A sub-band based CAC scheme using adaptive codec switching for improved capacity and GoS of cognitive VoIP users

Sudipta Dey, T. Chakraborty, I. S. Misra
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引用次数: 2

Abstract

Cognitive Radio Network (CRN) is one of the emerging technologies to improve the spectrum utilization where Secondary Users (SUs) opportunistically uses the spectrum without creating significant interference to Primary Users (PUs). However, in CRN channel characteristics varies widely due to the random arrival of PUs which leads to call dropping/call blocking. Excessive call dropping reduces the quality of VoIP communication for SU's. Quality of Service (QoS) can be improved by exclusive channel reservation for SUs which involves policy formation and cost implication. To avoid the complexity, we have used sub-banding concept for Call Admission Control (CAC) scheme and utilized the scheme for VoIP applications using Adaptive Codec Switching Policy. Test bed analysis is performed to evaluate the behavior of some well known high/low bit rate codecs in CRN. Overall system performance is evaluated by using two dimensional Markov Model. Analysis shows that there is significant improvement in system capacity as probability of dropping and probability of blocking reduces. Finally Grade of Service (GoS) is considered as overall system performance metric which shows nearly 39% improvement under high SU traffic condition.
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一种基于子带的CAC方案,采用自适应编解码交换,提高了认知VoIP用户的容量和GoS
认知无线网络(CRN)是一种提高频谱利用率的新兴技术,次要用户(su)可以在不对主用户(pu)产生明显干扰的情况下利用频谱。然而,在CRN中,由于pu的随机到达导致呼叫丢失/呼叫阻塞,信道特性变化很大。过多的掉线会降低SU的VoIP通信质量。服务质量(QoS)可以通过为SUs预留独占通道来提高,这涉及到策略的形成和成本的隐含。为了避免复杂性,我们在呼叫接纳控制(CAC)方案中使用了子带概念,并将该方案用于使用自适应编解码交换策略的VoIP应用。对CRN中一些知名的高/低比特率编解码器的性能进行了测试分析。利用二维马尔可夫模型对系统整体性能进行了评价。分析表明,随着跌落概率和阻塞概率的降低,系统容量显著提高。最后,服务等级(GoS)被认为是整体系统性能指标,在高SU流量条件下显示了近39%的改进。
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