Abstract Next generation wireless systems are supposed to handle high amount of data with broader coverage and high quality of service (QoS). When a signal travels from a source to destination, the signal quality may suffer from the fading, which makes it difficult to receive correct messages. To handle the impact of fading, various diversity techniques are performed with Multiple Input Multiple Output (MIMO). Considering cooperative wireless networks, virtual MIMOs are being used, which also called cooperative diversity. In this paper, we propose a max-gain relay selection scheme (MGRS) for buffer-aided wireless cooperative networks. This scheme determines the best link using the maximum gain based on quality of link and available buffer size. The time slot is divided into two parts, one is used to choose the best link from the source to relay transmission (odd slot) and another time slot (even) is used based on the selection of the best link from the relay to destination. Markov chain model is use to measure buffer status and QoS parameters to evaluate the performance. The proposed scheme provides better QoS (12%) compared to the existing relay selection schemes with respect to throughput, end-to-end delay and outage probability.

中文翻译：

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无线网络最大增益中继选择方案

摘要 下一代无线系统应该以更广的覆盖范围和高质量的服务 (QoS) 处理大量数据。当信号从源传输到目的地时，信号质量可能会受到衰落的影响，从而难以接收到正确的消息。为了处理衰落的影响，使用多输入多输出 (MIMO) 执行各种分集技术。考虑到协作无线网络，正在使用虚拟 MIMO，也称为协作分集。在本文中，我们提出了一种用于缓冲辅助无线协作网络的最大增益中继选择方案（MGRS）。该方案使用基于链路质量和可用缓冲区大小的最大增益来确定最佳链路。时间段分为两部分，一个用于选择从源到中继传输的最佳链路（奇数时隙），另一个时隙（偶数）用于选择从中继到目的地的最佳链路。马尔可夫链模型用于测量缓冲区状态和QoS参数以评估性能。与现有的中继选择方案相比，所提出的方案在吞吐量、端到端延迟和中断概率方面提供了更好的 QoS (12%)。