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ON THE PERFORMANCE ANALYSIS OF EPRMA PROTOCOL WITH MARKOV CHAIN MODEL

机译:用MARKOV链模型分析EPRMA协议的性能。

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The Extended Packet Reservation Multiple Access (EPRMA) is a multiple access protocol developed from the original PRMA technique. Multi-bit-rate reservation is supported for broadband services. In this paper, an innovative method utilizing a Markov chain model is used to conduct the precise performance analysis of EPRMA for voice traffic. The average number of terminals in the reservation state is found out first under the condition that a constant number of terminals are in the burst period. From that, performance measures, such as channel throughput, packet dropping probability and average access delay are derived. The results match those of the computer simulation. For voice sources with slow speech activity detection and four carriers with 20 time slots per frame shared by a group of users, 42 simultaneous conversations per carrier can be supported by the EPRMA scheme with a packet dropping probability of less than 1%.
机译:扩展数据包保留多路访问(EPRMA)是从原始PRMA技术发展而来的多路访问协议。宽带服务支持多比特率预留。在本文中,使用马尔可夫链模型的创新方法用于对语音流量进行EPRMA的精确性能分析。首先,在突发期间中,在一定数量的终端的条件下,求出处于预约状态的终端的平均数量。由此得出性能度量,例如信道吞吐量,数据包丢弃概率和平均访问延迟。结果与计算机模拟的结果相符。对于具有慢速语音活动检测的语音源和一组用户共享的每帧20个时隙的四个载波,EPRMA方案可以支持每个载波42个同时通话,且丢包率小于1%。

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