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Recently, the Effective Capacity of multi-user wireless scheduling has been analyzed based on large deviation principle. The users' queue length distribution bound of wireless scheduling algorithm such as round robin and rate maximum was discussed based on Effective Capacity analysis. But for Queue Length Based (QLB) Rate Maximum scheduling algorithm, the analysis result is only limited to system bound performance and not for each user's bound performance. In this paper, the authors consider each user's amount of input traffic and channel statistical characteristics and introduce a new Effective Capacity analysis model for QLB scheduling algorithm. The queue length distribution bound of the QLB scheduling algorithm for each user is then predicted by the proposed analysis model.
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