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On Interference Aware Power Adjustment and Scheduling in Femtocell Networks
IEEE/ACM Transactions on Networking ( IF 3.7 ) Pub Date : 2020-03-02 , DOI: 10.1109/tnet.2020.2973833
Michael Lin , Novella Bartolini , Michael Giallorenzo , Thomas F. La Porta

Densely-deployed femtocell networks are used to enhance wireless coverage in public spaces such as office buildings, subways, and academic buildings. These networks can increase user throughput, but edge users can suffer from co-channel interference and service outages. This paper introduces a distributed algorithm for network configuration, called Radius Reduction and Scheduling (RRS), to improve the performance and fairness of the network. RRS works by jointly adapting femtocell transmission power, allocating user to femtocells, and scheduling resource blocks so as to increase fairness and reduce outage probability in dense femtocell networks. RRS produces a network configuration that guarantees either user or area coverage depending on the management needs. A prototype implementation confirms the benefits of RRS in a real environment. Furthermore, extensive simulations show that RRS reduces the outage probability of up to 50%, and provides better fairness, with an increase in Jain’s index of 190%, with respect to a baseline algorithm which works with fixed power and best-effort scheduling and to a previous approach to resource management in femtocell networks.

中文翻译:

毫微微小区网络中的干扰感知功率调整与调度

密集部署的毫微微小区网络用于增强办公场所,地铁和学术大楼等公共场所的无线覆盖范围。这些网络可以提高用户吞吐量,但是边缘用户可能会受到同频道干扰和服务中断的困扰。本文介绍了一种用于网络配置的分布式算法,称为半径缩减和计划(RRS),以提高网络的性能和公平性。RRS的工作方式是联合调整毫微微小区的传输功率,将用户分配给毫微微小区并调度资源块,以提高公平性并降低密集的毫微微小区网络中的中断概率。RRS生成网络配置,该配置可根据管理需要来保证用户或区域的覆盖范围。原型实现确认了RRS在实际环境中的好处。此外,广泛的仿真表明,相对于可在固定功率和尽力而为调度下工作的基准算法,RRS可以将中断概率降低多达50%,并提供了更好的公平性,Ja那教的指数增加了190%。毫微微小区网络中资源管理的先前方法。
更新日期:2020-04-22
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