为了满足数据传输的时延约束,提出一种多天线系统的下行帧长优化方案.由于传统的物理层信道模型在评估服务质量方面的局限性,该方案应用有效带宽与有效容量概念从链路层对源数据模式与队列服务动态进行统计特性建模.该链路层模型分别描述了源数据产生过程、信道服务过程与服务质量参数之间的映射关系,将超时违约概率约束转化为数据传输速率限制,将帧长优化问题转换为求解多元联合不等式组.在块衰落信道场景中,求解满足多元联合方程的帧长域下界,得到超时违约概率约束下的最佳系统帧长.理论分析和仿真结果表明,在最佳帧长设置下,用户数据传输的超时违约概率满足要求.
A flame length optimization scheme is proposed for multi-antenna downlink systems to guarantee diverse delay- bound violation probability constraints. Due to the difficulties of extracting the quality of service (QoS) metrics from the conventional physical-layer channel models, the link-layer models named effective bandwidth and effective capacity are applied to statistically characterize the source traffic patterns and the queuing service dynamics. With these link-layer models, the source traffic process and the channel service process are mapped to certain QoS parameters. The packet delay-bound violation probability constraints are converted into minimum data rate constraints and the optimization problem is thus formulated into simultaneous inequalities. With the assumption of ergodic block-fading channels, the optimal frame lengths of single-user and multiuser systems are calculated respectively by numerical iterative methods. Theoretical analyses and simulation results show that the given delay-bound violation probability constraints are well satisfied with the optimal frame length.