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Resource Allocation for Selective Relaying Based Cellular Wireless System with Imperfect CSI

机译:具有不完善CSI的基于选择中继的蜂窝无线系统的资源分配

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摘要

In this paper, we propose robust power allocation and admission control schemes for providing probabilistically constrained quality of service (QoS) in selective relaying based decode-and-forward (DF) cooperative cellular systems. The proposed schemes are robust against imperfect channel state information (CSI) in slow fading while optimizing the total uplink transmit power in these cooperative wireless networks. At first, we derive novel closed-form solutions for the optimization problem, where the objective is to minimize total uplink transmit power while meeting the probabilistic QoS guarantees for a given number of admitted users. This is achieved by approximating the probabilistic optimization problem into a convex deterministic form and then by deriving closed form analytical solutions for power allocation using Karush-Kuhn-Tucker (KKT) conditions. The closed-form property of these solutions allows us later to develop a very low-complexity suboptimal algorithm for joint admission control and power allocation in presence of imperfect CSI and selective relaying. We also conduct comprehensive simulation experiments to demonstrate the effectiveness of our proposed schemes and to highlight the benefits gained from considering channel estimation errors in resource allocation for cooperative cellular systems.
机译:在本文中,我们提出了鲁棒的功率分配和接纳控制方案,用于在基于选择中继的解码转发(DF)协作蜂窝系统中提供概率受限的服务质量(QoS)。所提出的方案在慢衰落中对不完善的信道状态信息(CSI)具有鲁棒性,同时在这些协作无线网络中优化了总的上行链路发射功率。首先,我们针对优化问题得出新颖的闭式解,其目的是在满足给定数量的允许用户的情况下满足概率QoS保证的同时,使总上行链路发射功率最小化。这是通过将概率优化问题近似为凸确定性形式,然后通过使用Karush-Kuhn-Tucker(KKT)条件得出功率分配的闭式分析解决方案来实现的。这些解决方案的闭合形式属性使我们以后可以开发出一种非常低复杂度的次优算法,以在存在不完善的CSI和选择性中继的情况下进行联合接纳控制和功率分配。我们还进行了全面的仿真实验,以证明我们提出的方案的有效性,并强调在协作蜂窝系统的资源分配中考虑信道估计误差而获得的收益。

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