首页> 外文期刊>Journal of Theoretical and Applied Information Technology >EFFECT OF FEEDBACK CHANNEL DELAY ON IMPROVED JOINT CARRIER SCHEDULING FOR HETEROGENEOUS SERVICES BASED 5G LTE-ADVANCED NETWORKS
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EFFECT OF FEEDBACK CHANNEL DELAY ON IMPROVED JOINT CARRIER SCHEDULING FOR HETEROGENEOUS SERVICES BASED 5G LTE-ADVANCED NETWORKS

机译:反馈通道延迟对基于5G LTE先进网络的异构服务改进的联合载波调度的影响

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5G Long Term Evolution-Advanced (LTE-A) network based Carrier Aggregation (CA) technique is a promising next generation of all IP mobile networks. The CA technique is very vital to support the 5G LTE-A network with unprecedented speed of data transmission and minimal latency. In order to support and meet the user level Quality-of-Services (QoS) obligations for diversified services ?Real-Time (RT) and Non-Real-Time (NRT) traffic?, one of the main challenges in the presence of CA is to offer robust and suitable resource scheduling scheme. For each transmission, the Channel Quality Information (CQI) for individual wireless channel is sent back to the base station eNB, which is used for selecting the suitable modulation and coding scheme. However, prospect delays in the reception of such CQI may lead degradation in QoS performance due to a mismatch between CQI and current channel state at the eNB. This paper, proposes an Improved Joint Carrier Scheduling (IJCS) algorithm which optimizes the performance of User-Level Quality of Service in 5G LTE-A system. The IJCS scheme is more suitable to various traffic users by introducing the service weight factor. As for different feedback delays, both carrier scheduling algorithms namely, JCS and IJCS scheme?s metrics were computed in order to achieve the user quality of service (QoS) and equitable allocation of radio resources among users. Furthermore, a comparison between these schemes metrics was done under different feedback delays to select the best one that can satisfy the user-level QoS constraints. Simulation outcomes demonstrate that the proposed IJCS scheme has achieve the QoS demands for real-time users and fulfils the user?s throughput requirements of NRT streaming video.
机译:基于5G高级长期演进(LTE-A)网络的载波聚合(CA)技术是所有IP移动网络的有希望的下一代。 CA技术对于以前所未有的数据传输速度和最小的延迟来支持5G LTE-A网络至关重要。为了支持和满足用户级别的多样化服务“实时(RT)和非实时(NRT)流量”的服务质量(QoS)义务,这是存在CA的主要挑战之一提供健壮且合适的资源调度方案。对于每次传输,将各个无线信道的信道质量信息(CQI)发送回基站eNB,该基站用于选择合适的调制和编码方案。然而,由于CQI和eNB处的当前信道状态之间的失配,这种CQI的接收中的预期延迟可能导致QoS性能的下降。本文提出了一种改进的联合载波调度(IJCS)算法,该算法优化了5G LTE-A系统中用户级服务质量的性能。通过引入服务权重因子,IJCS方案更适合各种流量用户。对于不同的反馈延迟,计算了两种载波调度算法,即JCS和IJCS方案的度量,以实现用户服务质量(QoS)和在用户之间公平分配无线资源。此外,在不同反馈延迟下对这些方案指标进行了比较,以选择可以满足用户级QoS约束的最佳方案。仿真结果表明,所提出的IJCS方案满足了实时用户的QoS要求,并满足了NRT流视频用户的吞吐量要求。

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