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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Optimal energy-efficient pair-wise cooperative transmission scheme for wimax mesh networks
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Optimal energy-efficient pair-wise cooperative transmission scheme for wimax mesh networks

机译:Wimax网状网络的最佳节能高效成对协同传输方案

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摘要

Recently, there has been a steady trend toward the development of subscriber stations (SSs) to enable the ubiquitous communications. In the mobile environment, the power consumption of an SS is an important performance indicator because its battery life is limited. Many existing power-saving schemes for the IEEE 802.16e Mobile WiMax system have been proposed, such as scheduling algorithms for the sleep intervals. However, this type of approaches may be unrealistic for heavy network traffic since the SSs almost always have data to transmit. In this paper, we propose a new power-saving scheme by introducing the pair-wise matching procedure between the SSs prior to uplink data transmission in the WiMax mesh mode. According to the quality-of-service (QoS) requirement, we can preset the desired packet error rate (PER) or signal-to-interference-plus-noise-ratio (SINR) at the receiver end. Given the network topology and the channel state information, the required transmitting power per coded bit at each SS can be calculated. Then we may establish a cost function associated with the required transmitting power per coded bit and thus the optimal matching can be achieved by our proposed minimum weight matching algorithm. The numerical results show the significant improvement of the transmitting power consumption using our proposed method over the conventional scheme when we consider three aspects such as channel effects, coding/modulation options and network topology.
机译:近来,存在着发展用户站(SS)以实现无处不在的通信的稳定趋势。在移动环境中,SS的功耗是一项重要的性能指标,因为它的电池寿命有限。已经提出了许多用于IEEE 802.16e移动WiMax系统的节能方案,例如休眠间隔的调度算法。然而,由于SS几乎总是具有要发送的数据,因此这种类型的方法对于繁重的网络业务可能是不现实的。在本文中,我们通过在WiMax网状模式下的上行链路数据传输之前引入SS之间的成对匹配过程,提出了一种新的节能方案。根据服务质量(QoS)的要求,我们可以在接收器端预设所需的分组错误率(PER)或信号干扰加噪声比(SINR)。给定网络拓扑和信道状态信息,可以计算每个SS处每个编码位所需的发射功率。然后,我们可以建立与每个编码比特所需的发射功率相关的成本函数,从而可以通过我们提出的最小权重匹配算法来实现最佳匹配。数值结果表明,当我们考虑信道效应,编码/调制选项和网络拓扑等三个方面时,我们提出的方法相对于传统方案可以显着改善发射功率。

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