Interference-aware coordinated power allocation in autonomous Wi-Fi environment
Zhang, Yaodong, Jiang, Chunxiao, Han, Zhu, Yu, Shui and Yuan, Jian 2016, Interference-aware coordinated power allocation in autonomous Wi-Fi environment, IEEE Access: Green Communications and Networking for 5G Wireless, vol. 4, pp. 3489-3500, doi: 10.1109/ACCESS.2016.2585581.
Self-managed access points (APs) with growing intelligence can optimize their own performances but pose potential negative impacts on others without energy ef ciency. In this paper, we focus on modeling the coordinated interaction among interest-independent and self-con gured APs, and conduct the power allocation case study in the autonomous Wi-Fi scenario. Speci cally, we build a `coordination Wi-Fi platform (CWP), a public platform for APs interacting with each other. OpenWrt-based APs in the physical world are mapped to virtual agents (VAs) in CWP, which communicate with each other through a standard request-reply process de ned as AP talk protocol (ATP).With ATP, an active interference measurement methodology is proposed re ecting both in-range interference and hidden terminal interference, and the Nash bargaining-based power control is further formulated for interference reductions. CWP is deployed in a real of ce environment, where coordination interactions between VAs can bring a maximum 40-Mb/s throughput improvement with the Nash bargaining-based power control in the multi-AP experiments.
Field of Research
080503 Networking and Communications
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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