制用户反馈量.对AF(Amplify and Forward)协议下采用该算法的反馈用户数及系统容量等性能指标给出了理论推导.仿真结果表明,该算法可较单门限算法进一步地减少反馈量,并降低系统的反馈中断概率,增大了系统容量.展开更多
For the cooperative multi-cell systems with muki-user MIMO, a new limited feedback bit allocation scheme is proposed to minimize the rate loss caused by quantization error. In the proposed scheme, the Channel State In...For the cooperative multi-cell systems with muki-user MIMO, a new limited feedback bit allocation scheme is proposed to minimize the rate loss caused by quantization error. In the proposed scheme, the Channel State Information （CSI） feedback of cell-edge user for the local service cell and the adjacent interference cell are separately quantized. Based on the upper bound of the rate loss of cell-edge user due to the limited feedback, the number of feedback bits for quantized CSI of the local service cell and the adjacent cell are optimized with the fixed total bits of the limited feedback. The simulation shows that our proposed scheme of feedback bits allocation efficiently decreases the interference and increases the rate of systems compared with that of equal bits allocation and those of other allocations.展开更多
Recently,Quality of Experience(QoE)has been introduced as a subjective measure of a user’s experience of communication services.QoE was expected to take the place of traditional Quality of Service(QoS)measure in that...Recently,Quality of Experience(QoE)has been introduced as a subjective measure of a user’s experience of communication services.QoE was expected to take the place of traditional Quality of Service(QoS)measure in that QoE may express a direct and accurate user experience.In this paper,we propose a QoE management scheme which is based on a user’s simple feedback.We explain the proposed QoE management steps and the dominant reason extraction algorithm to determine the quality-falling instance.We also present a QoE prediction method that will provide an optimal quality management scheme in communication services.Experiments on multimedia streaming service prove the efficiency of the dominant factor extraction algorithm,and the experiment using the QoE prediction method present a very high accuracy.The QoE management scheme proposed in this paper can be generally adapted to any communication services,to increase the efficiency and effectiveness of quality management systems.展开更多
文摘对于多用户中继系统中上行反馈量过大的问题,研究提出了一种基于多门限减少反馈的半分布式调度算法.该算法在基站与中继分别设置反馈门限,依据在多门限假设下可以得到总反馈用户数表达式,进而算出多个门限值;又根据中断概率算得一个门限,将该门限值作为多门限的下限.将两种门限值相结合以限制用户反馈量.对AF(Amplify and Forward)协议下采用该算法的反馈用户数及系统容量等性能指标给出了理论推导.仿真结果表明,该算法可较单门限算法进一步地减少反馈量,并降低系统的反馈中断概率,增大了系统容量.
基金Acknowledgements The authors would like to thank the reviewers for their detailed reviews and constructive comments, which have helped to improve the quality of this paper. This work was supported partiaUy by the National Natural Science Foundation of China under Grant No. 60772110 Fundamental Research Funds for the Central Universities.
文摘For the cooperative multi-cell systems with muki-user MIMO, a new limited feedback bit allocation scheme is proposed to minimize the rate loss caused by quantization error. In the proposed scheme, the Channel State Information （CSI） feedback of cell-edge user for the local service cell and the adjacent interference cell are separately quantized. Based on the upper bound of the rate loss of cell-edge user due to the limited feedback, the number of feedback bits for quantized CSI of the local service cell and the adjacent cell are optimized with the fixed total bits of the limited feedback. The simulation shows that our proposed scheme of feedback bits allocation efficiently decreases the interference and increases the rate of systems compared with that of equal bits allocation and those of other allocations.
基金supported by the Ministry of Knowledge Economy (MKE), Korea, under the Convergence Information Technology Research Center (CITRC) support program, under Grant No. NIPA-2012-H0401-12-1002supervised by the National IT Industry Promotion Agency (NIPA)
文摘Recently,Quality of Experience(QoE)has been introduced as a subjective measure of a user’s experience of communication services.QoE was expected to take the place of traditional Quality of Service(QoS)measure in that QoE may express a direct and accurate user experience.In this paper,we propose a QoE management scheme which is based on a user’s simple feedback.We explain the proposed QoE management steps and the dominant reason extraction algorithm to determine the quality-falling instance.We also present a QoE prediction method that will provide an optimal quality management scheme in communication services.Experiments on multimedia streaming service prove the efficiency of the dominant factor extraction algorithm,and the experiment using the QoE prediction method present a very high accuracy.The QoE management scheme proposed in this paper can be generally adapted to any communication services,to increase the efficiency and effectiveness of quality management systems.
