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Traffic prediction based access control using different video traffic models in 3G CDMA high speed data networks

机译:在3G CDMA高速数据网络中使用不同视频流量模型的基于流量预测的访问控制

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The evolution of 3G Code Division Multiple Access (CDMA) network towards higher data rates is through the introduction of High Speed Downlink Packet Access (HSDPA) enhancement to the existing 3rd Generation Partnership Project (3GPP) standards. In this paper, an access control protocol is proposed for an integrated voice, video and non real-time data traffic on the forward link (cell-site to mobile). The protocol involves predicting the residual capacity available for the HSDPA traffic. This paper evaluates the performance of three video traffic models in predicting the number of data packets that could be scheduled at the next time slot. All three video traffic models exploit the frame properties of Motion Picture Experts Group (MPEG) traffic. The traffic models are based on Markovian, Autogressive (AR) and two-sided Markov Renewal Model (TSMR) processes. The performances of the proposed estimation schemes are compared with estimation scheme using static guard margin. Findings of this paper can be used to improve the downlink performance of non-real time data traffic in the presence of MPEG video traffic in 3G CDMA networks.
机译:3G码分多址(CDMA)网络向更高数据速率的演进是通过将高速下行链路分组接入(HSDPA)增强功能引入现有的第三代合作伙伴计划(3GPP)标准来实现的。在本文中,提出了一种访问控制协议,用于在前向链路(从蜂窝站点到移动站点)上集成语音,视频和非实时数据流量。该协议涉及预测可用于HSDPA通信的剩余容量。本文评估了三种视频流量模型在预测下一个时隙可以调度的数据包数量方面的性能。所有这三种视频流量模型都利用了运动图像专家组(MPEG)流量的帧属性。交通模型基于马尔可夫,自激(AR)和双面马尔可夫更新模型(TSMR)流程。将所提出的估计方案的性能与使用静态保护余量的估计方案进行比较。本文的发现可用于在3G CDMA网络中存在MPEG视频流量的情况下提高非实时数据流量的下行链路性能。

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