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Quasi-static resource allocation with interference avoidance for fixed wireless systems

机译:固定无线系统中避免干扰的准静态资源分配

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We propose a novel intercell interference management technique, called quasi-static resource allocation with interference avoidance (QRA-IA), for fixed broadband wireless systems with narrow sectors or equipped with fixed or adaptive array antennas. The basic idea of QRA-IA is for every base to periodically turn off each of its beams (sectors) for a certain amount of time. This periodic turn off introduces a predictable nonuniformity in a terminal's performance and therefore permits each terminal to identify a preferred time period for transmission. QRA-IA requires that each terminal sense the interference over time, select the preferred transmission periods, and report these to the base. The resource allocation algorithm at the base can then use this information for scheduling transmissions to the terminals. The base can also use this information for obtaining an appropriate beam-off sequence. A graph theory model is used to show that an acceptable beam-off sequence exists for each base. A simple, distributed, and measurement-based beam-switching algorithm is designed for the system to find these sequences autonomously. We demonstrate via simulations that a system with QRA-IA provides a marked improvement in the packet error rate performance of terminals over the same system without QRA-IA. This improvement translates directly to improved coverage and throughput and also reduces the burden on higher layer protocols to ensure fairness and quality of service.
机译:我们提出了一种新颖的小区间干扰管理技术,称为带干扰避免的准静态资源分配(QRA-IA),用于具有窄扇区或配备有固定或自适应阵列天线的固定宽带无线系统。 QRA-IA的基本思想是让每个基站在一定时间内定期关闭其每个波束(扇区)。这种周期性的关闭在终端的性能中引入了可预测的不均匀性,因此允许每个终端标识优选的传输时间段。 QRA-IA要求每个终端随时间推移感测干扰,选择首选的传输周期,并将其报告给基站。然后,基地处的资源分配算法可以使用此信息来调度到终端的传输。基地也可以使用该信息来获得适当的束离序列。使用图论模型显示每个碱基都存在可接受的离束序列。为系统设计了一种简单,基于分布式和基于测量的波束切换算法,以自动找到这些序列。我们通过仿真证明,与没有QRA-IA的同一系统相比,具有QRA-IA的系统可显着改善终端的分组错误率性能。这种改进直接转化为改善的覆盖范围和吞吐量,还减轻了高层协议的负担,以确保服务的公平性和质量。

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