Transmission Scheduling of Millimeter Wave Communication for High-Speed Railway in Space-Air-Ground Integrated Network
Year: 2024
Type: article
Abstract: The space-air-ground integrated network (SAGIN) greatly improves coverage and reliability for millimeter-wave (mmWave) communication in high-speed railway (HSR) scenarios. However, a significant challenge arises in the transmission scheduling due to the rapid changes in channel state, link selection for train mobile relays (MRs), and order of the flow scheduling. To tackle this challenge, we introduce an optimization problem focused on maximizing the weighted sum completed flows that satisfy the quality of service (QoS) requirements for HSR mmWave communication in SAGIN. To facilitate the simultaneous scheduling of flows by base station-MR (BS-MR), satellite-airship-MR, and satellite-MR links, we propose a link selection algorithm, which can help each flow choose a suitable set of links in every frame and determine whether the BS networks need the assistance of the satellite and airship. Furthermore, taking into account the priority and occupied time slots (TSs) resource of different flows, we propose a multi-link weighted flow scheduling (MWFS) algorithm. This algorithm not only prioritizes scheduling high-priority flows but also aims to maximize the weighted sum completed flows for MRs. Our simulation results confirm that the proposed algorithm significantly increases the weighted sum completed flows and the total transmitted bits. Additionally, the proposed algorithm can achieve the optimal flow transmission in different link switching periods and enhance the scheduling of high-priority flows compared to other algorithms.
Authors: Lei Liu, Bo Ai, Yong Niu, Zhu Han, Ning Wang, Lei Xiong, Ruisi He
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, U.S. Department of Transportation, National Natural Science Foundation of China, Toyota Motor Corporation, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Division of Civil, Mechanical and Manufacturing Innovation, Division of Electrical, Communications and Cyber Systems
Awards: G1603840610, Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks, G2081767737, G2461758718, G2760428668, G2886599886, G2988087636, G342761634, G4043391837, G5331489779, G5737306986, Collaborative Research: CNS Core: Medium: Exploiting New Degrees-of-Freedom in Wireless Networks with Reprogrammable Intelligent Metagratings, G62366768, G6265652874, G6440702721, G6495125354, G6583841394, G6755018190, G7052355602, FW-HTF-R/Collaborative Research: FAIR4WISE: Future AI and Robotics for Women in Smart Engineering, G7681521140, G8138337423, G8331598731, G8519647467, G886140248, Excellence in Research: Research Capacity and Partnerships Building in Next-Generation Communication Ecosystems with Vertical Intelligence
OpenAlex ID: W4403534452