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Cooperative two-path relay channels: Performance analysis using a Markov framework

机译:合作两路中继通道:使用马尔可夫框架的性能分析

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We consider a cooperative two-path relay channel (TPRC) where a data source transmits new packets to a corresponding destination, with the assistance of two intermediate relays alternatively. When the transmitted source packet is successfully decoded by a relay, the relay proceeds to forward this packet in the subsequent time slot, otherwise it simply stays silent. Due to the inter-relay channels, the decoding result at a relay in the current time slot depends on the decoding result at the other relay in the previous time slot and not on that preceded it. In view of this property, we employ a Markov framework to analyze the decoding performance at the relays. The decoding of successive packets received at the destination can be similarly analyzed by using a Markov chain. Closed-form expressions of the outage probability are derived for TPRC by exploiting the properties of a Markov chain. Numerical results demonstrate that with the proposed scheme, a reasonably good performance is achieved with only a single-slot delay and relatively low complexity.
机译:我们考虑一个合作的两路径中继信道(TPRC),其中数据源可替代地在两个中间中继的帮助下将新的数据包传输到相应的目的地。当传输的源数据包被中继器成功解码后,中继器将继续在后续时隙中转发此数据包,否则中继器将保持静默状态。由于中继间信道,当前时隙中的一个中继器处的解码结果取决于前一个时隙中的另一个中继器处的解码结果,而不取决于它之前的时隙。鉴于此属性,我们采用了马尔可夫框架来分析中继站的解码性能。可以使用马尔可夫链类似地分析在目的地接收到的连续数据包的解码。通过利用马尔可夫链的性质,可以得出TPRC停机概率的闭式表达式。数值结果表明,利用所提出的方案,仅单时隙延迟和相对较低的复杂度就可以实现相当好的性能。

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