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作 者:王安义[1] 范蕊 张育芝 WANG An-yi;FAN Rui;ZHANG Yu-zhi(School of Communication and Information Engineering,Xi’an University of Science and Technology,Xi’an 710054,China)
机构地区:[1]西安科技大学通信与信息工程学院,西安710054
出 处:《科学技术与工程》2021年第10期4110-4116,共7页Science Technology and Engineering
基 金:国家自然科学基金(61801372);陕西省重点产业创新链(2019ZDLSF07-06)。
摘 要:为降低基于频率复用水声网络系统的小区间干扰,以及提高系统平均吞吐量,提出了一种基于时延差的软频率复用(T-soft frequency reuse, T-SFR)系统,对小区间的干扰抑制和小区内的自适应资源分配两个问题进行优化。在小区间,提出了T-SFR利用不同信道之间的时延差进行干扰缓解,并基于水声信道的路径损耗进行频带分配。在小区内,针对水声信道的时变特性带来的反馈信道状态信息(channel state information, CSI)延迟的影响,建立了一种线性有限状态马尔可夫链(linear finite state Markov chain, LFSMC)预测器,以获得更准确的CSI用于自适应资源分配。仿真结果表明:与传统的频率复用方案相比,提出的T-SFR方案可以保证小区边缘节点对信干噪比(signal to interference noise ratio, SINR)的要求,有效缓解小区边缘节点的干扰;在建立LFSMC预测器获取更准确CSI的基础上,时变水声网络的每个小区内以及整个系统都能够获取更优的平均吞吐量。In order to reduce the inter-cell interference caused by frequency reuse underwater acoustic network system and improve the system average throughput, a soft frequency reuse(T-SFR) system based on delay difference was proposed to optimize the interference suppression between cells and adaptive resource allocation within cells. For inter-cell, the delay difference between different channels was used to eliminate interference in the T-SFR,and the frequency band was allocated according to the path loss of underwater acoustic(UWA) channel. For inner-cell, a linear finite state Markov chain(LFSMC) predictor was established for the effect of the feedback channel state information(CSI) delay caused by the time-varying characteristics of the UWA channel to obtain more accurate CSI to adaptive resource allocation. The simulation results show that the T-SFR scheme proposed in this paper can meet the requirements of the cell edge nodes on the signal to interference noise ratio(SINR), and effectively alleviate the interference of the cell edge nodes. With the more accurate CSI obtained by LFSMC forecaster, the better average throughput can be obtained in the cell and the whole system of time-varying UWA network.
分 类 号:TN929.3[电子电信—通信与信息系统]
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