基于QoS的上行调度算法研究
首发时间:2016-12-21
摘要:随着无线通信与生产需求的发展,越来越多的任务需要设备在没有人干预的情况下进行相互通信来完成,我们称之为 M2M通信。LTE网络支持IP互联,灵活分配无线资源,支持设备大规模接入网络,可以广泛地应用于M2M通信。在M2M通信中,上行传输占据很大的比重。因此,本文研究上行调度算法,将其分成两部分:上行时域调度和上行资源分配,并对时域调度算法进行改进。我们改进PF算法,考虑了用户时延,并且通过估计CQI的概率分布函数评价当前CQI在自身统计数据上的的优劣。在LTE系统机制内,上行调度器无法得到用户时延。因此,我们设计一种机制,通过BSR估计用户时延。最后对改进算法进行仿真,仿真结果表明该算法可以在保证用户的最大时延需求下有效提高系统吞吐率。
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Research on Uplink Scheduling Algorithm Based on QoS
Abstract:With the development of wireless communication and the demand of production, many missions require machine to machine communication(M2M). LTE network supports native IP connection and large-scale equipment accessing to network。So it is widely used in M2M communications. In M2M communication, the uplink transmission occupies a large proportion. Therefore, this paper studies the uplink scheduling algorithm, which is divided into two parts: the uplink time-domain scheduling and uplink resource allocation, and we improve the time-domain scheduling algorithm. We improve the PF algorithm by taking into account the user's delay, and estimating the probability distribution function of CQI to evaluate the position of the current CQI in the statistical data. The uplink scheduler can not get the user's delay in the LTE network. Therefore, we devise a mechanism to estimate the user's delay through the BSR. Simulation results show that the proposed algorithm can effectively improve the throughput of the system while guaranteeing the maximum delay requirement of the user.
Keywords: LTE uplink scheduling quality of service delay estimation
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