基于载波聚合的最大加权延迟优先算法的长期进化性能

H. Ramli
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引用次数: 12

摘要

具有严格服务质量(QoS)的保证比特率(GBR)应用越来越受到移动蜂窝用户的欢迎。这些对延迟敏感的应用需要在移动蜂窝系统上传输大带宽。支持更宽传输带宽的LTE-A有望满足这一关键需求。分组调度是LTE-A使用分组交换技术交付这些应用程序的关键特性之一。为了优化支持GBR应用的分组调度性能,本文将著名的单载波最大加权延迟优先(M-LWDF)算法应用于多载波下行LTE-A。仿真结果表明,改进的M-LWDF算法在每个无线电资源上执行分组调度,考虑了分组延迟和所有分量载波的总平均吞吐量,可以更有效地支持下行链路LTE-A中对延迟敏感的GBR应用。
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Performance of maximum-largest weighted delay first algorithm in long term evolution-advanced with carrier aggregation
Guaranteed Bit Rate (GBR) applications with strict Quality of Service (QoS) are getting increasingly popular among mobile cellular users. These delay-sensitive applications demand for a large bandwidth for transmission over the mobile cellular systems. Long Term Evolution-Advanced (LTE-A) that supports a wider transmission bandwidth is expected to meet this crucial demand. Packet scheduling is one of the key features as the LTE-A delivers these applications using packet-switching technology. To optimize packet scheduling performance for supporting the GBR applications, this paper adapts a well-known single-carrier Maximum-Largest Weighted Delay First (M-LWDF) algorithm into the multi-carrier downlink LTE-A. Simulation results have demonstrated that the adapted M-LWDF algorithm that performs packet scheduling on each radio resource, takes packet delay and the aggregated average throughput across all component carriers into consideration is more efficient for supporting the delay-sensitive GBR applications in the downlink LTE-A.
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