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首页> 外文期刊>IEEE transactions on wireless communications >A Robust Opportunistic Relaying Strategy for Co-Operative Wireless Communications
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A Robust Opportunistic Relaying Strategy for Co-Operative Wireless Communications

机译:协作无线通信的鲁棒机会中继策略

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摘要

Using outdated channel state information (CSI) in an opportunistic relaying system (ORS) leads to wrong selection of the best relay, which substantially deteriorates its performance. In this paper, therefore, we propose a robust cooperative scheme coined opportunistic space-time coding (OSTC) to deal with the outdated CSI. A predefined number (i.e., ) of relays, instead of a single relay in ORS, are opportunistically selected from cooperating relays. At the selected relays, -dimensional orthogonal space-time coding is employed to encode the regenerated signals in a distributed manner. Then, branches coded signals are simultaneously transmitted from the relays to the destination, followed by a simple maximum-likelihood decoding at the receiver. To evaluate its performance, the closed-form expressions of outage probability and ergodic capacity are derived, together with an asymptotic analysis that clarifies the achievable diversity. Analytical and numerical results reveal that a full diversity of is reaped by the proposed scheme when the knowledge of CSI is perfect. In the presence of outdated CSI, where the diversity of ORS degrades to one, the diversity of can be kept. Moreover, OSTC’s capacity is remarkably higher than that of the existing schemes based on orthogonal transmission. From the perspective of multiplexing-diversity tradeoff, the proposed scheme is the best cooperative solution until now.
机译:在机会中继系统(ORS)中使用过时的信道状态信息(CSI)会导致对最佳中继的错误选择,从而大大降低其性能。因此,在本文中,我们提出了一种可靠的合作方案,即机会时空编码(OSTC),以应对过时的CSI。从协作的继电器中适当地选择预定数量的继电器(即),而不是ORS中的单个继电器。在所选择的中继器处,采用三维正交空时编码以分布式方式对再生信号进行编码。然后,分支编码信号同时从中继站传输到目的地,然后在接收机处进行简单的最大似然解码。为了评估其性能,推导了中断概率和遍历容量的封闭形式,并通过渐进分析来阐明可实现的多样性。分析和数值结果表明,当CSI的知识是完美的时,所提出的方案可充分利用的多样性。在存在过时的CSI(ORS的多样性降级为1)的情况下,可以保留的多样性。而且,OSTC的容量明显高于基于正交传输的现有方案的容量。从多路复用-分集权衡的角度来看,该方案是迄今为止最好的协作解决方案。

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