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Soft Frequency Reuse for Underwater Acoustic Sensor Networks with Interference Mitigation and Adaptive Resources Allocation

机译:具有干扰缓解和自适应资源分配的水下声学传感器网络的软频率重用

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The available bandwidth for underwater acoustic (UWA) communication and networks is very limited and frequency reuse is one of the important techniques to improve spectrum efficiency and system capacity. In this paper, a soft frequency reuse (SFR) system is proposed for UWA multi-cell networks, with the consideration of channel features in two aspects, one is inter-cell interference mitigation, another is inner-cell resources allocation. For inter-cell, the propagation speed of UWA signal is very slow, resulting in that signals will arrive at receiver with difference delays, herein a new idea to mitigate the inter-cell interference based on propagation delay differences has been proposed. For inner-cell, resources allocation for multiple nodes can be performed according to the feedback channel state information (CSI). Dealing with the effect of time-varying UWA channel on the feedback CSI, a linear finite state Markov chain (LFSMC) predictor is proposed to obtain more accurate CSI for adaptive allocation. The allocation objective is to maximum network throughput. The simulation results have shown that, the proposed delay aware SFR performs higher signal to interference plus noise ratio (SINR) and spectrum efficiency in comparison to traditional SFR and FFR, and adaptive resources allocation with LFSMC predicted CSI has higher throughput. Finally, with the proposed scheme, UWA sensor networks can achieve better throughput performance in comparison to FFR and SFR without propagation delay and resources allocation consideration.
机译:水声(UWA)通信和网络的可用带宽非常有限,并且频率重用是提高频谱效率和系统容量的重要技术之一。在本文中,一个软频率重用(SFR)系统提出了一种用于UWA多小区网络中,与信道的考虑在两个方面的特征,一个是小区间干扰减轻,另一个是小区内的资源分配。对于小区间,UWA信号的传播速度非常慢,导致在信号将在到达接收机与差的延迟,在此新的想法,以减轻根据传播延迟差的小区间干扰已提议。对于小区内,可以根据反馈信道状态信息(CSI)来执行资源分配用于多个节点。随时间变化的信道UWA的所述反馈CSI,线性有限状态Markov链(LFSMC)预测的效果处理,提出了以获得更准确的CSI用于自适应分配。分配的目标是最大的网络吞吐量。仿真结果表明,所提出的延迟意识到SFR执行更高的信号对干扰加噪声比(SINR)和频谱效率相比于传统的SFR和FFR,并用LFSMC自适应资源分配预测CSI具有更高的吞吐量。最后,所提出的方案,UWA传感器网络可以相比于FFR和SFR无传播延迟和资源分配考虑实现吞吐量性能更好。

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