Frequency Assignment for Guaranteed QoS in Two-Ray Models with Limited Location Information
Year: 2025
Type: conference-paper
Abstract: We consider a two-ray channel model in which the distance between transmitter and receiver is only known up to an interval. Due to the unknown distance, destructive interference might occur which significantly reduces the receive power. To mitigate this problem, multiple frequencies can be used in parallel. In this work, we consider a worst-case design approach which allows maximizing the guaranteed quality of service (QoS) despite the uncertainty about the channel. First, we derive the worst-case receive power within the uncertainty region. Next, we compare different approaches to assign frequencies to the user such that the worst-case is maximized. We propose a greedy algorithm, which significantly outperforms standard baseline schemes while also being resource efficient. With this, the communication system can be designed such that a certain performance can always be guaranteed, and ultra-reliability is practically achieved.
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks, Probabilistic Tomography of Wireless Networks, Verbundprojekt: 6G Research and Innovation Cluster (6G-RIC) Offene und sichere 6G-Technologien: Weltmarktchance für Deutschland - 6G-RIC -, Teilvorhaben: Integrierte Schaltungen, Kommunikationstechnik und Netzwerke für die 6. Mobilfunkgeneration
OpenAlex ID: W4413680236
